Suboptimal nitrogen availability is a primary constraint for crop production in low-input agroecosystems, while nitrogen fertilization is a primary contributor to the energy, economic, and environmental costs of crop production in high-input agroecosystems. In this article we consider avenues to develop crops with improved nitrogen capture and reduced requirement for nitrogen fertilizer.
ScopeIntraspecific variation for an array of root phenotypes has been associated with improved nitrogen capture in cereal crops, including architectural phenotypes that colocalize root foraging with nitrogen availability in the soil; anatomical phenotypes that reduce the metabolic costs of soil exploration, improve penetration of hard soil, and exploit the rhizosphere; subcellular phenotypes that reduce the nitrogen requirement of plant tissue; molecular phenotypes exhibiting optimized nitrate uptake kinetics; and rhizosphere phenotypes that optimize associations with the rhizosphere microbiome. For each of these topics we provide examples of root phenotypes which merit attention as potential selection targets for crop improvement. Several cross-cutting issues are addressed including the importance of soil hydrology and impedance, phenotypic plasticity, integrated phenotypes, in silico modeling, and breeding strategies using high throughput phenotyping for co-optimization of multiple phenes.
ConclusionsSubstantial phenotypic variation exists in crop germplasm for an array of root phenotypes that improve nitrogen capture. Although this topic merits greater research attention than it currently receives, we have adequate understanding and tools to develop crops with improved nitrogen capture. Root phenotypes are underutilized yet attractive breeding targets for the development of the nitrogen efficient crops urgently needed in global agriculture.
", "keywords": ["2. Zero hunger", "0106 biological sciences", "0301 basic medicine", "Plasticity", "Marschner Review", "Nitrogen", "Physiology", "Nitrogen; Root; Anatomy; Architecture; Soil; Crop breeding; Root phenotyping; Modeling; Rhizosphere; Plasticity; Physiology", "Modeling", "Root phenotyping", "15. Life on land", "01 natural sciences", "Soil", "03 medical and health sciences", "Root", "FOS: Biological sciences", "Architecture", "Rhizosphere", "Crop breeding", "Anatomy", "FOS: Civil engineering"]}, "links": [{"href": "https://doi.org/10.1007/s11104-023-06301-2"}, {"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/s11104-023-06301-2", "name": "item", "description": "10.1007/s11104-023-06301-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-023-06301-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-04T00:00:00Z"}}, {"id": "10.1016/j.envexpbot.2024.105986", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:15:35Z", "type": "Journal Article", "created": "2024-10-04", "title": "From landraces to haplotypes, exploiting a genomic and phenomic approach to identify heat tolerant genotypes within durum wheat landraces", "description": "Dry and hot climates severely impact wheat yields, necessitating the development of innovative solutions to accelerate the breeding and selection of more adaptable durum wheat genotypes. The aim of this study was to identify new wheat ecotypes that can bridge the gap between commercial varieties and adaptability to ongoing climate change. In this study, advanced genomic and phenomic techniques were combined to characterize a set of durum wheat landraces derived from single seed descent (SSD). This approach enabled the identification of novel variability in the TdHsp26-A1 and-B1 genes. As a result, 38 durum wheat genotypes were analyzed using targeted enrichment PCR, leading to the identification of 17 novel haplotype combinations with SNPs in the TdHsp26 genes. The response of these SSD haplotypes to heat stress was characterized at both the seedling and tillering growth stages. Phenotypic analysis of contrasting genotypes led to the selection of two distinct genotypes: SSD69 and SSD397. During heat stress, SSD69 exhibited altered accumulation of H2O2 2 O 2 and MDA content under both growth conditions, providing new insights into the oxidative response to heat stress. Additionally, this work identifies phenotypic traits that are suitable for detecting differences between variants. The geographic distribution of the different alleles aligned with the spread of durum wheat from its center of origin.", "keywords": ["Natural germplasm", "Phenotyping", "Settore AGRI-06/A - Genetica agraria", "Heat stre", "Durum wheat", " Natural germplasm", " sHsp26", " Heat stress", " Phenotyping", " SNPs", "Durum wheat", "sHsp26", "630", "SNPs"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/526470/1/From%20landraces%20to%20haplotypes%2c%20exploiting%20a%20genomic%20and%20phenomic%20approach%20to%20identify%20heat%20tolerant%20genotypes%20within%20durum%20wheat%20landraces.pdf"}, {"href": "https://doi.org/10.1016/j.envexpbot.2024.105986"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20and%20Experimental%20Botany", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envexpbot.2024.105986", "name": "item", "description": "10.1016/j.envexpbot.2024.105986", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envexpbot.2024.105986"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "10.1093/jxb/erab174", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:17:16Z", "type": "Journal Article", "created": "2020-12-03", "title": "Digging roots is easier with AI", "description": "AbstractThe scale of root quantification in research is often limited by the time required for sampling, measurement and processing samples. Recent developments in Convolutional Neural Networks (CNN) have made faster and more accurate plant image analysis possible which may significantly reduce the time required for root measurement, but challenges remain in making these methods accessible to researchers without an in-depth knowledge of Machine Learning. We analyzed root images acquired from three destructive root samplings using the RootPainter CNN-software that features an interface for corrective annotation for easier use. Root scans with and without non-root debris were used to test if training a model, i.e., learning from labeled examples, can effectively exclude the debris by comparing the end-results with measurements from clean images. Root images acquired from soil profile walls and the cross-section of soil cores were also used for training and the derived measurements were compared with manual measurements. After 200 minutes of training on each dataset, significant relationships between manual measurements and RootPainter-derived data were noted for monolith (R2=0.99), profile wall (R2=0.76) and core-break (R2=0.57). The rooting density derived from images with debris was not significantly different from that derived from clean images after processing with RootPainter. Rooting density was also successfully calculated from both profile wall and soil core images, and in each case the gradient of root density with depth was not significantly different from manual counts. Our results demonstrate that the proposed approach using CNN can lead to substantial reductions in root sample processing workloads, increasing the potential scale of future root investigations.
", "keywords": ["0301 basic medicine", "root phenotyping", "profile wall", "root washing", "segmentation", "deep learning", "Convolutional neural network", "04 agricultural and veterinary sciences", "15. Life on land", "Soil", "03 medical and health sciences", "core-break", "monolith", "soil coring", "Image Processing", " Computer-Assisted", "0401 agriculture", " forestry", " and fisheries", "Neural Networks", " Computer", "Software"]}, "links": [{"href": "http://academic.oup.com/jxb/article-pdf/72/13/4680/38807872/erab174.pdf"}, {"href": "https://doi.org/10.1093/jxb/erab174"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Experimental%20Botany", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/jxb/erab174", "name": "item", "description": "10.1093/jxb/erab174", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/jxb/erab174"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-02T00:00:00Z"}}, {"id": "10.1101/688010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:17:24Z", "type": "Journal Article", "created": "2019-07-02", "title": "High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation", "description": "ABSTRACTBy developing a high-density murine immunophenotyping platform compatible with high-throughput genetic screening, we have established profound contributions of genetics and structure to immune variation. Specifically, high-throughput phenotyping of 530 knockout mouse lines identified 140 monogenic \uffe2\uff80\uff9chits\uffe2\uff80\uff9d (>25%), most of which had never hitherto been implicated in immunology. Furthermore, they were conspicuously enriched in genes for which humans show poor tolerance to loss-of-function. The immunophenotyping platform also exposed dense correlation networks linking immune parameters with one another and with specific physiologic traits. By limiting the freedom of individual immune parameters, such linkages impose genetically regulated \uffe2\uff80\uff9cimmunological structures\uffe2\uff80\uff9d, whose integrity was found to be associated with immunocompetence. Hence, our findings provide an expanded genetic resource and structural perspective for understanding and monitoring immune variation in health and disease.Suboptimal nitrogen availability is a primary constraint for crop production in low-input agroecosystems, while nitrogen fertilization is a primary contributor to the energy, economic, and environmental costs of crop production in high-input agroecosystems. In this article we consider avenues to develop crops with improved nitrogen capture and reduced requirement for nitrogen fertilizer.
ScopeIntraspecific variation for an array of root phenotypes has been associated with improved nitrogen capture in cereal crops, including architectural phenotypes that colocalize root foraging with nitrogen availability in the soil; anatomical phenotypes that reduce the metabolic costs of soil exploration, improve penetration of hard soil, and exploit the rhizosphere; subcellular phenotypes that reduce the nitrogen requirement of plant tissue; molecular phenotypes exhibiting optimized nitrate uptake kinetics; and rhizosphere phenotypes that optimize associations with the rhizosphere microbiome. For each of these topics we provide examples of root phenotypes which merit attention as potential selection targets for crop improvement. Several cross-cutting issues are addressed including the importance of soil hydrology and impedance, phenotypic plasticity, integrated phenotypes, in silico modeling, and breeding strategies using high throughput phenotyping for co-optimization of multiple phenes.
ConclusionsSubstantial phenotypic variation exists in crop germplasm for an array of root phenotypes that improve nitrogen capture. Although this topic merits greater research attention than it currently receives, we have adequate understanding and tools to develop crops with improved nitrogen capture. Root phenotypes are underutilized yet attractive breeding targets for the development of the nitrogen efficient crops urgently needed in global agriculture.
", "keywords": ["2. Zero hunger", "0106 biological sciences", "0301 basic medicine", "Plasticity", "Marschner Review", "Nitrogen", "Physiology", "Nitrogen; Root; Anatomy; Architecture; Soil; Crop breeding; Root phenotyping; Modeling; Rhizosphere; Plasticity; Physiology", "Modeling", "Root phenotyping", "15. Life on land", "01 natural sciences", "Soil", "03 medical and health sciences", "Root", "FOS: Biological sciences", "Architecture", "Rhizosphere", "Crop breeding", "Anatomy", "FOS: Civil engineering"]}, "links": [{"href": "https://doi.org/20.500.11850/636573"}, {"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": "20.500.11850/636573", "name": "item", "description": "20.500.11850/636573", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/636573"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-04T00:00:00Z"}}, {"id": "10.1111/nph.18387", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:17:54Z", "type": "Journal Article", "created": "2020-04-18", "title": "RootPainter: deep learning segmentation of biological images with corrective annotation", "description": "We present RootPainter, a GUI-based software tool for the rapid training of deep neural networks for use in biological image analysis. RootPainter facilitates both fully-automatic and semi-automatic image segmentation. We investigate the effectiveness of RootPainter using three plant image datasets, evaluating its potential for root length extraction from chicory roots in soil, biopore counting and root nodule counting from scanned roots. We also use RootPainter to compare dense annotations to corrective ones which are added during the training based on the weaknesses of the current model.
", "keywords": ["Buildings and machinery", "0301 basic medicine", "phenotyping", "root nodule", "biopore", "interactive machine learning", "Research", "segmentation", "deep learning", "rhizotron", "Breeding and genetics", "Machine Learning", "Soil", "03 medical and health sciences", "Deep Learning", "GUI", "Farm nutrient management", "Image Processing", " Computer-Assisted", "Neural Networks", " Computer"]}, "links": [{"href": "https://www.biorxiv.org/content/10.1101/2020.04.16.044461v1.full.pdf"}, {"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.18387"}, {"href": "https://doi.org/10.1111/nph.18387"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.18387", "name": "item", "description": "10.1111/nph.18387", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.18387"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-18T00:00:00Z"}}, {"id": "10.3389/fpls.2021.608967", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:19:17Z", "type": "Journal Article", "created": "2021-03-10", "title": "Remote Sensing Energy Balance Model for the Assessment of Crop Evapotranspiration and Water Status in an Almond Rootstock Collection", "description": "One of the objectives of many studies conducted by breeding programs is to characterize and select rootstocks well-adapted to drought conditions. In recent years, field high-throughput phenotyping methods have been developed to characterize plant traits and to identify the most water use efficient varieties and rootstocks. However, none of these studies have been able to quantify the behavior of crop evapotranspiration in almond rootstocks under different water regimes. In this study, remote sensing phenotyping methods were used to assess the evapotranspiration of almond cv. \uffe2\uff80\uff9cMarinada\uffe2\uff80\uff9d grafted onto a rootstock collection. In particular, the two-source energy balance and Shuttleworth and Wallace models were used to, respectively, estimate the actual and potential evapotranspiration of almonds grafted onto 10 rootstock under three different irrigation treatments. For this purpose, three flights were conducted during the 2018 and 2019 growing seasons with an aircraft equipped with a thermal and multispectral camera. Stem water potential (\uffce\uffa8stem) was also measured concomitant to image acquisition. Biophysical traits of the vegetation were firstly assessed through photogrammetry techniques, spectral vegetation indices and the radiative transfer model PROSAIL. The estimates of canopy height, leaf area index and daily fraction of intercepted radiation had root mean square errors of 0.57 m, 0.24 m m\uffe2\uff80\uff931 and 0.07%, respectively. Findings of this study showed significant differences between rootstocks in all of the evaluated parameters. Cadaman\uffc2\uffae and Garnem\uffc2\uffae had the highest canopy vigor traits, evapotranspiration, \uffce\uffa8stem and kernel yield. In contrast, Rootpac\uffc2\uffae 20 and Rootpac\uffc2\uffae R had the lowest values of the same parameters, suggesting that this was due to an incompatibility between plum-almond species or to a lower water absorption capability of the rooting system. Among the rootstocks with medium canopy vigor, Adesoto and IRTA 1 had a lower evapotranspiration than Rootpac\uffc2\uffae 40 and Ishtara\uffc2\uffae. Water productivity (WP) (kg kernel/mm water evapotranspired) tended to decrease with \uffce\uffa8stem, mainly in 2018. Cadaman\uffc2\uffae and Garnem\uffc2\uffae had the highest WP, followed by INRA GF-677, IRTA 1, IRTA 2, and Rootpac\uffc2\uffae 40. Despite the low \uffce\uffa8stem of Rootpac\uffc2\uffae R, the WP of this rootstock was also high.
", "keywords": ["stem water potential", "2. Zero hunger", "Plant culture", "field phenotyping", "633", "Plant Science", "04 agricultural and veterinary sciences", "15. Life on land", "TSEB model", "6. Clean water", "thermal", "SB1-1110", "631", "crown area", "water productivity", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2021.608967"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2021.608967", "name": "item", "description": "10.3389/fpls.2021.608967", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2021.608967"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-10T00:00:00Z"}}, {"id": "10.3389/fpls.2021.782072", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:19:18Z", "type": "Journal Article", "created": "2021-12-20", "title": "Phenotyping of Different Italian Durum Wheat Varieties in Early Growth Stage With the Addition of Pure or Digestate-Activated Biochars", "description": "This study aims to highlight the major effects of biochar incorporation into potting soil substrate on plant growth and performance in early growth stages of five elite Italian varieties of durum wheat (Triticum durum). The biochars used were obtained from two contrasting feedstocks, namely wood chips and wheat straw, by gasification under high temperature conditions, and were applied in a greenhouse experiment either as pure or as nutrient-activated biochar obtained by incubation with digestate. The results of the experiment showed that specific genotypes as well as different treatments with biochar have significant effects on plant response when looking at shoot traits related to growth. The evaluated genotypes could be clustered in two main distinct groups presenting, respectively, significantly increasing (Duilio, Iride, and Saragolla varieties) and decreasing (Marco Aurelio and Grecale varieties) values of projected shoot system area (PSSA), fresh weight (FW), dry weight (DW), and plant water loss by evapotranspiration (ET). All these traits were correlated with Pearson correlation coefficients ranging from 0.74 to 0.98. Concerning the treatment effect, a significant alteration of the mentioned plant traits was observed when applying biochar from wheat straw, characterized by very high electrical conductivity (EC), resulting in a reduction of 34.6% PSSA, 43.2% FW, 66.9% DW, and 36.0% ET, when compared to the control. Interestingly, the application of the same biochar after nutrient spiking with digestate determined about a 15\uffe2\uff80\uff9330% relief from the abovementioned reduction induced by the application of the sole pure wheat straw biochar. Our results reinforce the current basic knowledge available on biological soil amendments as biochar and digestate.Solanum pimpinellifolium and Solanum lycopersicum var. cerasiforme represent a valuable tool for tomato breeding, particularly for tolerance to abiotic stresses. Water stress and salinity are major constraints to tomato\uffe2\uff80\uff99s cultivation, and for which limited genetic variability has been reported within the cultivated species. We evaluated four accessions of S. pimpinellifolium and four of S. l. var. cerasiforme for their adaptation to water deficit and salinity. The CO2 assimilation rate, stomatal conductance, substomatal CO2 concentration, transpiration rate, and leaf chlorophyll concentration were evaluated, as well as morphological and agronomic traits. The accessions showed a remarkable inter- and intra-species response variability to both stresses. Two S. pimpinellifolium accessions and one S. l. var. cerasiforme showed unaltered physiological parameters, thus indicating a good adaptation to water deficit. Two S. l. var. cerasiforme accessions showed an interesting performance under salt stress, one of which showing also good adaptation to water stress. In general, both stresses showed a negative impact on leaf size and fruit fresh weight, especially in the big-sized fruits. However, flowering, fruit setting and earliness remained unaltered or even improved when compared to control conditions. Stressed plants yielded fruits with higher \uffc2\uffb0 Brix. Response to stresses seemed to be linked to origin environmental conditions, notwithstanding, variability was observed among accessions of the same region.
", "keywords": ["2. Zero hunger", "0301 basic medicine", "Salinity", "abiotic stress", "phenotyping", "S", "Soil Plant Analysis Development (SPAD) chlorophyll measurement", "Agriculture", "gas exchange", "15. Life on land", "F06 Irrigation", "Abiotic stress", "6. Clean water", "salinity", "Tomato wild relatives", "tomato wild relatives", "GENETICA", "03 medical and health sciences", "Phenotyping", "Gas exchange", "F40 Plant ecology", "Water deficit", "water deficit"], "contacts": [{"organization": "Mart\u00ednez-Cuenca, Mary-Rus, Pereira-D\u00edas, Leandro, Soler Aleixandre, Salvador, L\u00f3pez-Serrano, Lidia, Alonso-Mart\u00edn, David, Calatayud, \u00c1ngeles, D\u00edez, Mar\u00eda Jos\u00e9,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-4395/10/8/1169/pdf"}, {"href": "https://www.mdpi.com/2073-4395/10/8/1169/pdf"}, {"href": "https://doi.org/10.3390/agronomy10081169"}, {"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/agronomy10081169", "name": "item", "description": "10.3390/agronomy10081169", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy10081169"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-10T00:00:00Z"}}, {"id": "10.3390/genes11091011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:19:24Z", "type": "Journal Article", "created": "2020-08-27", "title": "Phenotyping in Arabidopsis and Crops\u2014Are We Addressing the Same Traits? A Case Study in Tomato", "description": "The convenient model Arabidopsis thaliana has allowed tremendous advances in plant genetics and physiology, in spite of only being a weed. It has also unveiled the main molecular networks governing, among others, abiotic stress responses. Through the use of the latest genomic tools, Arabidopsis research is nowadays being translated to agronomically interesting crop models such as tomato, but at a lagging pace. Knowledge transfer has been hindered by invariable differences in plant architecture and behaviour, as well as the divergent direct objectives of research in Arabidopsis vs. crops compromise transferability. In this sense, phenotype translation is still a very complex matter. Here, we point out the challenges of \uffe2\uff80\uff9ctranslational phenotyping\uffe2\uff80\uff9d in the case study of drought stress phenotyping in Arabidopsis and tomato. After briefly defining and describing drought stress and survival strategies, we compare drought stress protocols and phenotyping techniques most commonly used in the two species, and discuss their potential to gain insights, which are truly transferable between species. This review is intended to be a starting point for discussion about translational phenotyping approaches among plant scientists, and provides a useful compendium of methods and techniques used in modern phenotyping for this specific plant pair as a case study.
", "keywords": ["Crops", " Agricultural", "0301 basic medicine", "2. Zero hunger", "9. Industry and infrastructure", "Arabidopsis", "Review", "15. Life on land", "6. Clean water", "Droughts", "03 medical and health sciences", "Phenotype", "Solanum lycopersicum", "Gene Expression Regulation", " Plant", "Stress", " Physiological", "Arabidopsis; tomato; phenotyping; drought stress; translational phenotyping; osmotic stress; Dehydration; Arabidopsis thaliana; Solanum lycopersicum; Lycopersicon esculentum", "Plant Proteins"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/898415/2/genes-11-01011-v3.pdf"}, {"href": "https://iris.unito.it/bitstream/2318/1757296/1/genes-11-01011-v3.pdf"}, {"href": "https://www.mdpi.com/2073-4425/11/9/1011/pdf"}, {"href": "https://doi.org/10.3390/genes11091011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Genes", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/genes11091011", "name": "item", "description": "10.3390/genes11091011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/genes11091011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-27T00:00:00Z"}}, {"id": "10044/1/85999", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-21T16:21:59Z", "type": "Journal Article", "created": "2019-07-02", "title": "High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation", "description": "ABSTRACTBy developing a high-density murine immunophenotyping platform compatible with high-throughput genetic screening, we have established profound contributions of genetics and structure to immune variation. Specifically, high-throughput phenotyping of 530 knockout mouse lines identified 140 monogenic \uffe2\uff80\uff9chits\uffe2\uff80\uff9d (>25%), most of which had never hitherto been implicated in immunology. Furthermore, they were conspicuously enriched in genes for which humans show poor tolerance to loss-of-function. The immunophenotyping platform also exposed dense correlation networks linking immune parameters with one another and with specific physiologic traits. By limiting the freedom of individual immune parameters, such linkages impose genetically regulated \uffe2\uff80\uff9cimmunological structures\uffe2\uff80\uff9d, whose integrity was found to be associated with immunocompetence. Hence, our findings provide an expanded genetic resource and structural perspective for understanding and monitoring immune variation in health and disease.This study aims to highlight the major effects of biochar incorporation into potting soil substrate on plant growth and performance in early growth stages of five elite Italian varieties of durum wheat (Triticum durum). The biochars used were obtained from two contrasting feedstocks, namely wood chips and wheat straw, by gasification under high temperature conditions, and were applied in a greenhouse experiment either as pure or as nutrient-activated biochar obtained by incubation with digestate. The results of the experiment showed that specific genotypes as well as different treatments with biochar have significant effects on plant response when looking at shoot traits related to growth. The evaluated genotypes could be clustered in two main distinct groups presenting, respectively, significantly increasing (Duilio, Iride, and Saragolla varieties) and decreasing (Marco Aurelio and Grecale varieties) values of projected shoot system area (PSSA), fresh weight (FW), dry weight (DW), and plant water loss by evapotranspiration (ET). All these traits were correlated with Pearson correlation coefficients ranging from 0.74 to 0.98. Concerning the treatment effect, a significant alteration of the mentioned plant traits was observed when applying biochar from wheat straw, characterized by very high electrical conductivity (EC), resulting in a reduction of 34.6% PSSA, 43.2% FW, 66.9% DW, and 36.0% ET, when compared to the control. Interestingly, the application of the same biochar after nutrient spiking with digestate determined about a 15\uffe2\uff80\uff9330% relief from the abovementioned reduction induced by the application of the sole pure wheat straw biochar. Our results reinforce the current basic knowledge available on biological soil amendments as biochar and digestate.