{"type": "FeatureCollection", "features": [{"id": "0007bad6-848d-4763-9813-d5ed21cde6ee", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "microplastics"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Multiple level; Winter wheat; Plant-soil system; Soil properties; Global change factors"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - \u00b5Plastic's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - \u00b5Plastic and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - \u00b5Plastic and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - \u00b5Plastic and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-03-19", "type": "Dataset", "created": "2024-02-27", "language": "eng", "title": "Interactive effects of microplastics with other environmental drivers in a plant-soil system", "description": "Our study reveals the effects of GCFs on a soil-crop system: in general, with an increasing number of GCFs, soil properties, and plant biomass reacted negatively. For example, the higher the level of GCFs, the lower the plant biomass and soil water stable aggregation. We also find that MP applied as a single factor had minimal effects on soil properties and crop growth. However, when combined with other individual factors, it significantly altered the effect size, sometimes even causing directional change. Our results revealed that the interaction between MP and other GCFs is not an additive response. Due to the characteristics of MP, the interaction mechanism between heavy metal and MP is obviously different from the response between drought and MP, and their combined effects on the soil-plant system may fundamentally vary Factor interactions are key to understanding and predicting how GCFs influence soil and plants. With an increasing number of GCFs involved, it becomes more and more complicated to predict effects on ecosystems. Our study is among the first to systematically examine how microplastic acts in combination with a range of other important environmental drivers, and thus offers a first step toward understanding these elusive interactive effects.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "microplastics", "opendata", "Multiple level; Winter wheat; Plant-soil system; Soil properties; Global change factors", "Boden"], "contacts": [{"name": "Hongyu Chen", "organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "hongyuc92@zedat.fu-berlin.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Matthias. C. Rillig", "organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "rillig@zedat.fu-berlin.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0007bad6-848d-4763-9813-d5ed21cde6ee", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Chen-Experimental photo2-Hongyu Chen.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "0007bad6-848d-4763-9813-d5ed21cde6ee", "name": "item", "description": "0007bad6-848d-4763-9813-d5ed21cde6ee", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0007bad6-848d-4763-9813-d5ed21cde6ee"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-19T00:00:00Z"}}, {"id": "0e018dea-ab53-461f-b454-2eaaca8c765c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[6.67, 47.98], [6.67, 51.27], [10.81, 51.27], [10.81, 47.98], [6.67, 47.98]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "winter wheat"}, {"id": "spring barley"}, {"id": "organic fertilizers"}, {"id": "ammonium"}, {"id": "nitrates"}, {"id": "protein quality"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata; Wheat"}, {"id": "barley"}, {"id": "organic agriculture"}, {"id": "Rhizosphere soil"}, {"id": "bulk soil"}, {"id": "microbial biomass"}, {"id": "microrespiration"}, {"id": "meta-barcode sequencing of bacterial community"}, {"id": "quantification of bacterial inoculant"}, {"id": "gluten"}, {"id": "HMW"}, {"id": "hordein"}, {"id": "ProteinZ"}, {"id": "bread quality"}, {"id": "grain storage protein"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - bread and beer's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - bread and beer and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - bread and beer and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - bread and beer and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-08-22", "type": "Dataset", "created": "2024-07-18", "language": "eng", "title": "Production of wheat and barley under reduced input in organic farming - Soil parameters for season I and II", "description": "During the last decades, organic farming has undergone a notable expansion as a common agricultural practice throughout the world. This, together with an increasing demand for fertilizer and pesticide reduction has led to consider different and new approaches. We investigate the effect of Hartmannibacter diazotrophicus strain E19, a plant growth promoting rhizobacterium, in order to enhance the production of wheat and barley under low energy input. For that, we analyze the effect of three factors: organic fertilizer (with and without, only wheat), row distance (15 cm and 50 cm), and bacterial inoculation (E19 and control) at two different organic experimental field stations (Gladbacherhof and Kleinhohenheim). The dataset provides information about different parameter determined from rhizosphere soil and root samples collected at two different developmental stages (flowering and milk/fully ripe), as well as, the grain yield, straw yield, 1000 kernel mass, and seed quality during the seasons 2020-2021 and 2021-2022. The following soil parameter were evaluated: ammonium, nitrate, carbon-nitrogen ratio, microbial biomass, the respiration activity using different carbon sources (glucose, galactose, N-acetylglucosamine, arginine). These data sets are currently under evaluation and complemented with the quantification from root samples through quantitative PCR (qPCR) of strain E19 and the metabarcoding sequencing of the bacterial communities based on 16S rRNA genes obtained from rhizosphere soil samples during the two seasons.  Soil parameter data\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "winter wheat", "spring barley", "organic fertilizers", "ammonium", "nitrates", "protein quality", "opendata; Wheat", "barley", "organic agriculture", "Rhizosphere soil", "bulk soil", "microbial biomass", "microrespiration", "meta-barcode sequencing of bacterial community", "quantification of bacterial inoculant", "gluten", "HMW", "hordein", "ProteinZ", "bread quality", "grain storage protein", "Boden"], "contacts": [{"name": "Santiago Quiroga", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Santiago.Quiroga@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0001-1392-8241", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sylvia Schnell", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "sylvia.schnell@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3903-6089", "name_url": "", "description": "orcid", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Stefan Ratering", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Stefan.Ratering@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7572-6306", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Azin Rekowski", "organization": "University of Hohenheim", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "azin.ghabelrahmat@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0179-663X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Christian Z\u00f6rb", "organization": "University of Hohenheim", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Christian.zoerb@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0000-5138", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sylvia Schnell", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sylvia.schnell@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3903-6089", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Justus-Liebig University Giessen;University of Hohenheim", "roles": ["contributor"]}], "title_alternate": "LTE: Part 1/5, table: Soil parameters for season I and II"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0e018dea-ab53-461f-b454-2eaaca8c7gmd:65c", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0e018dea-ab53-461f-b454-2eaaca8c765c", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "0e018dea-ab53-461f-b454-2eaaca8c765c", "name": "item", "description": "0e018dea-ab53-461f-b454-2eaaca8c765c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0e018dea-ab53-461f-b454-2eaaca8c765c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-22T00:00:00Z"}}, {"id": "10.1007/s11104-016-2986-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:13Z", "type": "Journal Article", "created": "2016-07-17", "title": "Interaction Of Long-Term Nitrogen Fertilizer Application, Crop Rotation, And Tillage System On Soil Carbon And Nitrogen Dynamics", "description": "Tillage system and crop rotation influences soil organic carbon (SOC) and total N (TN), but there remains considerable uncertainty in the response of C and N dynamics to fertilizer N inputs. A long-term (11-yr) experiment on a clay loam Orthic Humic Gleysol at Ridgetown, Ontario, Canada was used to evaluate the impact of fertilizer N applications (in-season zero N (\u2212N) compared to (+N) 100 and 80\u00a0kg\u00a0N\u00a0ha-1\u00a0yr.-1 to corn (Zea mays L.) and wheat (Triticum aestivum L.), respectively) on soil attributes. The cropping systems consisted of continuous corn (CC), corn-soybean (Glycine max L.) (C-S) and corn-soybean-wheat (C-S-W) rotations using conventional moldboard plough and no-till systems. Soil was collected from the 0\u2013120\u00a0cm profile in 5, 10, and 20\u00a0cm increments and analyzed for SOC and TN. The effect and interaction of N fertilization on soil attributes was highly dependent on crop rotation and tillage system. The gain in SOC and TN contents due to +N fertilizer was greatest (up to 31 and 57\u00a0% relative to the -N control, respectively) in the 0\u201320\u00a0cm depth with the C-S-W rotation, and lowest under CC, which showed no N fertilizer effect. However, differences in SOC and TN were not confined to the surface 20\u00a0cm, as N fertilizer treatments significantly influenced the contents at 20\u201360 and 60\u2013120\u00a0cm in certain rotation and tillage systems; C-S-W was the most responsive to N fertilizer-induced SOC and TN gains. Using regression analysis, we found that higher SOC contents corresponded to lower variability in the 5-yr. mean corn yield, which suggests that the inclusion of winter wheat in a C-S rotation may have important implications for sustainable and resilient agroecosystems in humid, temperate climates.", "keywords": ["2. Zero hunger", "synthetic nitrogen fertilizer", "no-till", "soil organic matter", "Triticum aestivum", "0401 agriculture", " forestry", " and fisheries", "moldboard plow/plough conventional tillage", "04 agricultural and veterinary sciences", "15. Life on land", "continuous corn Zea mays", "winter wheat Triticum aestivum", "winter wheat"]}, "links": [{"href": "https://doi.org/10.1007/s11104-016-2986-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-016-2986-y", "name": "item", "description": "10.1007/s11104-016-2986-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-016-2986-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-07-18T00:00:00Z"}}, {"id": "10.1007/s11356-019-06540-w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:18Z", "type": "Journal Article", "created": "2019-10-23", "title": "Evaluating the performance of SALTMED model under alternate irrigation using saline and fresh water strategies to winter wheat in the North China Plain", "description": "The effective water management in the North China Plain (NCP) needs a tool to predict winter wheat production due to water quality. A large quantity of brackish water is stored underground in this region, and whether this water can be used properly in agriculture is becoming a crucial issue that is about to be resolved. The SALTMED model is a generic modeling tool for efficient irrigation management strategies, especially for cyclic use of saline and fresh water as well as different water qualities, and it still needs further investigation for alternate irrigation using saline and fresh water at different growth stages of winter wheat. Therefore, the aim of this investigation was to evaluate the performance of SALTMED model and simulate the production of winter wheat grown under different irrigation strategies. Irrigation strategies comprised rain-fed cultivation (NI), fresh and saline water irrigation (FS), saline and fresh water irrigation (SF), saline water irrigation (SS), and fresh water irrigation (FF). Three-year observed data were used for the validations of SALTMED model. The values of evaluation indices of relative error, RMSE, NRMSE, index of agreement (D-index), and R2 between simulated and observed grain yield were 6.8%, 0.8, 10.7, 0.9, and 0.9, respectively. The model results supported and matched the observed data and indicated similar differences among the irrigated and rain-fed treatments. It is concluded that the SALTMED model is able to predict grain yield of winter wheat and its productivity under the alternate irrigation using saline and fresh water and their interaction in the climate condition of the NCP", "keywords": ["0106 biological sciences", "2. Zero hunger", "China", "Agricultural Irrigation", "Fresh water", "Water productivity", "Rain", "Water", "Agriculture", "Fresh Water", "15. Life on land", "01 natural sciences", "6. Clean water", "Winter wheat", "Model - Saline water", "Biomass", "Seasons", "Grain yield", "Edible Grain", "Triticum"]}, "links": [{"href": "https://doi.org/10.1007/s11356-019-06540-w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11356-019-06540-w", "name": "item", "description": "10.1007/s11356-019-06540-w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11356-019-06540-w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-23T00:00:00Z"}}, {"id": "10.1016/j.agee.2010.08.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:35Z", "type": "Journal Article", "created": "2010-08-23", "title": "Effect Of Soil Warming And Rainfall Patterns On Soil N Cycling In Northern Europe", "description": "Abstract   With climate change northern Europe is expected to experience extreme increase in air temperatures, particularly during the winter months, influencing soil temperatures in these regions. Climate change is also projected to influence the rainfall amount, and its inter- and intra-annual variability. These changes may affect soil moisture regimes, soil water drainage, soil nitrogen (N) availability and N leaching to aquatic environment and N2O emissions to atmosphere. Thus it is important to study the effects of increased soil temperature and varying rainfall patterns on soil N cycling in arable land from temperate climates, which is a major source of N pollution. An open-field lysimeter study was carried out during 2008\u20132009 in Denmark on loamy sand soil (Typic Hapludult) with three factors: number of rainy days, rainfall amount and soil warming. Number of rainy days included the mean monthly rainy days for 1961\u20131990 as \u2018normal\u2019 and half the number of rainy days of former as \u2018reduced\u2019 treatments. Rainfall amount included mean monthly rainfall for 1961\u20131990 as \u2018present\u2019 and the projected change in mean monthly rainfall for 2071\u20132100 as \u2018future\u2019 treatments. Soil warming included increase in soil temperature by 5\u00a0\u00b0C at 0.1\u00a0m depth as \u2018heated\u2019 and non-heated as \u2018control\u2019 treatments. Automated mobile rain-out shelter and irrigation system, and insulated buried heating cables were used to impose the treatments.  Soil warming, compared with unheated control, advanced winter wheat crop development, and increased the above-ground biomass and N uptake only during vegetative stage, but shortened the total crop growing period by 12 days without reducing the total above-ground biomass. Rainfall amount and rainy days treatments increased the drainage, 46% and 10%, respectively, but did not have additive effect on the drainage. In contrast, soil warming increased crop evapotranspiration (18%) and reduced drainage (41%). The projected future rainfall amount increased NO3-N leaching (289%) compared with present rainfall amount. The study showed significant interaction between soil warming and rainfall amount (P", "keywords": ["Nitrate leaching", "Winter wheat", "2. Zero hunger", "Soil nitrogen", "BRIC", "13. Climate action", "Climate change", "Drainage", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "/dk/atira/pure/core/keywords/Bric", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2010.08.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2010.08.002", "name": "item", "description": "10.1016/j.agee.2010.08.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2010.08.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-10-15T00:00:00Z"}}, {"id": "10.1016/j.agwat.2020.106546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:47Z", "type": "Journal Article", "created": "2020-10-05", "title": "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco", "description": "Abstract   The main goal of this research was to evaluate the potential of the HYDRUS-1D numerical model for estimating the soil moisture (\u03b8) at different depths, actual crop evapotranspiration (ETa) and its components (crop transpiration, Ta and soil evaporation, Ea) as well as the deep percolation (DP) of irrigated winter wheat under different water managements in the semi-arid region of Tensift-basin (central Morocco). The HYDRUS-1D simulations were performed at daily time step during the two growing seasons: 2002/2003 and 2015/2016.  The model was firstly calibrated based on one field \u201cdenoted F1\u201d data during the 2002/2003 cropping season by using the Levenberg-Marquardt method implemented in HYDRUS-1D model for optimizing various parameters of Van Genuchten equation that provide the minimum difference between measured and simulated soil moisture at four layers of soil (0\u20135, 5\u201310, 10\u201320, 20\u201330, 30\u201350\u00a0cm). Afterwards, the model validation was done based on the data from four fields of wheat: two fields \u201cdenoted F2 and F3\u201d during the 2002/2003 and two other fields \u201cdenoted F4 and F5\u201d during the 2015/2016 cropping season. All fields were irrigated with flooding system except the field F5 where drip irrigation was undertaken. In-situ measurements of \u03b8 was carried out using Time Domain Reflectometry (TDR) and gravimetric method ETa was measured by the Eddy Covariance system Ta and Ea were monitored using a lysimeter in F5 field. The results showed that the HYDRUS-1D model simulates the \u03b8, ETa, Ta and Ea reasonably well.  Additionally, the evaluation of the irrigation system on DP losses was investigated by comparing the simulation results over flood (F4) and drip (F5) irrigated fields. It was found that about 56% and 20% of seasonal supplied water were lost by DP in F4 and F5 sites, respectively. Such unexpected high amount of DP taking place in F5 field is due to the improper use of the drip irrigation system.", "keywords": ["690", "2. Zero hunger", "0106 biological sciences", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0207 environmental engineering", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Eddy covariance", "02 engineering and technology", "15. Life on land", "deep percolation", "01 natural sciences", "6. Clean water", "winter wheat", "Winter wheat", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Deep percolation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Eddy Covariance", "HYDRUS-1D"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2020.106546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2020.106546", "name": "item", "description": "10.1016/j.agwat.2020.106546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2020.106546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "10.1016/j.fcr.2022.108579", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:26Z", "type": "Journal Article", "created": "2022-05-23", "title": "Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). The crop-water production function (CWPF) is widely used to quantitatively describe relationships between crop water deficit and yield, and evaluate the effects of different irrigation strategies in agro-hydrological models. In order to reasonably and reliably estimate crop yield and optimize irrigation scheduling, a novel CWPF was proposed by combining the plant water deficit index (PWDI), estimated based on root-weighted soil water availability, with a daily water sensitivity index derived from a sigmoidal cumulative function. Parameterized using data from a two-year winter wheat field lysimetric experiment conducted in the North China Plain and from a previously published two-year spring maize field drip irrigation experiment in Inner Mongolia, China, the CWPFs provided reasonable estimation of different crop yields with different water stress response characteristics under different field environments. Through coupling the genetic algorithm with the integrated simulations of soil water dynamics, PWDI and CWPF in the soil-wheat system, an optimization procedure was developed to determine PWDI threshold combinations to timely trigger irrigation according to pre-designed crop water deficit status. Crop yield and water use efficiency (WUE) of winter wheat were estimated and compared under different optimized constant and variable PWDI threshold combinations. In addition, the effects of climate change on the optimized variable PWDI threshold combinations were investigated using 38 years of historic meteorological data. The results showed that regulated deficit irrigation (RDI) with a variable threshold combination, in which the sensitivity characteristics to water deficit were considered for the crop at different growth stages, was superior to a constant threshold in enhancing crop yield and WUE. Irrespective of the number of irrigation events (1, 2, 3 or 4) during the growing season, the coefficients of variation (CV) of optimized PWDI thresholds for different combinations of irrigation sequence and events were not very large under the same kind of hydrological year (wet, normal or dry), with CV < 0.39 and a median of 0.21. When the mean (MN) of the optimized PWDI threshold combinations for different irrigation sequence and events was used to schedule RDI of winter wheat in terms of various hydrological years, up to 91% of the estimated relative yield was found to be higher than 90% of the corresponding maximum values. Therefore, the MN can be valuable in formulating rational irrigation management strategies of winter wheat to achieve relatively high yields with limited water under changing climatic conditions. This research was supported partly by National Natural Science Foundation of China (U1706211, 51790532), National Key Research and Development Program of China (2017YFE0118100), and the European Union's Horizon 2020 research and innovation programme under Project SHui, grant agreement No 773903. Peer reviewed", "keywords": ["Winter wheat", "0106 biological sciences", "2. Zero hunger", "Root-weighted plant water deficit index", "13. Climate action", "Crop-water production function", "Cumulative function of water sensitivity index", "15. Life on land", "01 natural sciences", "Regulated deficit irrigation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.fcr.2022.108579"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.fcr.2022.108579", "name": "item", "description": "10.1016/j.fcr.2022.108579", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.fcr.2022.108579"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10.1016/j.jterra.2005.04.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:56Z", "type": "Journal Article", "created": "2005-07-06", "title": "Effects Of Tillage Systems On Compaction And Crop Yield Of Albic Luvisol In Croatia", "description": "This four -year experiment was conducted in north-west Slavonia to evaluate the effects of different tillage systems on compaction of silty loam soil (Albic Luvisol). The compared tillage systems were: (1) conventional tillage (CT), (2) conservation tillage (CM), (3) no-tillage (NT), and the crop rotation was corn-(Zea mays L.)- winter wheat (Triticum aestivum L.)-corn-winter wheat. For detecting the soil compaction, bulk density and penetration resistance were measured during the growing seasons. In all seasons and tillage systems, the bulk density and penetration resistance increased with depth and the greatest increase from surface to the deepest layer in average was observed at CT system. The bulk density and penetration resistance increased at all tillage systems during the experiment, but the greatest increase was also observed at CT system. The greatest bulk density (1.66 Mg m3) and the greatest increase of 6.4% were observed at CT system in the layer 30-35 cm. In the first season, the bulk density was the gratest at NT system, but during the experiment the lowest average increase of 1.9% was observed at this system. The greatest penetration resistance of all measurements (5.9 MPa) was observed in the last season at CT system in depth of 40 cm. The lowest average increase of penetration resistance 11.4% was also observed at NT system. The highest yield of corn in the first season was achieved with CT system while in the other seasons the highest yield of winter wheat and corn was achieved with CM system.", "keywords": ["Soil compaction. penetration resistance; tillage systems; silty loam; corn; winter wheat", "0106 biological sciences", "2. Zero hunger", "silty loam", "corn", "Soil compaction. penetration resistance", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "tillage systems", "01 natural sciences", "winter wheat"], "contacts": [{"organization": "Dubravko Filipovi\u0107, Zlatko Gospodari\u0107, Stjepan Husnjak, Silvio Ko\u0161uti\u0107,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.jterra.2005.04.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Terramechanics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jterra.2005.04.002", "name": "item", "description": "10.1016/j.jterra.2005.04.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jterra.2005.04.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-04-01T00:00:00Z"}}, {"id": "10.1016/j.proenv.2011.12.129", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:00Z", "type": "Journal Article", "created": "2012-01-09", "title": "Effects Of Tillage Managements On Soil Rapidly Available Nutrient Content And The Yield Of Winter Wheat In West Henan Province, China", "description": "AbstractIn order to study the effects of different tillage management on soil rapidly available nutrient content and the yield of winter wheat, four treatments of once deep plowing tillage (DT), no tillage (NT), subsoiling tillage (ST) and conventional tillage (CT) were conducted in field. The results showed that conservation tillage can improve soil nutrient content. Soil alkali-hydrolysis nitrogen, available phosphorus and potassium content were outstandingly advanced under ST and NT compared with CT, and the effect of ST was better than that of NT. In contrast to CT, available potassium content was evidently increased under DT treatment. Compared with CT, the grain yield of NT and ST was increased by 10.22% and 9.26% respectively.", "keywords": ["Winter wheat", "2. Zero hunger", "Tillage management", "Yield", "Dryland area", "Soil nutrient", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Youjunkdlyj@sina.com, Li, Ming, Huang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.proenv.2011.12.129"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Procedia%20Environmental%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.proenv.2011.12.129", "name": "item", "description": "10.1016/j.proenv.2011.12.129", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.proenv.2011.12.129"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-01-01T00:00:00Z"}}, {"id": "10.1016/j.rse.2020.112050", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:02Z", "type": "Journal Article", "created": "2020-08-24", "title": "Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas. Remote Sensing of Environment, 251, 112050.", "description": "Abstract   Radar data at C-band has shown great potential for the monitoring of soil and canopy hydric conditions of wheat crops. In this study, the C-band Sentinel-1 time series including the backscattering coefficients \u03c30 at VV and VH polarization, the polarization ratio (PR) and the interferometric coherence \u03c1 are first analyzed with the support of experimental data gathered on three plots of irrigated winter wheat located in the Haouz plain in the center of Morocco covering five growing seasons. The results showed that \u03c1 and PR are tightly related to the canopy development. \u03c1 is also sensitive to soil preparation. By contrast, \u03c30 was found to be widely linked to changes in surface soil moisture (SSM) during the first growth stages when Leaf Area Index remains moderate (", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "Interferometric coherence", "0211 other engineering and technologies", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "Surface soil moisture", "630", "Backscattering coefficient", "Winter wheat", "[SDE]Environmental Sciences", "Sentinel-1", "0401 agriculture", " forestry", " and fisheries", "Semi-arid region", "C-band"]}, "links": [{"href": "https://doi.org/10.1016/j.rse.2020.112050"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2020.112050", "name": "item", "description": "10.1016/j.rse.2020.112050", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2020.112050"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-01T00:00:00Z"}}, {"id": "10.1051/agro/2009024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:18:28Z", "type": "Journal Article", "created": "2009-11-24", "title": "Effect Of Tillage System And Straw Management On Organic Matter Dynamics", "description": "The choice of cultivation system in arable agriculture exerts a strong influence not only on soil health and crop productivity but also on the wider environment. Conservation tillage using non-inversion methods conserves soil carbon, reduces erosion risk and enhances soil quality. In addition, conservation tillage has been shown to sequester more carbon within the soil than inversion tillage, reducing carbon dioxide losses to the atmosphere. Stable, well structured topsoils that develop following long-term conservation tillage lead to more energy efficient systems due to the reduced power requirements for cultivation. Long-term experiments, e.g. more than 20 years, that confirm the impact of conservation tillage over an extended period are not common. Here we evaluate the impact of different tillage methods and winter wheat straw management, either incorporated or removed, on organic matter turnover and soil quality indicators. No-till, chisel and mouldboard ploughing was carried out for 23 years on a silty clay loam soil in South West England that was not considered suitable for non-inversion tillage due to weak soil structure. In order to assess the effect of contrasting cultivation and straw disposal method on soil carbon dynamics, a range of assays were conducted, including water extractable organic carbon, hot water extractable carbohydrate, microbial biomass carbon, activity of \u03b2-glucosidase and acid phosphatase enzymes, C sequestration and the natural abundance of 13 C. Our results show that the soil organic carbon concentration in the topsoil was greater under no-till than mouldboard ploughing, while a reverse trend was observed in the lower depths. A 14-17% increase in soil organic carbon was observed in the topsoil for chisel plough and no-till treatments compared to mouldboard ploughing. Water extractable organic carbon was found to constitute only 1-7% of the microbial biomass carbon. Hot water extractable carbohydrate was one of the most sensitive indicators of soil quality and had a significant a negative correlation with bulk density and positive correlation with soil organic carbon microbial biomass carbon \u03b2-glucosidase and acid phosphatase. The choice of cultivation method exerted a major control on microbial and carbon dynamics. No-till and chisel ploughing maintained carbon in the soil surface horizons, which will benefit the stability of this weakly structured soil, but mouldboard ploughing distributed carbon more uniformly throughout the soil profile, particularly when straw was incorporated, hence leading to the retention of more carbon in the soil profile.", "keywords": ["2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "13. Climate action", "tillage", "straw management", "0401 agriculture", " forestry", " and fisheries", "soil quality", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "6. Clean water", "winter wheat"], "contacts": [{"organization": "Hazarika, S., Parkinson, R., Bol, R., Dixon, E. R., Russell, P., Donovan, S., Allen, D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1051/agro/2009024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy%20for%20Sustainable%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1051/agro/2009024", "name": "item", "description": "10.1051/agro/2009024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1051/agro/2009024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-12-01T00:00:00Z"}}, {"id": "10.1111/sum.12083", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:50Z", "type": "Journal Article", "created": "2013-10-08", "title": "Cover Crop Growth And Impact On N Leaching As Affected By Pre- And Postharvest Sowing And Time Of Incorporation", "description": "Abstract<p>InNorthernEurope, cover crops are traditionally established before spring crops by undersowing, but some cover crops might also have an effect if preharvest sown before spring crops and even winter crops. The effects of cover crop sowing date, sowing technique and succeeding main crop on biomass production, N uptake, nitrate leaching and soil inorganic N were tested in lysimeters and in the field. Cruciferous cover crops (oil radish, white mustard) were sown preharvest by broadcasting into winter wheat in July and were allowed to grow until a following winter wheat was established in September. Other preharvest cover crops were left in place until late autumn. For comparison, the same cruciferous cover crops were established postharvest after light harrowing. Perennial ryegrass undersown in spring barley was also included. Aboveground N uptake in preharvest cover crops amounted to a maximum of 24\uffc2\uffa0kg\uffc2\uffa0N/ha in September before sowing winter wheat. When left until late autumn, preharvest oil radish took up a maximum of 66\uffc2\uffa0kg\uffc2\uffa0N/ha, and ryegrass and postharvest cover crops 35\uffc2\uffa0kg\uffc2\uffa0N/ha. Preharvest establishment of cruciferous cover crops before a spring\uffe2\uff80\uff90sown crop thus seems promising. The soil was depleted of inorganic N to the same extent in late autumn irrespective of cover crop type, sowing time and technique within winter wheat or spring barley. However, the reduction in nitrate leaching of preharvest cover crops incorporated after 2\uffc2\uffa0months and followed by winter wheat was only half of that achieved by cover crops left until late autumn or spring.</p>", "keywords": ["Nitrate leaching", "Winter wheat", "2. Zero hunger", "N uptake", "0401 agriculture", " forestry", " and fisheries", "Lysimeters", "04 agricultural and veterinary sciences", "15. Life on land", "7. Clean energy", "Spring barley"]}, "links": [{"href": "https://doi.org/10.1111/sum.12083"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/sum.12083", "name": "item", "description": "10.1111/sum.12083", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/sum.12083"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-09-16T00:00:00Z"}}, {"id": "10.3390/rs13040727", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:04Z", "type": "Journal Article", "created": "2021-02-17", "title": "On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas", "description": "<p>Over semi-arid agricultural areas, the surface energy balance and its components are largely dependent on the soil water availability. In such conditions, the land surface temperature (LST) retrieved from the thermal bands has been commonly used to represent the high spatial variability of the surface evaporative fraction and associated fluxes. In contrast, however, the soil moisture (SM) retrieved from microwave data has rarely been used thus far due to the unavailability of high-resolution (field scale) SM products until recent times. Soil evaporation is controlled by the surface SM. Moreover, the surface SM dynamics is temporally related to root zone SM, which provides information about the water status of plants. The aim of this work was to assess the gain in terms of flux estimates when integrating microwave-derived SM data in a thermal-based energy balance model at the field scale. In this study, SM products were derived from three different methodologies: the first approach inverts SM, labeled hereafter as \uffe2\uff80\uff98SMO20\uffe2\uff80\uff99, from the backscattering coefficient and the interferometric coherence derived from Sentinel-1 products in the water cloud model (WCM); the second approach inverts SM from Sentinel-1 and Sentinel-2 data based on machine learning algorithms trained on a synthetic dataset simulated by the WCM noted \uffe2\uff80\uff98SME16\uffe2\uff80\uff99; and the third approach disaggregates the soil moisture active and passive SM at 100 m resolution using Landsat optical/thermal data \uffe2\uff80\uff98SMO19\uffe2\uff80\uff99. These SM products, combined with the Landsat based vegetation index and LST, are integrated simultaneously within an energy balance model (TSEB-SM) to predict the latent (LE) and sensible (H) heat fluxes over two irrigated and rainfed wheat crop sites located in the Haouz Plain in the center of Morocco. H and LE were measured over each site using an eddy covariance system and their values were used to evaluate the potential of TSEB-SM against the classical two source energy balance (TSEB) model solely based on optical/thermal data. Globally, TSEB systematically overestimates LE (mean bias of 100 W/m2) and underestimates H (mean bias of \uffe2\uff88\uff92110 W/m2), while TSEB-SM significantly reduces those biases, regardless of the SM product used as input. This is linked to the parameterization of the Priestley Taylor coefficient, which is set to \uffce\uffb1PT = 1.26 by default in TSEB and adjusted across the season in TSEB-SM. The best performance of TSEB-SM was obtained over the irrigated field using the three retrieved SM products with a mean R2 of 0.72 and 0.92, and a mean RMSE of 31 and 36 W/m2 for LE and H, respectively. This opens up perspectives for applying the TSEB-SM model over extended irrigated agricultural areas to better predict the crop water needs at the field scale.</p>", "keywords": ["2. Zero hunger", "550", "Science", "Q", "0208 environmental biotechnology", "0207 environmental engineering", "TSEB-SM", "land surface temperature", "02 engineering and technology", "15. Life on land", "surface soil moisture", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "winter wheat", "13. Climate action", "semi-arid region", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "TSEB", "environment", "vegetation index"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/4/727/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/4/727/pdf"}, {"href": "https://doi.org/10.3390/rs13040727"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13040727", "name": "item", "description": "10.3390/rs13040727", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13040727"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-17T00:00:00Z"}}, {"id": "10.17221/200/2009-pse", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:39Z", "type": "Journal Article", "created": "2018-02-10", "title": "Mineral And Organic Fertilization Efficiency In Long-Term Stationary Experiments", "description": "In long-term stationary experiments under different soil-climatic conditions, an influence of mineral and organic fertilization on yield of winter wheat, spring barley and potato tubers was evaluated. Statistically significantly lowest grain yields of winter wheat (4.00 t/ha) and spring barley (2.81 t/ha) were obtained in non-fertilized plots at all experimental sites. In the case of potatoes, the lowest yield of dry matter (5.71 t/ha) was recorded in the control plot, but the result was not statistically significant. The manure-fertilized plot gave the average yield of wheat higher by 30%, of barley by 22%. Application of sewage sludge resulted in wheat yield higher by 41% and barley yield higher by 26% over control. On average, application of sewage sludge and manure increased the yield of potatoes by 30% over control. The highest yield was obtained after application of mineral fertilizers; average yield increased by 59, 50 and 36% in winter wheat, spring barley and potatoes, respectively. No statistically significant differences among the plots with mineral fertilizers were observed. At different sites, the yield of studied crops varied; however, the effect of fertilization on yield increments was similar at all experimental sites except for Lukavec. It is the site with the lowest natural soil fertility, and it showed the highest effect of the applied fertilizers.", "keywords": ["long-term field experiment", "2. Zero hunger", "0106 biological sciences", "sewage sludge", "mineral fertilizers", "Plant culture", "04 agricultural and veterinary sciences", "01 natural sciences", "spring barley", "6. Clean water", "winter wheat", "SB1-1110", "manure", "0401 agriculture", " forestry", " and fisheries", "potatoes"], "contacts": [{"organization": "V. Nedv\u011bd, Ji\u0159\u00ed Bal\u00edk, K. \u010c\u00e1sov\u00e1, J. \u010cern\u00fd, M. Kulh\u00e1nek,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.17221/200/2009-pse"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Soil%20and%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.17221/200/2009-pse", "name": "item", "description": "10.17221/200/2009-pse", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17221/200/2009-pse"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-01-31T00:00:00Z"}}, {"id": "10.3390/rs13142667", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:04Z", "type": "Journal Article", "created": "2021-07-07", "title": "Irrigation amounts and timing retrieval through data assimilation of surface soil moisture into the FAO-56 approach in the South Mediterranean region", "description": "<p>Agricultural water use represents more than 70% of the world\uffe2\uff80\uff99s freshwater through irrigation water inputs that are poorly known at the field scale. Irrigation monitoring is thus an important issue for optimizing water use in particular with regards to the water scarcity that the semi-arid regions are already facing. In this context, the aim of this study is to develop and evaluate a new approach to predict seasonal to daily irrigation timing and amounts at the field scale. The method is based on surface soil moisture (SSM) data assimilated into a simple land surface (FAO-56) model through a particle filter technique based on an ensemble of irrigation scenarios. The approach is implemented in three steps. First, synthetic experiments are designed to assess the impact of the frequency of observation, the errors on SSM and the a priori constraints on the irrigation scenarios for different irrigation techniques (flooding and drip). In a second step, the method is evaluated using in situ SSM measurements with different revisit times (3, 6 and 12 days) to mimic the available SSM product derived from remote sensing observation. Finally, SSM estimates from Sentinel-1 are used. Data are collected on different wheat fields grown in Morocco, for both flood and drip irrigation techniques in addition to rainfed fields used for an indirect evaluation of the method performance. Using in situ data, accurate results are obtained. With an observation every 6 days to mimic the Sentinel-1 revisit time, the seasonal amounts are retrieved with R &gt; 0.98, RMSE &lt; 32 mm and bias &lt; 2.5 mm. Likewise, a good agreement is observed at the daily scale for flood irrigation as more than 70% of the detected irrigation events have a time difference from actual irrigation events shorter than 4 days. Over the drip irrigated fields, the statistical metrics are R = 0.74, RMSE = 24.8 mm and bias = 2.3 mm for irrigation amounts cumulated over 15 days. When using SSM products derived from Sentinel-1 data, the statistical metrics on 15-day cumulated amounts slightly dropped to R = 0.64, RMSE = 28.7 mm and bias = 1.9 mm. The metrics on the seasonal amount retrievals are close to assimilating in situ observations with R = 0.99, RMSE = 33.5 mm and bias = \uffe2\uff88\uff9218.8 mm. Finally, among four rainfed seasons, only one false event was detected. This study opens perspectives for the regional retrieval of irrigation amounts and timing at the field scale and for mapping irrigated/non irrigated areas.</p>", "keywords": ["550", "Science", "particle filters", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "irrigation timing and amounts", "Irrigation Amounts and Timing Retrieval through Data Assimilation of Surface Soil Moisture irrigation timing and amounts", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "semi-arid Mediterranean region", "data assimilation", "0105 earth and related environmental sciences", "FAO-56", "2. Zero hunger", "Q", "15. Life on land", "surface soil moisture", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "winter wheat", "irrigation timing and amounts; surface soil moisture; data assimilation; particle filters; FAO-56; Sentinel-1; semi-arid Mediterranean region; winter wheat", "13. Climate action", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "ZONE MEDITERRANEENNE", "Sentinel-1", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/14/2667/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/14/2667/pdf"}, {"href": "https://doi.org/10.3390/rs13142667"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13142667", "name": "item", "description": "10.3390/rs13142667", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13142667"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.3389/fbuil.2023.1237476", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:38Z", "type": "Journal Article", "created": "2023-08-31", "title": "Comparing the environmental impact of poultry manure and chemical fertilizers", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>One of the challenges in livestock production is the significant volume of manure generated, which must be appropriately managed to mitigate its environmental impacts. Untreated manure poses a potential hazard to soil, surface water, groundwater, and human and animal health. Based on the life cycle assessment (LCA) method, the research aims to evaluate the ecological load of composted-pelletized poultry litter (CPPL) in maize and winter wheat production. Furthermore, the environmental loads of CPPL applications are compared with those of other N, P, and K fertilizers. The research study utilized the openLCA software with the Agribalyse 3.1 database to calculate eleven impact categories. In the case of maize, only ozone depletion has higher emissions. For winter wheat production, scenarios where the P fertilizer was MAP had lower impacts for NPK combinations. While for the CPPL, fuel was the main contributor to loads, for the NPK fertilizer scenarios, energy use for fertilizer production contributed more. The results can be relevant to the burdens of using different nutrient replacement products and creating diverse feed mixtures. The application of CPPL promises to reduce the burden of crop production and, consequently, feed production. Additionally, it allows for the recovery of manure not useable by the livestock industry.</p></article>", "keywords": ["2. Zero hunger", "0211 other engineering and technologies", "environmental impacts", "02 engineering and technology", "15. Life on land", "maize", "Engineering (General). Civil engineering (General)", "7. Clean energy", "winter wheat", "12. Responsible consumption", "life cycle assessment", "HT165.5-169.9", "13. Climate action", "composted-pelletized poultry litter", "0202 electrical engineering", " electronic engineering", " information engineering", "TA1-2040", "City planning", "chemical fertilizers"]}, "links": [{"href": "https://doi.org/10.3389/fbuil.2023.1237476"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Built%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fbuil.2023.1237476", "name": "item", "description": "10.3389/fbuil.2023.1237476", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fbuil.2023.1237476"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-31T00:00:00Z"}}, {"id": "10.3390/agronomy11050946", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:48Z", "type": "Journal Article", "created": "2021-05-11", "title": "Estimating Farm Wheat Yields from NDVI and Meteorological Data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Information on crop yield at scales ranging from the field to the global level is imperative for farmers and decision makers. The current data sources to monitor crop yield, such as regional agriculture statistics, are often lacking in spatial and temporal resolution. Remotely sensed vegetation indices (VIs) such as NDVI are able to assess crop yield using empirical modelling strategies. Empirical NDVI-based crop yield models were evaluated by comparing the model performance with similar models used in different regions. The integral NDVI and the peak NDVI were weak predictors of winter wheat yield in northern Belgium. Winter wheat (Triticum aestivum) yield variability was better predicted by monthly precipitation during tillering and anthesis than by NDVI-derived yield proxies in the period from 2016 to 2018 (R2 = 0.66). The NDVI series were not sensitive enough to yield affecting weather conditions during important phenological stages such as tillering and anthesis and were weak predictors in empirical crop yield models. In conclusion, winter wheat yield modelling using NDVI-derived yield proxies as predictor variables is dependent on the environment.</p></article>", "keywords": ["yield estimation", "PREDICTION", "NDVI", "Triticum aestivum", "0703 Crop and Pasture Production", "3002 Agriculture", " land and farm management", "3004 Crop and pasture production", "Belgium", "0502 Environmental Science and Management", "<i>Triticum aestivum</i>", "2. Zero hunger", "Science & Technology", "S", "Plant Sciences", "Agriculture", "weather impact", "04 agricultural and veterinary sciences", "WINTER-WHEAT", "15. Life on land", "Agronomy", "winter wheat", "MODEL", "RESOLUTION", "SENTINEL-2", "0401 agriculture", " forestry", " and fisheries", "LANDSAT 8", "Life Sciences & Biomedicine"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/5/946/pdf"}, {"href": "https://doi.org/10.3390/agronomy11050946"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11050946", "name": "item", "description": "10.3390/agronomy11050946", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11050946"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-11T00:00:00Z"}}, {"id": "10.3390/agronomy11122480", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:48Z", "type": "Journal Article", "created": "2021-12-07", "title": "Performance evaluation of the WOFOST model for estimating evapotranspiration, soil water content, grain yield and total above-ground biomass of winter wheat in Tensift Al Haouz (Morocco): Application to yield gap estimation", "description": "<p>The main goal of this investigation was to evaluate the potential of the WOFOST model for estimating leaf area index (LAI), actual evapotranspiration (ETa), soil moisture content (SM), above-ground biomass levels (TAGP) and grain yield (TWSO) of winter wheat in the semi-arid region of Tensift Al Haouz, Marrakech (central Morocco). An application for the estimation of the Yield Gap is also provided. The model was firstly calibrated based on three fields data during the 2002\uffe2\uff80\uff932003 and 2003\uffe2\uff80\uff932004 growing seasons, by using the WOFOST implementation in the Python Crop simulation Environment (PCSE) to optimize the different parameters that provide the minimum difference between the measured and simulated LAI, TAGP, TWSO, SM and ETa. Then, the model validation was performed based on the data from five other wheat fields. The results obtained showed a good performance of the WOFOST model for the estimation of LAI during both growing seasons on all validation fields. The average R2, RSME and NRMSE were 91.4%, 0.57 m2/m2, and 41.4%, respectively. The simulated ETa dynamics also showed a good agreement with the observations by eddy covariance systems. Values of 60% and 72% for R2, 0.8 mm and 0.7 mm for RMSE, 54% and 31% for NRMSE are found for the two validation fields, respectively. The model\uffe2\uff80\uff99s ability to predict soil moisture content was also found to be satisfactory; the two validation fields gave R2 values equal to 48% and 49%, RMSE values equal to 0.03 cm3/cm3 and 0.05 cm3/cm3, NRMSE values equal to 11% and 19%. The calibrated model had a medium performance with respect to the simulation of TWSO (R2 = 42%, RSME = 512 kg/ha, NRMSE = 19%) and TAGP (R2 = 34% and RSME = 936 kg/ha, NRMSE = 16%). After accurate calibration and validation of the WOFOST model, it was used for analyzing the gap yield since this model is able to estimate the potential yield. The WOFOST model allowed a good simulation of the potential yield (7.75 t/ha) which is close to the optimum value of 6.270 t/ha in the region. Yield gap analysis reveals a difference of 5.35 t/ha on average between the observed yields and the potential yields calculated by WOFOST. Such difference is ascribable to many factors such as the crop cycle management, agricultural practices such as water and fertilization supply levels, etc. The various simulations (irrigation scenarios) showed that early sowing is more adequate than late sowing in saving water and obtaining adequate grain yield. Based on various simulations, it has been shown that the early sowing (mid to late December) is more adequate than late sowing with a total amount of water supply of about 430 mm and 322 kg (140 kg of N, 80 kg of P and 102 kg of K) of fertilization to achieve the potential yield. Consequently, the WOFOST model can be considered as a suitable tool for quantitative monitoring of winter wheat growth in the arid and semi-arid regions.</p>", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "estimation", "550", "leaf area index", "S", "gap yield", "evapotranspiration", "Agriculture", "04 agricultural and veterinary sciences", "crop yield", "total biomass", "15. Life on land", "WOFOST", "630", "Tensift Morocco", "winter wheat", "crop modelling; WOFOST; Tensift Morocco; evapotranspiration; crop yield estimation; soil moisture; leaf area index; total biomass; winter wheat; gap yield", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "soil moisture", "crop modelling", "crop yield estimation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2480/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/12/2480/pdf"}, {"href": "https://doi.org/10.3390/agronomy11122480"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11122480", "name": "item", "description": "10.3390/agronomy11122480", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11122480"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-07T00:00:00Z"}}, {"id": "10.3390/agronomy7040066", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:49Z", "type": "Journal Article", "created": "2017-09-27", "description": "<p>A field study was conducted in northern France over two consecutive years to evaluate the combined effect of conventional tillage (CT) vs no till (NT) with or without cover crops (cc) and nitrogen (N) fertilization on various agronomic traits related to N use efficiency in winter wheat. Five years after conversion of CT to NT, significant increases in N use efficiency, N utilization efficiency, N agronomic efficiency, N partial factor productivity, N apparent recovery fraction and N remobilization were observed under three N fertilization regimes (0, 161, 215 kg ha\uffe2\uff88\uff921). It was also observed that grain yield and grain N content were similar under CT and NT. The N nutrition index was higher under NT at the three rates of N fertilization. Moreover, N use efficiency related traits were increased in the presence of cc both under NT and CT. Thus, agronomic practices based on continuous NT in the presence of cc, appear to be promising strategies to increase N use efficiency in wheat, while reducing both the use and the loss of N-based fertilizers.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering", "S", "[SDV]Life Sciences [q-bio]", "grain yield", "nitrogen application", "Agriculture", "04 agricultural and veterinary sciences", "[SDV.IDA] Life Sciences [q-bio]/Food engineering", "01 natural sciences", "630", "nitrogen use efficiency", "winter wheat", "[SDV] Life Sciences [q-bio]", "nitrogen use efficiency;tillage system;cover crops;nitrogen application;grain yield;winter wheat", "[SDV.IDA]Life Sciences [q-bio]/Food engineering", "[SDV.BV]Life Sciences [q-bio]/Vegetal Biology", "0401 agriculture", " forestry", " and fisheries", "[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering", "[SDV.BV] Life Sciences [q-bio]/Vegetal Biology", "nitrogen use efficiency; tillage system; cover crops; nitrogen application; grain yield; winter wheat", "cover crops", "nitrogen application ; nitrogen use efficiency ; tillage system ; winter wheat ; grain yield ; cover crops", "tillage system"], "contacts": [{"organization": "Habbib, Hazzar, Hirel, Bertrand, Verzeaux, Julien, Roger, David, Lacoux, J\u00e9r\u00f4me, Lea, Peter, Dubois, Fr\u00e9d\u00e9ric, T\u00e9tu, Thierry,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-4395/7/4/66/pdf"}, {"href": "https://doi.org/10.3390/agronomy7040066"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy7040066", "name": "item", "description": "10.3390/agronomy7040066", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy7040066"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-09-27T00:00:00Z"}}, {"id": "10.3390/w9020141", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:11Z", "type": "Journal Article", "created": "2017-02-22", "title": "Water Leakage And Nitrate Leaching Characteristics In The Winter Wheat-Summer Maize Rotation System In The North China Plain Under Different Irrigation And Fertilization Management Practices", "description": "<p>Field experiments were carried out in Huantai County from 2006 to 2008 to evaluate the effects of different nitrogen (N) fertilization and irrigation management practices on water leakage and nitrate leaching in the dominant wheat\uffe2\uff80\uff93maize rotation system in the North China Plain (NCP). Two N fertilization (NF1, the traditional one; NF2, fertilization based on soil testing) and two irrigation (IR1, the traditional one; IR2, irrigation based on real-time soil water content monitoring) management practices were designed in the experiments. Water and nitrate amounts leaving the soil layer at a depth of 2.0 m below the soil surface were calculated and compared. Results showed that the IR2 effectively reduced water leakage and nitrate leaching amounts in the two-year period, especially in the winter wheat season. Less than 10 percent irrigation water could be saved in a dry winter wheat season, but about 60 percent could be saved in a wet winter wheat season. Besides, 58.8 percent nitrate under single NF2IR1 and 85.2 percent under NF2IR2 could be prevented from leaching. The IR2 should be considered as the best management practice to save groundwater resources and prevent nitrate from leaching. The amounts of N input play a great role in affecting nitrate concentrations in the soil solutions in the winter wheat\uffe2\uff80\uff93summer maize rotation system. The NF2 significantly reduced N inputs and should be encouraged in ordinary agricultural production. Thus, nitrate leaching and groundwater contamination could be alleviated, but timely N supplement might be needed under high precipitation condition.</p>", "keywords": ["2. Zero hunger", "13. Climate action", "water leakage; nitrate leaching; maize; winter wheat; optimized nitrogen fertilization; optimized irrigation", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Shufeng Chen, Chengchun Sun, Changhong Sun, Wenliang Wu,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-4441/9/2/141/pdf"}, {"href": "https://doi.org/10.3390/w9020141"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w9020141", "name": "item", "description": "10.3390/w9020141", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w9020141"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-02-22T00:00:00Z"}}, {"id": "10.4141/cjss2013-093", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:21Z", "type": "Journal Article", "created": "2014-05-05", "description": "<p>Van Eerd, L. L., Congreves, K. A., Hayes, A., Verhallen, A. and Hooker, D. C. 2014. Long-term tillage and crop rotation effects on soil quality, organic carbon, and total nitrogen. Can. J. Soil Sci. 94: 303\uffe2\uff80\uff93315. Long-term studies allow for quantification of the effects of crop production practices, such as tillage and crop rotation, on soil quality and soil C and N stores. In two experiments at Ridgetown, ON, we evaluated the long-term (11 and 15 yr) effect of tillage system and crop rotation on soil quality via the Cornell Soil Health Assessment (CSHA) at 0\uffe2\uff80\uff9315 cm and soil organic C (SOC) and total N at 5-, 10-, and 20-cm increments to 120 cm depth. The CSHA soil quality score and SOC and total N were higher with no-till (NT) than fall moldboard plough with spring cultivation (conventional tillage, CT) and rotations with winter wheat [soybean\uffe2\uff80\uff93winter wheat (S-W) and soybean\uffe2\uff80\uff93winter wheat\uffe2\uff80\uff93corn (S-W-C)] compared with rotations without winter wheat. In both long-term trials, NT had ca. 21 Mg ha\uffe2\uff88\uff921more or 14% higher SOC than CT in the 0- to 100-cm soil profile, a trend which contrasts previous research in eastern Canada. Thus, the two long-term trial results at Ridgetown suggest that to improve soil quality and storage of C and N, growers on clay loam soil in southwestern Ontario should consider adopting NT production practices and including winter wheat in the rotation.</p>", "keywords": ["2. Zero hunger", "soybean-winter wheat-corn crop rotations", "Cornell Soil Health Assessment", "Ridgetown", "no-tillage", "0401 agriculture", " forestry", " and fisheries", "moldboard plow/plough tillage", "04 agricultural and veterinary sciences", "15. Life on land", "continuous corn", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.4141/cjss2013-093"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Canadian%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4141/cjss2013-093", "name": "item", "description": "10.4141/cjss2013-093", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4141/cjss2013-093"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-05-05T00:00:00Z"}}, {"id": "10.5281/zenodo.16895135", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:22Z", "type": "Journal Article", "created": "2023-08-31", "title": "Comparing the environmental impact of poultry manure and chemical fertilizers", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>One of the challenges in livestock production is the significant volume of manure generated, which must be appropriately managed to mitigate its environmental impacts. Untreated manure poses a potential hazard to soil, surface water, groundwater, and human and animal health. Based on the life cycle assessment (LCA) method, the research aims to evaluate the ecological load of composted-pelletized poultry litter (CPPL) in maize and winter wheat production. Furthermore, the environmental loads of CPPL applications are compared with those of other N, P, and K fertilizers. The research study utilized the openLCA software with the Agribalyse 3.1 database to calculate eleven impact categories. In the case of maize, only ozone depletion has higher emissions. For winter wheat production, scenarios where the P fertilizer was MAP had lower impacts for NPK combinations. While for the CPPL, fuel was the main contributor to loads, for the NPK fertilizer scenarios, energy use for fertilizer production contributed more. The results can be relevant to the burdens of using different nutrient replacement products and creating diverse feed mixtures. The application of CPPL promises to reduce the burden of crop production and, consequently, feed production. Additionally, it allows for the recovery of manure not useable by the livestock industry.</p></article>", "keywords": ["2. Zero hunger", "0211 other engineering and technologies", "environmental impacts", "02 engineering and technology", "15. Life on land", "maize", "Engineering (General). Civil engineering (General)", "7. Clean energy", "winter wheat", "12. Responsible consumption", "life cycle assessment", "HT165.5-169.9", "13. Climate action", "composted-pelletized poultry litter", "0202 electrical engineering", " electronic engineering", " information engineering", "TA1-2040", "City planning", "chemical fertilizers"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16895135"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Built%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16895135", "name": "item", "description": "10.5281/zenodo.16895135", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16895135"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-31T00:00:00Z"}}, {"id": "10.5281/zenodo.17475742", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:25Z", "type": "Dataset", "title": "In-situ and UAV dataset with crop and soil parameters obtained from winter wheat fields", "description": "unspecifiedThe study area was located in the Danubian Plain, Bulgaria, near the town of Knezha (43.495\u00b0N, 24.081\u00b0E). Five field campaigns (November, March, April, May, and June) were conducted during the 2016-2017 agricultural season and two (November and April) during the 2017-2018 agricultural season. Each campaign took four-five days to complete. A hierarchical sampling strategy, consisting of three levels, was adopted: Unit (a single commercial agricultural field), Elementary Sampling Unit (ESU; a 20 \u00d7 20 m plot), and Elementary Sub-Sampling Unit (ESSU; a particular location in the ESU where measurement is taken). Six Units were selected for sampling during each agricultural season. Different number of ESUs were sampled in each Unit depending of its size and diversity of soils. The location of the ESUs was kept unchanged during the season except in case relocation was needed due to waterlogging. The geographic coordinates were measured each time an ESU was visited, irrespective of whether it was relocated or not and a unique ID assigned to the ESU. Thus, data from each visit are presented as a separate independent record (row) in the dataset. In each ESU there were 3 ESSUs, one at the center and two at opposite corners of the ESU. The biological yield was measured only in the central ESSU. The dataset contains only data averaged at ESU level. Two unique identifiers, Unit_ID and ESU_ID, were used across the dataset's tables, helping identify data records and connect tables. The Unit_ID consists of the season and the Unit number, for instance \u201cS16-17_U1\u201d, where \u201cS16-17\u201d is the agricultural season 2016-2017, and \u201cU1\u201d is Unit 1. The ESU_ID consists of the month and year of the field campaign, the Unit number, and the ESU number, for instance \u201capr2017_1_2\u201d, where \u201capr2017\u201d is the April 2017 field campaign, \u201c1\u201d is the Unit number, and \u201c2\u201d is the ESU number.   The LAI, fIPAR, FAPAR, and fCover were measured using AccuPAR LP-80 ceptometer. The CC was measured using CCM-300. The AGB and plant nitrogen samples were collected from a 1 m x 1 m plot at the central ESSU and 50 cm x 50 cm plots in the other two ESSUs. The nitrogen (N) content of the above-ground organs was determined by the Kjeldahl method and expressed as per-cent of the dry weight. N uptake (g m-2) was determined as the product of N content and the dry AGB. Soil moisture content (W) was measured gravimetrically at the surface (0-5 cm) and, in some ESUs, at three additional depths (0-30 cm, 30-60 cm, and 60-100 cm) in 10 cm increments. The data were expressed in percent by mass. Reflectance data was collected using ASD FieldSpec 4 HiRes Field Spectrometer (ASD HH FS4 HiRes). Crop phenology was reported after Zadoks et al. (1974). The damages and weeds status were assessed using five-point rating scales.   The data from the four soil profiles included morphological description of soil horizons, texture (the particle-size distribution was determined by sieving and the pipette method in accordance with ISO 11277-2020), concentration of organic carbon, pH, bulk density, water retention at suctions from 0.25 kPa (pF 0.4) to 33 kPa (pF 2.7), total porosity. Soil water retention curves (pF curves) were obtained during the drainage of the samples by using the suction plate method, pressure membrane apparatus, and desiccators methods, as described in (Rousseva et al., 2017). The field capacity (FC) was estimated by the water content retained at a suction of 10 kPa (pF = 2.0). The wilting point was estimated at a suction 1500 kPa (pF = 4.2). The water retention experimental data at different suctions were approximated with the van Genuchten equation (Van Genuchten, 1980).  The crop calendar and management data included information for the studied winter wheat fields, including soil type, predecessor, pre-sowing preparation, variety, sowing date and norm, dates and type of fertilization, plant protection measures, dates of the main development stages of winter wheat, harvesting date and yield. \u00a0\u00a0  Multispectral image mosaics of the studied fields were generated using the fixed-wing drone eBee Ag furnished with Sequoia camera. The camera has Multi-channel sensor with green (550 nm), red (660 nm), red edge (735 nm), and NIR (790 nm) bands.  Meteorological data were collected by an automatic telemetric agro-meteorological station ADCON addVantage Pro6.5 installed in the vicinity of the town of Knezha. The station operated between 30.11.2016 and 22.03.2017 on its initial location (Location 1: 43.521917\u00b0N, 24.098848\u00b0E) and was later moved to another location, 1.3 km southwards (Location 2: 43.511391\u00b0N, 24.092252\u00b0E), where it collected data between 26.04.2017 and 3.12.2018. The station was equipped with sensors for air temperature, relative humidity, solar radiation, wind speed, wind direction, rain, PAR, soil moisture and temperature (12 depths between 5 cm and 115 cm at 10 cm intervals). Data from all sensors were recorded at 30 min intervals.  References:  Zadoks, J.C., T.T. Chang, C.F. Konzak. 1974. A decimal code of the growth stages of cereals. Weed Research, 14, 415-421.  Rousseva, S., Kercheva, M., Shishkov, T., Lair, G.J., Nikolaidis, N.P., Moraetis, D., Kr\u00e1m, P., Bernasconi, S.M., Blum, W.E.H., Menon, M., et al. 2017. Soil Water Characteristics of European SoilTrEC Critical Zone Observatories. In Advances in Agronomy; Academic Press: Cambridge, MA, USA, Volume 142, pp. 29\u201372.  van Genuchten, M. T., 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Am. J. 44, 892\u2013898.", "keywords": ["Winter wheat", "Chlorophyll", "Phenology", "UAV", "Yield (agricultural)", "Soil profile", "Biomass", "Remote sensing", "Spectroscopy", "LAI"], "contacts": [{"organization": "Dimitrov, Petar, Roumenina, Eugenia, Jelev, Georgi, Filchev, Lachezar, Gikov, Alexander, Kamenova, Ilina, Ilieva, Iliana, Ganeva, Dessislava, Kercheva, Milena, Banov, Martin, Krasteva, Veneta, Kolchakov, Viktor, Dimitrov, Emil, Miteva, Nevena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17475742"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17475742", "name": "item", "description": "10.5281/zenodo.17475742", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17475742"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-10-31T00:00:00Z"}}, {"id": "10.5281/zenodo.8245951", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:00Z", "type": "Dataset", "title": "Influence of small-scale spatial variability of soil properties on yield formation of winter wheat", "description": "This is a data set of soil properties and plant properties of winter wheat. The data derived from a long-term field trial for the year 2016 at the Asendorf field station 70 km north of Hanover, Germany (49 m above sea level, 52\u00b045\u203248.4\u2032\u2032N 9\u00b001\u203224.3\u2032\u2032E) and a field site in Triesdorf, located in Northern Bavaria (450 m a.s.l., 49\u00b012'36.5'N 10\u00b038'33.9'E). Data includes soil (OC, bulk density, texture, pH-value) and plant data (grain yield, thousand grain weight, tillers per m\u00b2, spikes per m\u00b2). All methods and data will be described in an upcoming journal article in the Journal Plant and Soil (DOI:10.1007/s111104-023-06212-2).", "keywords": ["2. Zero hunger", "soil organic carbon", "tillers per m\u00b2", "spikes per m\u00b2", "soil depths", "grain yield", "thousand grain weight", "soil texture", "15. Life on land", "winter wheat"], "contacts": [{"organization": "Gro\u00df, Jonas, Gentsch, Norman,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8245951"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8245951", "name": "item", "description": "10.5281/zenodo.8245951", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8245951"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10261/276613", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:56Z", "type": "Journal Article", "created": "2022-05-23", "title": "Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). The crop-water production function (CWPF) is widely used to quantitatively describe relationships between crop water deficit and yield, and evaluate the effects of different irrigation strategies in agro-hydrological models. In order to reasonably and reliably estimate crop yield and optimize irrigation scheduling, a novel CWPF was proposed by combining the plant water deficit index (PWDI), estimated based on root-weighted soil water availability, with a daily water sensitivity index derived from a sigmoidal cumulative function. Parameterized using data from a two-year winter wheat field lysimetric experiment conducted in the North China Plain and from a previously published two-year spring maize field drip irrigation experiment in Inner Mongolia, China, the CWPFs provided reasonable estimation of different crop yields with different water stress response characteristics under different field environments. Through coupling the genetic algorithm with the integrated simulations of soil water dynamics, PWDI and CWPF in the soil-wheat system, an optimization procedure was developed to determine PWDI threshold combinations to timely trigger irrigation according to pre-designed crop water deficit status. Crop yield and water use efficiency (WUE) of winter wheat were estimated and compared under different optimized constant and variable PWDI threshold combinations. In addition, the effects of climate change on the optimized variable PWDI threshold combinations were investigated using 38 years of historic meteorological data. The results showed that regulated deficit irrigation (RDI) with a variable threshold combination, in which the sensitivity characteristics to water deficit were considered for the crop at different growth stages, was superior to a constant threshold in enhancing crop yield and WUE. Irrespective of the number of irrigation events (1, 2, 3 or 4) during the growing season, the coefficients of variation (CV) of optimized PWDI thresholds for different combinations of irrigation sequence and events were not very large under the same kind of hydrological year (wet, normal or dry), with CV < 0.39 and a median of 0.21. When the mean (MN) of the optimized PWDI threshold combinations for different irrigation sequence and events was used to schedule RDI of winter wheat in terms of various hydrological years, up to 91% of the estimated relative yield was found to be higher than 90% of the corresponding maximum values. Therefore, the MN can be valuable in formulating rational irrigation management strategies of winter wheat to achieve relatively high yields with limited water under changing climatic conditions. This research was supported partly by National Natural Science Foundation of China (U1706211, 51790532), National Key Research and Development Program of China (2017YFE0118100), and the European Union's Horizon 2020 research and innovation programme under Project SHui, grant agreement No 773903. Peer reviewed", "keywords": ["Winter wheat", "2. Zero hunger", "0106 biological sciences", "Root-weighted plant water deficit index", "13. Climate action", "Crop-water production function", "Cumulative function of water sensitivity index", "15. Life on land", "01 natural sciences", "Regulated deficit irrigation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10261/276613"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276613", "name": "item", "description": "10261/276613", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276613"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "141405c4-3308-4ef2-ac9c-75ea0172375d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[6.56, 47.77], [6.56, 51.57], [11.21, 51.57], [11.21, 47.77], [6.56, 47.77]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "winter wheat"}, {"id": "spring barley"}, {"id": "organic fertilizers"}, {"id": "ammonium"}, {"id": "nitrates"}, {"id": "protein quality"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata; Wheat"}, {"id": "barley"}, {"id": "organic agriculture"}, {"id": "Rhizosphere soil"}, {"id": "bulk soil"}, {"id": "microbial biomass"}, {"id": "microrespiration"}, {"id": "meta-barcode sequencing of bacterial community"}, {"id": "quantification of bacterial inoculant"}, {"id": "gluten"}, {"id": "HMW"}, {"id": "hordein"}, {"id": "ProteinZ"}, {"id": "bread quality"}, {"id": "grain storage protein"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - bread and beer's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - bread and beer and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - bread and beer and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - bread and beer and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-08-22", "type": "Dataset", "created": "2024-07-18", "language": "eng", "title": "Production of wheat and barley under reduced input in organic farming - QPCR for season I and II", "description": "QPCR data\n\nGeneral description see mother table: (https://doi.org/10.20387/bonares-vvg8-5wpb); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "winter wheat", "spring barley", "organic fertilizers", "ammonium", "nitrates", "protein quality", "opendata; Wheat", "barley", "organic agriculture", "Rhizosphere soil", "bulk soil", "microbial biomass", "microrespiration", "meta-barcode sequencing of bacterial community", "quantification of bacterial inoculant", "gluten", "HMW", "hordein", "ProteinZ", "bread quality", "grain storage protein", "Boden"], "contacts": [{"name": "Santiago Quiroga", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Santiago.Quiroga@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0001-1392-8241", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sylvia Schnell", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "sylvia.schnell@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3903-6089", "name_url": "", "description": "orcid", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Stefan Ratering", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Stefan.Ratering@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7572-6306", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Azin Rekowski", "organization": "University of Hohenheim", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "azin.ghabelrahmat@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0179-663X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Christian Z\u00f6rb", "organization": "University of Hohenheim", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Christian.zoerb@uni-hohenheim.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0000-5138", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sylvia Schnell", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sylvia.schnell@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3903-6089", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Justus-Liebig University Giessen;University of Hohenheim", "roles": ["contributor"]}], "title_alternate": "LTE: Part 2/5, table: QPCR for season I and II"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0e018dea-ab53-461f-b454-2eaaca8c7gmd:65c", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0e018dea-ab53-461f-b454-2eaaca8c765c", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "141405c4-3308-4ef2-ac9c-75ea0172375d", "name": "item", "description": "141405c4-3308-4ef2-ac9c-75ea0172375d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/141405c4-3308-4ef2-ac9c-75ea0172375d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-22T00:00:00Z"}}, {"id": "158fb92b-70b4-4dbf-9176-2ce4de69afc6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[6.12, 49.59], [6.12, 51.54], [8.49, 51.54], [8.49, 49.59], [6.12, 49.59]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "roots"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata; subsoil ameloration; compost addition; winter wheat cultivars; bulk soil"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - Soil3's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - Soil3 and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - Soil3 and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - Soil3 and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-09-25", "type": "Dataset", "created": "2024-08-01", "language": "eng", "title": "Bacterial and archaeal abundance in top and subsoil samples in a field trail with mechanical strip-wise subsoil loosening and addition of biocompost  - Codes", "description": "In German agricultural system, more than 50% of nutrient and water stocks are in the subsoil, but in more than 71% of agricultural fields, supplies are not accessible for the plants based on root-restricting soil layers. To allow the crops an easier access to deep soil layers a mechanical strip-wise subsoil loosing with the addition of biocompost (DLB treatment) was established in frame of Soil3 project (for further details: Schmittmann et al. 2021). In this study, the influence of subsoil management on microbial community composition was investigated 2020 in a field trail in Klein-Altendorf (Bonn), using the three different winter wheat genotypes Milaneco, Capo and Trebelir. Thereby, exhibit the genotypes Milaneco and Capo a more deep-rooting and the genotype Trebelir a shallower rooting system. We postulate, that (i) the absolute abundance of bacteria and archaea will be increased in DLB treatment plots. And we expected that (ii) that DLB treatment will create a shift in microbial community composition, especially in the subsoil layers. Soil and roots samples were taken from 0-30, 30-60 and 60-100 cm in June 2020, at flowering time of winter wheat, in three biological replicates. The soil type was classified as Haplic Luvisol (Hypereutric, Siltic) and is characterized by a silty clay loam texture with clay accumulation in the subsoil (between 45 and 95 cm soil depth). The copy numbers of the bacterial 16S rRNA gene and archaeal 16S rRNA gene was quantified by quantitative real-time PCR (qPCR). Subsequently, 16S amplicon sequencing was performed for all bulk soil and root samples and raw sequencing data is available at the sequencing read archive (SRA) under the BioProject PRJNA1129315 (SAMN42150195, SAMN42152877).  Our data indicate a slightly increase in bacteria in soil samples among all genotypes and soil depths, this trend is not so evident for abundance of archaea in soil samples. For root samples an increase in bacterial and archaeal abundance was only observed for the genotype Capo, especially for the depths 0-30 and 30-60 cm. Alpha diversity was increased in the deep-rooting genotypes in root samples. In soil samples only for the genotype Milaneco a strong increase in alpha diversity was observed, especially in the samples from 30-60 cm.  Furthermore, beta diversity for soil and root samples was only influenced by the different sampling depths but not by the genotype or the treatment. In addition, the shared ASVs representing the core microbiome, in soil and root samples, contain more shared ASVs between the genotypes per each depth in DLB treatment in comparison to control plots.  Codes of Soil3 genotypes\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "roots", "opendata; subsoil ameloration; compost addition; winter wheat cultivars; bulk soil", "Boden"], "contacts": [{"name": "Nora Bissinger", "organization": "Technische Universit\u00e4t M\u00fcnchen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Technische Universit\u00e4t M\u00fcnchen"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8224-5495", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Wulf Amelung", "organization": "Universit\u00e4t Bonn", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "wulf.amelung@uni-bonn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4920-4667", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Stefanie Schulz", "organization": "Helmholtz Zentrum M\u00fcnchen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "stefanie.schulz@helmholtz-munich.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-5520-8106", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Michael Schloter", "organization": "Helmholtz Zentrum M\u00fcnchen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "michael.schloter@helmholtz-munich.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-1671-1125", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Technische Universit\u00e4t M\u00fcnchen;Helmholtz Zentrum M\u00fcnchen", "roles": ["contributor"]}], "title_alternate": "LTE: Part 1/3, table: Codes"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=158fb92b-70b4-4dbf-9176-2ce4de69agmd:fc6", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/158fb92b-70b4-4dbf-9176-2ce4de69afc6", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "158fb92b-70b4-4dbf-9176-2ce4de69afc6", "name": "item", "description": "158fb92b-70b4-4dbf-9176-2ce4de69afc6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/158fb92b-70b4-4dbf-9176-2ce4de69afc6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-25T00:00:00Z"}}, {"id": "201491fe-6662-4a00-acb4-90faf60ada24", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.97, 47.27], [8.97, 50.57], [13.84, 50.57], [13.84, 47.27], [8.97, 47.27]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - rhizotraits's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - rhizotraits and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - rhizotraits and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - rhizotraits and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-02-14", "type": "Service", "created": "2024-01-29", "language": "eng", "title": "Web Map Service of the dataset 'CClimatic compound events in Bavarian counties between 1981 and 2021 during the development phases of maize and winter wheat'", "description": "This Web Map Service includes spatial information used by datasets 'CClimatic compound events in Bavarian counties between 1981 and 2021 during the development phases of maize and winter wheat'", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "crop yield", "maize", "winter wheat", "drought", "heat", "time series analysis", "Soil", "crop yield", "maize", "winter wheat", "drought", "heat", "time series analysis"], "contacts": [{"name": "Jakob Bogenreuther", "organization": "Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Jakob.Bogenreuther@uni-bayreuth.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8630-1554", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": null, "organization": "-", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "-"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Thomas Koellner", "organization": "Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Thomas.Koellner@uni-bayreuth.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-5022-027X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "crop yield"}, {"id": "maize"}, {"id": "winter wheat"}, {"id": "drought"}, {"id": "heat"}, {"id": "time series analysis"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "crop yield"}, {"id": "maize"}, {"id": "winter wheat"}, {"id": "drought"}, {"id": "heat"}, {"id": "time series analysis"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0227186b-ffc6-40f4-b8a7-846b658aa6a0", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/rhizo4bio/ID_4966_Bavarian_1981_2021_Geodata_Site/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "201491fe-6662-4a00-acb4-90faf60ada24", "name": "item", "description": "201491fe-6662-4a00-acb4-90faf60ada24", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/201491fe-6662-4a00-acb4-90faf60ada24"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-14T00:00:00Z"}}, {"id": "21ca14b0-e57a-4622-90ad-98023569c6e6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.19, 47.64], [11.19, 48.93], [13.19, 48.93], [13.19, 47.64], [11.19, 47.64]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "winter wheat"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "High carbon amendment"}, {"id": "soil microbiome"}, {"id": "oilseed rape"}, {"id": "crop rotation"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - Inplamint's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - Inplamint and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - Inplamint and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - Inplamint and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-09-30", "type": "Dataset", "created": "2024-08-01", "language": "eng", "title": "Cmic, Nmic, bacteria and archaeal abundance in topsoil samples in a 12-months field trial in D\u00fcrnast, Freising in 2022/2023. - Codes", "description": "In cropping systems, when winter cereals follow N-rich crops like oilseed rape the risk of N losses in autumn is high. To reduce the N losses in these cropping systems, implementation of high carbon amendments (HCA) is used. In this study, we investigate potential shifts in microbial abundance and community composition though HCA implementation in a 12- months field trail in an oilseed rape \u2013 winter wheat cropping system. We postulate that (i) bacterial and archaeal absolute abundance increase in HCA implemented plots. And we expected (ii) that changes in nutrient stoichiometry caused by the HCA implementation promotes the establishment of bacteria able to degrade complex C sources, such as Firmicutes and Acidobacteria and overall cause shifts in the microbial community composition to an increased number of taxa which are described with a copiotrophic lifestyle. A field-experiment in D\u00fcrnast (Germany) with a silty-loam soil was performed. Wheat straw was incorporated directly after harvest of oilseed rape in August 2022 and soil samples were collected from 0-10 cm after 6 (February 2023), 9 (May 2023), 11 (July 2023) and 12 (August 2023) months after implementation. We determined microbial carbon and microbial nitrogen contents by executing chloroform-fumigation and afterwards extracting the soil with 0.01 M CaCl2 solution. The copy numbers of the bacterial 16S rRNA gene and archaeal 16S rRNA gene by quantitative real-time PCR (qPCR) was quantified. Subsequently, 16S amplicon sequencing was performed for all samples and raw sequencing data is available at the sequencing read archive (SRA) under the BioProject ID PRJNA1128396 (SAMN42050636, SAMN42051589, SAMN42107788, SAMN42108963). Information of sequencing data is summarized in the excel file \u201csequencing Inplamint\u201d. Our data indicate a slightly increase in microbial abundance as well as in microbial carbon in HCA treatment. This increase was not observed for microbial nitrogen. Our data also suggests a stronger influence of microbial community composition though HCA implementation in late winter/ early based on the results of the differential abundance analysis. Furthermore, microbial community in HCA treatment was driven in all four sampling points by the bacterial families Chitinophagaceae and BIrii41 (phylum Myxococcota) and the bacterial genera Pirellula. Data on Codes\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "winter wheat", "opendata", "High carbon amendment", "soil microbiome", "oilseed rape", "crop rotation", "Boden"], "contacts": [{"name": "Nora Bissinger", "organization": "Technische Universit\u00e4t M\u00fcnchen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "nora.koeller@tum.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8224-5495", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Nicholas Br\u00fcggemann", "organization": "Forschungszentrum J\u00fclich", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "n.brueggemann@fz-juelich.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3851-2418", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hannah Anzenberger", "organization": "Technische Universit\u00e4t M\u00fcnchen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "hannah.kuecking@tum.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Stefanie Schulz", "organization": "Helmholtz Zentrum M\u00fcnchen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "stefanie.schulz@helmholtz-munich.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-5520-8106", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Michael Schloter", "organization": "Helmholtz Zentrum M\u00fcnchen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Michael.schloter@helmholtz-munich.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-1671-1125", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Technische Universit\u00e4t M\u00fcnchen;Helmholtz Zentrum M\u00fcnchen", "roles": ["contributor"]}], "title_alternate": "LTE: Part 1/3, table: Codes"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=21ca14b0-e57a-4622-90ad-98023569cgmd:6e6", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21ca14b0-e57a-4622-90ad-98023569c6e6", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21ca14b0-e57a-4622-90ad-98023569c6e6", "name": "item", "description": "21ca14b0-e57a-4622-90ad-98023569c6e6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21ca14b0-e57a-4622-90ad-98023569c6e6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-30T00:00:00Z"}}, {"id": "28e0bb46-5212-48e9-ba63-00c8b4cffb94", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.87, 47.27], [5.87, 55.06], [15.04, 55.06], [15.04, 47.27], [5.87, 47.27]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-01-20", "type": "Service", "created": "2022-06-24", "language": "eng", "title": "WMS Service of the dataset 'Long-term crop yields, cultivation areas and total arable land in Germany at NUTS 3 level'", "description": "This AGIS Map Service includes spatial information used by datasets 'AGIS Map Service of the dataset 'Long-term crop yields, cultivation areas and total arable land in Germany at NUTS 3 level''", "keywords": ["infoMapAccessService", "crop yield", "cultivation", "winter wheat", "Germany", "arable land", "winter barley", "rapeseed", "maize", "farm area", "agricultural statistics"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Lidia V\u00f6lker", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "lvoelker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Ellen H. Ahrends", "organization": "University of Helsinki", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ellen.ahrends@helsinki.fi"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7790-847X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["researcher"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Lidia V\u00f6lker", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "lvoelker@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Ellen H. Ahrends", "organization": "University of Helsinki", "position": null, "roles": ["editor"], "phones": [{"value": null}], "emails": [{"value": "ellen.ahrends@helsinki.fi"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "University of Helsinki;Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "crop yield"}, {"id": "cultivation"}, {"id": "winter wheat"}, {"id": "Germany"}, {"id": "arable land"}, {"id": "winter barley"}, {"id": "rapeseed"}, {"id": "maize"}, {"id": "farm area"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "agricultural statistics"}], "scheme": "Individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=28e0bb46-5212-48e9-ba63-00c8b4cffb94", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/NUTS3_Germany/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/NUTS3_Germany/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/NUTS3_Germany/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/NUTS3_Germany/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "28e0bb46-5212-48e9-ba63-00c8b4cffb94", "name": "item", "description": "28e0bb46-5212-48e9-ba63-00c8b4cffb94", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/28e0bb46-5212-48e9-ba63-00c8b4cffb94"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-20T00:00:00Z"}}, {"id": "2981757634", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:25Z", "type": "Journal Article", "created": "2019-10-23", "title": "Evaluating the performance of SALTMED model under alternate irrigation using saline and fresh water strategies to winter wheat in the North China Plain", "description": "The effective water management in the North China Plain (NCP) needs a tool to predict winter wheat production due to water quality. A large quantity of brackish water is stored underground in this region, and whether this water can be used properly in agriculture is becoming a crucial issue that is about to be resolved. The SALTMED model is a generic modeling tool for efficient irrigation management strategies, especially for cyclic use of saline and fresh water as well as different water qualities, and it still needs further investigation for alternate irrigation using saline and fresh water at different growth stages of winter wheat. Therefore, the aim of this investigation was to evaluate the performance of SALTMED model and simulate the production of winter wheat grown under different irrigation strategies. Irrigation strategies comprised rain-fed cultivation (NI), fresh and saline water irrigation (FS), saline and fresh water irrigation (SF), saline water irrigation (SS), and fresh water irrigation (FF). Three-year observed data were used for the validations of SALTMED model. The values of evaluation indices of relative error, RMSE, NRMSE, index of agreement (D-index), and R2 between simulated and observed grain yield were 6.8%, 0.8, 10.7, 0.9, and 0.9, respectively. The model results supported and matched the observed data and indicated similar differences among the irrigated and rain-fed treatments. It is concluded that the SALTMED model is able to predict grain yield of winter wheat and its productivity under the alternate irrigation using saline and fresh water and their interaction in the climate condition of the NCP", "keywords": ["2. Zero hunger", "0106 biological sciences", "China", "Agricultural Irrigation", "Fresh water", "Water productivity", "Rain", "Water", "Agriculture", "Fresh Water", "15. Life on land", "01 natural sciences", "6. Clean water", "Winter wheat", "Model - Saline water", "Biomass", "Seasons", "Grain yield", "Edible Grain", "Triticum"]}, "links": [{"href": "https://doi.org/2981757634"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2981757634", "name": "item", "description": "2981757634", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2981757634"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-23T00:00:00Z"}}, {"id": "2d6256eb-e9ab-414d-9720-ecad88a405dd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.82, 47.4], [5.82, 54.87], [15.01, 54.87], [15.01, 47.4], [5.82, 47.4]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre (www.bonares.de). This data set was created within the DFG funded project \u201cMetadata analysis for the productivity development of crop plants\u201d (Grant number: Stu 127/19-3) at the Institute of Horticultural Production Systems of the Faculty of Natural Sciences at the Leibniz Universit\u00e4t Hanover (LUH)\u201d. Although every care has been taken in preparing and testing the data, LUH and BonaRes Data Centre cannot guarantee that the data are correct; neither does LUH and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The LUH and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner/author.)", "updated": "2021-03-02", "type": "Service", "created": "2018-03-26", "language": "eng", "title": "WMS Service of the dataset 'Meta-dataset of winter wheat yields from N-fertilization experiments in Germany between 1958 and 2015'", "description": "This WMS Service includes spatial information used by datasets 'WMS Service of the dataset 'Meta-dataset of winter wheat yields from N-fertilization experiments in Germany between 1958 and 2015''", "keywords": ["infoMapAccessService", "time study", "Data analysis", "data collection", "metadata", "Yields", "site factors", "Winter wheat", "Fertilization", "data collection", "climatic data", "metadata", "Field experimentation"], "contacts": [{"name": "Eric B\u00f6necke", "organization": "Leibniz University Hannover (LUH)", "position": "Scientific employee", "roles": ["author"], "phones": [{"value": "+49 511 762-19269"}], "emails": [{"value": "boenecke@gem.uni-hannover.de"}], "addresses": [{"deliveryPoint": ["Herrenh\u00e4user Strasse 2"], "city": "Hannover", "administrativeArea": "Lower Saxony", "postalCode": "30419", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Laura Breitsameter", "organization": "Leibniz University Hannover (LUH)", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "breitsameter@gem.uni-hannover.de"}], "addresses": [{"deliveryPoint": ["Herrenh\u00e4user Strasse 2"], "city": "Hannover", "administrativeArea": "Lower Saxony", "postalCode": "30419", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Nicolas Br\u00fcggeman", "organization": "Research Centre Julich", "position": "Professor", "roles": ["projectMember"], "phones": [{"value": "+492461618643"}], "emails": [{"value": "n.brueggemann@fz-juelich.de"}], "addresses": [{"deliveryPoint": ["Wilhelm-Johnen-Stra\u00dfe"], "city": "Julich", "administrativeArea": "North Rhine-Westphalia", "postalCode": "52428", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Till Feike", "organization": "Julius Kuehn-Institute", "position": "Scientific employee", "roles": ["projectMember"], "phones": [{"value": "+493320348312"}], "emails": [{"value": "til.feike@julius-kuehn.de"}], "addresses": [{"deliveryPoint": ["Stahnsdorfer Damm 81"], "city": "Kleinmachnow", "administrativeArea": "Brandenburg", "postalCode": "14532", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Henning Kage", "organization": "Christian-Albrechts-University Kiel", "position": "Professor", "roles": ["projectMember"], "phones": [{"value": "+494318803472"}], "emails": [{"value": "kage@pflanzenbau.uni-kiel.de"}], "addresses": [{"deliveryPoint": ["Hermann-Rodewald-Str. 9"], "city": "Kiel", "administrativeArea": "Schleswig-Holstein", "postalCode": "24118", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Kurt-Christian Kersebaum", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": "Scientific employee", "roles": ["projectMember"], "phones": [{"value": "+493343282394"}], "emails": [{"value": "ckersebaum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Stra\u00dfe 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Hartmut St\u00fctzel", "organization": "Leibniz University Hannover (LUH)", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+495117622635"}], "emails": [{"value": "st\u00fctzel@gem.uni-hannover.de"}], "addresses": [{"deliveryPoint": ["Herrenh\u00e4user Strasse 2"], "city": "Hannover", "administrativeArea": "Lower-Saxony", "postalCode": "30419", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz University Hannover (LUH)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "time study"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Data analysis"}, {"id": "data collection"}, {"id": "metadata"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Yields"}, {"id": "site factors"}, {"id": "Winter wheat"}, {"id": "Fertilization"}, {"id": "data collection"}, {"id": "climatic data"}, {"id": "metadata"}, {"id": "Field experimentation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=2d6256eb-e9ab-414d-9720-ecad88a405dd", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Extern/EXTERN_ID_E001_WWDB_BOENECKE_ACCDB_WWDB_PROD/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Extern/EXTERN_ID_E001_WWDB_BOENECKE_ACCDB_WWDB_PROD/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Extern/EXTERN_ID_E001_WWDB_BOENECKE_ACCDB_WWDB_PROD/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Extern/EXTERN_ID_E001_WWDB_BOENECKE_ACCDB_WWDB_PROD/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "2d6256eb-e9ab-414d-9720-ecad88a405dd", "name": "item", "description": "2d6256eb-e9ab-414d-9720-ecad88a405dd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2d6256eb-e9ab-414d-9720-ecad88a405dd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1958-01-01T00:00:00Z", "2015-12-31T00:00:00Z"]}}, {"id": "3091208561", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:37Z", "type": "Journal Article", "created": "2020-10-05", "title": "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco", "description": "Abstract   The main goal of this research was to evaluate the potential of the HYDRUS-1D numerical model for estimating the soil moisture (\u03b8) at different depths, actual crop evapotranspiration (ETa) and its components (crop transpiration, Ta and soil evaporation, Ea) as well as the deep percolation (DP) of irrigated winter wheat under different water managements in the semi-arid region of Tensift-basin (central Morocco). The HYDRUS-1D simulations were performed at daily time step during the two growing seasons: 2002/2003 and 2015/2016.  The model was firstly calibrated based on one field \u201cdenoted F1\u201d data during the 2002/2003 cropping season by using the Levenberg-Marquardt method implemented in HYDRUS-1D model for optimizing various parameters of Van Genuchten equation that provide the minimum difference between measured and simulated soil moisture at four layers of soil (0\u20135, 5\u201310, 10\u201320, 20\u201330, 30\u201350\u00a0cm). Afterwards, the model validation was done based on the data from four fields of wheat: two fields \u201cdenoted F2 and F3\u201d during the 2002/2003 and two other fields \u201cdenoted F4 and F5\u201d during the 2015/2016 cropping season. All fields were irrigated with flooding system except the field F5 where drip irrigation was undertaken. In-situ measurements of \u03b8 was carried out using Time Domain Reflectometry (TDR) and gravimetric method ETa was measured by the Eddy Covariance system Ta and Ea were monitored using a lysimeter in F5 field. The results showed that the HYDRUS-1D model simulates the \u03b8, ETa, Ta and Ea reasonably well.  Additionally, the evaluation of the irrigation system on DP losses was investigated by comparing the simulation results over flood (F4) and drip (F5) irrigated fields. It was found that about 56% and 20% of seasonal supplied water were lost by DP in F4 and F5 sites, respectively. Such unexpected high amount of DP taking place in F5 field is due to the improper use of the drip irrigation system.", "keywords": ["690", "0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0207 environmental engineering", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Eddy covariance", "02 engineering and technology", "15. Life on land", "deep percolation", "01 natural sciences", "6. Clean water", "winter wheat", "Winter wheat", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Deep percolation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Eddy Covariance", "HYDRUS-1D"]}, "links": [{"href": "https://doi.org/3091208561"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3091208561", "name": "item", "description": "3091208561", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3091208561"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "3161294357", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:44Z", "type": "Journal Article", "created": "2021-05-11", "title": "Estimating Farm Wheat Yields from NDVI and Meteorological Data", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Information on crop yield at scales ranging from the field to the global level is imperative for farmers and decision makers. The current data sources to monitor crop yield, such as regional agriculture statistics, are often lacking in spatial and temporal resolution. Remotely sensed vegetation indices (VIs) such as NDVI are able to assess crop yield using empirical modelling strategies. Empirical NDVI-based crop yield models were evaluated by comparing the model performance with similar models used in different regions. The integral NDVI and the peak NDVI were weak predictors of winter wheat yield in northern Belgium. Winter wheat (Triticum aestivum) yield variability was better predicted by monthly precipitation during tillering and anthesis than by NDVI-derived yield proxies in the period from 2016 to 2018 (R2 = 0.66). The NDVI series were not sensitive enough to yield affecting weather conditions during important phenological stages such as tillering and anthesis and were weak predictors in empirical crop yield models. In conclusion, winter wheat yield modelling using NDVI-derived yield proxies as predictor variables is dependent on the environment.</p></article>", "keywords": ["yield estimation", "PREDICTION", "NDVI", "Triticum aestivum", "0703 Crop and Pasture Production", "3002 Agriculture", " land and farm management", "3004 Crop and pasture production", "Belgium", "0502 Environmental Science and Management", "<i>Triticum aestivum</i>", "2. Zero hunger", "Science & Technology", "S", "Plant Sciences", "Agriculture", "weather impact", "04 agricultural and veterinary sciences", "WINTER-WHEAT", "15. Life on land", "Agronomy", "winter wheat", "MODEL", "RESOLUTION", "SENTINEL-2", "0401 agriculture", " forestry", " and fisheries", "LANDSAT 8", "Life Sciences & Biomedicine"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/5/946/pdf"}, {"href": "https://doi.org/3161294357"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3161294357", "name": "item", "description": "3161294357", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3161294357"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-11T00:00:00Z"}}, {"id": "31646419", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:44Z", "type": "Journal Article", "created": "2019-10-23", "title": "Evaluating the performance of SALTMED model under alternate irrigation using saline and fresh water strategies to winter wheat in the North China Plain", "description": "The effective water management in the North China Plain (NCP) needs a tool to predict winter wheat production due to water quality. A large quantity of brackish water is stored underground in this region, and whether this water can be used properly in agriculture is becoming a crucial issue that is about to be resolved. The SALTMED model is a generic modeling tool for efficient irrigation management strategies, especially for cyclic use of saline and fresh water as well as different water qualities, and it still needs further investigation for alternate irrigation using saline and fresh water at different growth stages of winter wheat. Therefore, the aim of this investigation was to evaluate the performance of SALTMED model and simulate the production of winter wheat grown under different irrigation strategies. Irrigation strategies comprised rain-fed cultivation (NI), fresh and saline water irrigation (FS), saline and fresh water irrigation (SF), saline water irrigation (SS), and fresh water irrigation (FF). Three-year observed data were used for the validations of SALTMED model. The values of evaluation indices of relative error, RMSE, NRMSE, index of agreement (D-index), and R2 between simulated and observed grain yield were 6.8%, 0.8, 10.7, 0.9, and 0.9, respectively. The model results supported and matched the observed data and indicated similar differences among the irrigated and rain-fed treatments. It is concluded that the SALTMED model is able to predict grain yield of winter wheat and its productivity under the alternate irrigation using saline and fresh water and their interaction in the climate condition of the NCP", "keywords": ["0106 biological sciences", "2. Zero hunger", "China", "Agricultural Irrigation", "Fresh water", "Water productivity", "Rain", "Water", "Agriculture", "Fresh Water", "15. Life on land", "01 natural sciences", "6. 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This data were created as part of BonaRes Module A-Project - INNOSOILPHOS's research activities. Although every care has been taken in preparing and testing the data, BonaRes Module A - Project - INNOSOILPHOS and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-INNOSOILPHOS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2021-03-03", "type": "Service", "created": "2017-10-19", "language": "eng", "title": "WMS Service of the dataset 'Long term effect of liming and P fertilizer application on yield and P uptake of spring wheat determined in 2015'", "description": "This WMS  Service includes spatial information used by datasets 'AGIS Map Service of the dataset 'Long term effect of liming and P fertilizer application on yield and P uptake of spring wheat determined in 2015''", "keywords": ["infoMapAccessService", "Phosphorus", "Phosphorus", "Phosphate fertilizers", "Liming", "Winter wheat", "Sugarbeet", "Spring wheat", "Barley", "maize", "Boden", "opendata"], "contacts": [{"name": "Dr. Sabine von Tucher", "organization": "Technische Universit\u00e4t M\u00fcnchen", "position": "Research associate", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "tucher@wzw.tum.de"}], "addresses": [{"deliveryPoint": ["Emil-Ramann-Stra\u00dfe 2"], "city": "Freising", "administrativeArea": "Bavaria", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "Prof. Dr. Urs Schmidhalter", "organization": "Technische Universit\u00e4t M\u00fcnchen", "position": "Head of Plant Nutrition", "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "schmidhalter@wzw.tum.de"}], "addresses": [{"deliveryPoint": ["Emil-Ramann-Stra\u00dfe 2"], "city": "Freising", "administrativeArea": "Bavaria", "postalCode": null, "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Technische Universit\u00e4t M\u00fcnchen", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Phosphorus"}, {"id": "Phosphorus"}, {"id": "Phosphate fertilizers"}, {"id": "Liming"}, {"id": "Winter wheat"}, {"id": "Sugarbeet"}, {"id": "Spring wheat"}, {"id": "Barley"}, {"id": "maize"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=80d38558-155f-45eb-98e1-c47591bd57ce", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/ID_4008_016_BEISPIELSDATENSATZ_OHNE_METADATEN_SV/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/ID_4008_016_BEISPIELSDATENSATZ_OHNE_METADATEN_SV/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/ID_4008_016_BEISPIELSDATENSATZ_OHNE_METADATEN_SV/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/ID_4008_016_BEISPIELSDATENSATZ_OHNE_METADATEN_SV/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "80d38558-155f-45eb-98e1-c47591bd57ce", "name": "item", "description": "80d38558-155f-45eb-98e1-c47591bd57ce", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/80d38558-155f-45eb-98e1-c47591bd57ce"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2015-01-01T00:00:00Z", "2015-12-31T00:00:00Z"]}}, {"id": "8f23ee30-8f84-481a-9a47-9eb6c65af3c4", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[10.63, 49.93], [10.63, 52.63], [14.22, 52.63], [14.22, 49.93], [10.63, 49.93]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "field size"}, {"id": "field shape"}, {"id": "plot design"}, {"id": "yields"}, {"id": "winter wheat"}, {"id": "spring barley"}, {"id": "sugar beet"}, {"id": "potatoes"}, {"id": "maize"}, {"id": "farmyard manure"}, {"id": "inorganic fertilizers"}, {"id": "inorganic nitrogen"}, {"id": "nitrogen content"}, {"id": "phosphorus content"}, {"id": "soil organic carbon"}, {"id": "total nitrogen"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Dauerfeldversuch"}, {"id": "Dauerversuch"}, {"id": "Langzeitfeldversuch"}, {"id": "Langzeitversuch"}, {"id": "Dauerd\u00fcngungsversuch"}, {"id": "Langzeitd\u00fcngungsversuch"}, {"id": "DFV"}, {"id": "DDV"}, {"id": "DV"}, {"id": "Long-Term Field Experiment"}, {"id": "Long-Term Experiment"}, {"id": "Long-Term Trial"}, {"id": "Long-Term Field Trial"}, {"id": "Long-Term Fertilizer Experiment"}, {"id": "Long-Term Soil Experiment"}, {"id": "LTFE LTE"}, {"id": "LTSE"}, {"id": "silage maize"}, {"id": "mineral fertilization"}, {"id": "potassium content"}], "scheme": "Individual"}, {"concepts": [{"id": "Langzeitversuch"}, {"id": "Landwirtschaft"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "agriculture"}, {"id": "Field experimentation"}, {"id": "Agricultural research"}, {"id": "Research methods"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Versuchsanlage"}], "scheme": "GEMET - Concepts, version 2.4"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2024-04-17", "type": "Dataset", "created": "2022-07-01", "language": "eng", "title": "LTE Bad Lauchstaedt: Extended Static Fertilization Experiment V120a", "description": "The Extended Static Fertilization Experiment Bad Lauchst\u00e4dt, is the only long-term experiment in which the effect of different organic and mineral fertilization can be investigated starting from an experimentally adjusted SOC content in the soil. After more than 40 years, this experiment is not yet in equilibrium and is therefore particularly useful for modeling the C and N dynamics in the soil.\nLand Use Type: Arable land\nResearch Theme: Interdisciplinary environmental research, yield, modeling\nLTE Category: Fertilization\nFarming Category: Conventional\n\nReference to data published externally: https://www.ufz.de/index.php?en=39226", "keywords": ["Soil", "field size", "field shape", "plot design", "yields", "winter wheat", "spring barley", "sugar beet", "potatoes", "maize", "farmyard manure", "inorganic fertilizers", "inorganic nitrogen", "nitrogen content", "phosphorus content", "soil organic carbon", "total nitrogen", "opendata", "Dauerfeldversuch", "Dauerversuch", "Langzeitfeldversuch", "Langzeitversuch", "Dauerd\u00fcngungsversuch", "Langzeitd\u00fcngungsversuch", "DFV", "DDV", "DV", "Long-Term Field Experiment", "Long-Term Experiment", "Long-Term Trial", "Long-Term Field Trial", "Long-Term Fertilizer Experiment", "Long-Term Soil Experiment", "LTFE LTE", "LTSE", "silage maize", "mineral fertilization", "potassium content", "Langzeitversuch", "Landwirtschaft", "agriculture", "Field experimentation", "Agricultural research", "Research methods", "Boden", "Versuchsanlage"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Ines Merbach", "organization": "Helmholtz Centre for Environmental Research (UFZ), Research Station Bad Lauchst\u00e4dt", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ines.merbach@ufz.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4482-5437", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ines Merbach", "organization": "Helmholtz Centre for Environmental Research (UFZ), Research Station Bad Lauchst\u00e4dt", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "ines.merbach@ufz.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4482-5437", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Helmholtz Centre for Environmental Research (UFZ), Research Station Bad Lauchst\u00e4dt", "roles": ["contributor"]}]}, "links": [{"href": "https://www.ufz.de/index.php?en=39226", "rel": "information"}, {"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=8f23ee30-8f84-481a-9a47-9eb6c65af3c4", "rel": "information"}, {"rel": "self", "type": "application/geo+json", "title": "8f23ee30-8f84-481a-9a47-9eb6c65af3c4", "name": "item", "description": "8f23ee30-8f84-481a-9a47-9eb6c65af3c4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8f23ee30-8f84-481a-9a47-9eb6c65af3c4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1978-01-01T00:00:00Z"}}, {"id": "93a38c79-a4ae-48d9-92fd-ccf79fb689bf", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "microplastics"}, {"id": "winter wheat"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Multiple level; Plant-soil system; Soil properties; Global change factors"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - \u00b5Plastic's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - \u00b5Plastic and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - \u00b5Plastic and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - \u00b5Plastic and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-03-19", "type": "Dataset", "created": "2024-02-27", "language": "eng", "title": "effect of multiple microplastic on soil properties and plant performance in different agricultural soils", "description": "Soil is threatened by multiple global pressures. Soil degradation caused by global change factors (GCFs) can be observed worldwide. Multi-factor studies are still scant due to logistic challenges and research compartmentalization in global change biology. We particularly lack knowledge of how soil-plant systems respond to multiple, concurrently acting GCFs. Microplastic (MP) as an emerging contaminant, now is ubiquitously present in the environment. MP can influence soil structure and plant productivity, and it can also interact with other GCFs. For example, it can be a vector to carry and transport other pollutants or also be an adsorbent to reduce their mobility. MP is also a potential carbon resource. Here, we conducted an experiment to investigate the effects of an increasing number of GCFs on a soil-plant system, with GCF levels of 1, 2, 5, and 8 in the presence/absence of microplastic.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "microplastics", "winter wheat", "opendata", "Multiple level; Plant-soil system; Soil properties; Global change factors", "Boden"], "contacts": [{"name": "Hongyu Chen", "organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "hongyuc92@zedat.fu-berlin.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Matthias. C. Rillig", "organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "rillig@zedat.fu-berlin.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=93a38c79-a4ae-48d9-92fd-ccf79fb689bf", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Chen-Experimental photo1-Hongyu Chen.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "93a38c79-a4ae-48d9-92fd-ccf79fb689bf", "name": "item", "description": "93a38c79-a4ae-48d9-92fd-ccf79fb689bf", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/93a38c79-a4ae-48d9-92fd-ccf79fb689bf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-19T00:00:00Z"}}, {"id": "09769f37-4e01-46cd-9db3-5505c8ef97d7", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[6.42, 47.71], [6.42, 51.44], [11.07, 51.44], [11.07, 47.71], [6.42, 47.71]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "winter wheat"}, {"id": "spring barley"}, {"id": "organic fertilizers"}, {"id": "ammonium"}, {"id": "nitrates"}, {"id": "protein quality"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata; Wheat"}, {"id": "barley"}, {"id": "organic agriculture"}, {"id": "Rhizosphere soil"}, {"id": "bulk soil"}, {"id": "microbial biomass"}, {"id": "microrespiration"}, {"id": "meta-barcode sequencing of bacterial community"}, {"id": "quantification of bacterial inoculant"}, {"id": "gluten"}, {"id": "HMW"}, {"id": "hordein"}, {"id": "ProteinZ"}, {"id": "bread quality"}, {"id": "grain storage protein"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - bread and beer's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - bread and beer and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - bread and beer and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - bread and beer and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-08-22", "type": "Dataset", "created": "2024-07-18", "language": "eng", "title": "Production of wheat and barley under reduced input in organic farming - Spring Barley yield quality for season I and II", "description": "Spring Barley yield quality data\n\nGeneral description see mother table: (https://doi.org/10.20387/bonares-vvg8-5wpb); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "winter wheat", "spring barley", "organic fertilizers", "ammonium", "nitrates", "protein quality", "opendata; Wheat", "barley", "organic agriculture", "Rhizosphere soil", "bulk soil", "microbial biomass", "microrespiration", "meta-barcode sequencing of bacterial community", "quantification of bacterial inoculant", "gluten", "HMW", "hordein", "ProteinZ", "bread quality", "grain storage protein", "Boden"], "contacts": [{"name": "Santiago Quiroga", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Santiago.Quiroga@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0001-1392-8241", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sylvia Schnell", "organization": "Justus-Liebig University Giessen", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "sylvia.schnell@umwelt.uni-giessen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3903-6089", "name_url": "", "description": "orcid", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - Soil3's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - Soil3 and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - Soil3 and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - Soil3 and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-09-25", "type": "Dataset", "created": "2024-08-01", "language": "eng", "title": "Bacterial and archaeal abundance in top and subsoil samples in a field trail with mechanical strip-wise subsoil loosening and addition of biocompost  - Sequence", "description": "Data on Sequencing\n\nGeneral description see mother table: (158fb92b-70b4-4dbf-9176-2ce4de69afc6); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "roots", "opendata; subsoil ameloration; compost addition; winter wheat cultivars; bulk soil", "Boden"], "contacts": [{"name": "Nora Bissinger", "organization": "Technische Universit\u00e4t M\u00fcnchen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Technische Universit\u00e4t M\u00fcnchen"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8224-5495", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Wulf Amelung", "organization": "Universit\u00e4t Bonn", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "wulf.amelung@uni-bonn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4920-4667", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - Inplamint's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - Inplamint and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - Inplamint and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the research activities of the DFG funded project 'Data-Meta Analysis to assess the productivity development of cultivated plants'\"(Grant number: Stu 127/19-3) at the Institute of Horticultural Production Systems of the Faculty of Natural Sciences at the Leibniz Universit\u00e4t Hanover (LUH). Although every care has been taken in preparing and testing the data, the above mentioned project and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the above mentioned project and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The above mentioned project and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-12-14", "type": "Dataset", "created": "2020-01-28", "language": "eng", "title": "Variance Analysis Dataset - Yields N-level Environment", "description": "This table (Variance Analysis Dataset - Yields N-level Environment) is part of a larger file dataset that contains processed data and information used in the meta-analysis \u201cYield development of German winter wheat between 1958 and 2015\u201d of the Project \u201cData-Meta Analysis to assess the productivity development of cultivated plants\u201d funded by the DFG. This table contains the final data used for the variance analysis in this project and derived from the entire dataset, which comprises the following data:\n- Winter wheat (Triticum aestivum) yields and nitrogen application amounts from nitrogen fertilization experiments of variable duration (1-6 years) carried out at 43 locations across Germany and between 1958 and 2015 found in 34 different sources in the literature.\n- The derived maximum yields (Ymax) and optimal nitrogen amounts (Nopt) from the nitrogen experiments, function coefficients, and statistics.\n- Geographical information (latitude, longitude, altitude) and other site specific information of the experimental sites (soil type, soil yield potential, mean annual temperature, mean annual precipitation, mean annual climatic water balance, soil climate region, cultivation region).\n- Processed phenological and climatic data for each experimental site.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Winter wheat", 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the LTFE Rauischholzhausen's research activities.\" Although every care has been taken in preparing and testing the data, the LTFE Rauischholzhausen and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the LTFE Rauischholzhausen and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The LTFE Rauischholzhausen and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2022-03-10", "type": "Dataset", "created": "2021-01-14", "language": "eng", "title": "International long-term experiment (LTE) 'Organic and Mineral Nitrogen Fertilization Experiment' (IOSDV) - Table 'ERTRAG'", "description": "Child table of long-term field experiment 'Organic and Mineral Nitrogen Fertilization Experiment (IOSDV)'. This data set contains information about yield. 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