{"type": "FeatureCollection", "features": [{"id": "10.1016/j.chemolab.2022.104517", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:56:42Z", "type": "Journal Article", "created": "2022-02-10", "title": "Improved understanding and prediction of pear fruit firmness with variation partitioning and sequential multi-block modelling", "description": "Fruit firmness is a complex trait that develops throughout fruit development, including post-harvest, and is influenced by both ripening and dehydration. There is a wide interest in predicting the firmness with non-destructive sensing techniques such as spectral analyses. However, often used reference techniques, such as acoustic firmness (AF), limited compression (LC) and Magness-Tyler (MT), respond differently to dehydration and ripening. This study aims to detangle how the firmness of \u2018Conference\u2019 pears relates to dehydration and ripening and to model ripening-related firmness using non-destructive sensing. Hereto, a pear fruit matrix was created with varying firmness and dehydration levels. To model fruit firmness (LC and MT) with Vis-NIR spectroscopy and explore whether AF information could complement Vis-NIR spectroscopy, a sequential multi-block analysis was performed. Single block Vis-NIR spectral data were made multi-block by partitioning the variance in spectral data into acoustic-dependent and -independent parts. A variation partitioning based approach was also presented to select the best pre-processing operation for Vis-NIR spectral data modelling. Multi-block regression to predict firmness and classification modelling of pear fruit in different firmness classes was also practised. The obtained results led to enhanced insights into the different fruit firmness measures and the capability of Vis-NIR and acoustic for non-destructive fruit firmness prediction. The results can benefit the scientific community working in the domain of fruit optical spectroscopy and chemometric modelling.", "keywords": ["Fruit quality", "Non-destructive", "0404 agricultural biotechnology", "Dehydration", "Firmness", "Ripening", "04 agricultural and veterinary sciences", "Chemometrics", "Data fusion", "0405 other agricultural sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemolab.2022.104517"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemometrics%20and%20Intelligent%20Laboratory%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemolab.2022.104517", "name": "item", "description": "10.1016/j.chemolab.2022.104517", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemolab.2022.104517"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-01T00:00:00Z"}}, {"id": "10.1038/s41586-022-04737-7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:58:32Z", "type": "Journal Article", "created": "2022-05-18", "title": "Tropical tree mortality has increased with rising atmospheric water stress", "description": "Evidence exists that tree mortality is accelerating in some regions of the tropics1,2, with profound consequences for the future of the tropical carbon sink and the global anthropogenic carbon budget left to limit peak global warming below 2\u2009\u00b0C. However, the mechanisms that may be driving such mortality changes and whether particular species are especially vulnerable remain unclear3-8. Here we analyse a 49-year record of tree dynamics from 24 old-growth forest plots encompassing a broad climatic gradient across the Australian moist tropics and find that annual tree mortality risk has, on average, doubled across all plots and species over the last 35\u00a0years, indicating a potential halving in life expectancy and carbon residence time. Associated losses in biomass were not offset by gains from growth and recruitment. Plots in less moist local climates presented higher average mortality risk, but local mean climate did not predict the pace of temporal increase in mortality risk. Species varied in the trajectories of their mortality risk, with the highest average risk found nearer to the upper end of the atmospheric vapour pressure deficit niches of species. A long-term increase in vapour pressure deficit was evident across the region, suggesting that thresholds involving atmospheric water stress, driven by global warming, may be a primary cause of increasing tree mortality in moist tropical forests.", "keywords": ["Risk", "0301 basic medicine", "Carbon Sequestration", "Time Factors", "[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics", "Population dynamics", "Acclimatization", "[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics", " Phylogenetics and taxonomy", "Global Warming", "History", " 21st Century", "333", "[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics", "Trees", "03 medical and health sciences", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "Stress", " Physiological", "[SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics", " Phylogenetics and taxonomy", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "Community ecology", "Biomass", "580", "Population Density", "Tropical Climate", "0303 health sciences", "Dehydration", "Atmosphere", "Climate-change ecology", "Australia", "Water", "Humidity", "Phylogenetics and taxonomy", "[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics", "History", " 20th Century", "15. Life on land", "Tropical ecology", "Carbon", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "13. Climate action", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "Forest ecology", "environment/Ecosystems"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/187195/1/Bauman_et_al_ms_Nature_final_AAM.pdf"}, {"href": "https://www.nature.com/articles/s41586-022-04737-7.pdf"}, {"href": "https://doi.org/10.1038/s41586-022-04737-7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41586-022-04737-7", "name": "item", "description": "10.1038/s41586-022-04737-7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41586-022-04737-7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-18T00:00:00Z"}}, {"id": "10.1101/2021.03.18.435447", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-31T06:59:15Z", "type": "Journal Article", "created": "2021-03-19", "title": "Predicting tomato field-yield using continuous monitoring of young tomato water status", "description": "Abstract<p>To address the challenge of predicting tomato yields in the field, we used whole-plant functional phenotyping to evaluate water relations under well-irrigated and drought conditions. The genotypes tested are known to exhibit variability in their yields in wet and dry fields. The examined lines included two lines with recessive mutations that affect carotenoid biosynthesis, zetaz2083and tangerinet3406, both isogenic to the processing tomato variety M82. The two mutant lines were reciprocally grafted onto M82, and multiple physiological characteristics were measured continuously, before, during and after drought treatment in the greenhouse. A comparative analysis of greenhouse and field yields showed that the whole-canopy stomatal conductance (gsc) in the morning and cumulative transpiration (CT) were strongly correlated with field measurements of total yield (TY:r2= 0.9 and 0.77, respectively) and plant vegetative weight (PW:r2= 0.6 and 0.94, respectively). Furthermore, the minimum CT during drought and the rate of recovery when irrigation was resumed were both found to predict resilience.</p>", "keywords": ["Crops", " Agricultural", "0301 basic medicine", "2. Zero hunger", "Dehydration", "Genotype", "Genetic Variation", "15. Life on land", "Genes", " Plant", "Adaptation", " Physiological", "6. Clean water", "Droughts", "03 medical and health sciences", "Phenotype", "Solanum lycopersicum", "Gene Expression Regulation", " Plant", "Mutation", "Plant Physiological Phenomena", "Forecasting"]}, "links": [{"href": "https://doi.org/10.1101/2021.03.18.435447"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1101/2021.03.18.435447", "name": "item", "description": "10.1101/2021.03.18.435447", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1101/2021.03.18.435447"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-19T00:00:00Z"}}, {"id": "10.1111/pce.13758", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-31T06:59:54Z", "type": "Journal Article", "created": "2020-03-20", "title": "A novel strigolactone\u2010miR156 module controls stomatal behaviour during drought recovery", "description": "Abstract<p>miR156 is a conserved microRNA whose role and induction mechanisms under stress are poorly known. Strigolactones are phytohormones needed in shoots for drought acclimation. They promote stomatal closure ABA\uffe2\uff80\uff90dependently and independently; however, downstream effectors for the former have not been identified. Linkage between miR156 and strigolactones under stress has not been reported. We compared ABA accumulation and sensitivity as well as performances of wt and miR156\uffe2\uff80\uff90overexpressing (miR156\uffe2\uff80\uff90oe) tomato plants during drought. We also quantified miR156 levels in wt, strigolactone\uffe2\uff80\uff90depleted and strigolactone\uffe2\uff80\uff90treated plants, exposed to drought stress. Under irrigated conditions, miR156 overexpression and strigolactone treatment led to lower stomatal conductance and higher ABA sensitivity. Exogenous strigolactones were sufficient for miR156 accumulation in leaves, while endogenous strigolactones were required for miR156 induction by drought. The \uffe2\uff80\uff9cafter\uffe2\uff80\uff90effect\uffe2\uff80\uff9d of drought, by which stomata do not completely re\uffe2\uff80\uff90open after rewatering, was enhanced by both strigolactones and miR156. The transcript profiles of several miR156 targets were altered in strigolactone\uffe2\uff80\uff90depleted plants. Our results show that strigolactones act as a molecular link between drought and miR156 in tomato, and identify miR156 as a mediator of ABA\uffe2\uff80\uff90dependent effect of strigolactones on the after\uffe2\uff80\uff90effect of drought on stomata. Thus, we provide insights into both strigolactone and miR156 action on stomata.</p>", "keywords": ["Osmotic stress", "0301 basic medicine", "Stress-responsive microRNA", "stomata", "hormone signalling", "after-effect of drought", "abscisic acid (ABA); after-effect of drought; hormone signalling; osmotic stress; Solanum lycopersicum; stomata; stress-responsive microRNA", "Lactones", "03 medical and health sciences", "Solanum lycopersicum", "Plant Growth Regulators", "Stomata", "2. Zero hunger", "0303 health sciences", "Dehydration", "After-effect of drought", "15. Life on land", "Abscisic acid (ABA)", "Hormone signalling", "6. Clean water", "MicroRNAs", "RNA", " Plant", "13. Climate action", "Plant Stomata", "abscisic acid (ABA)", "stress-responsive microRNA", "osmotic stress", "Heterocyclic Compounds", " 3-Ring", "Abscisic Acid"]}, "links": [{"href": "https://iris.unito.it/bitstream/2318/1764369/1/Visentin%20et%20al_PCE_R2.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/pce.13758"}, {"href": "https://doi.org/10.1111/pce.13758"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%2C%20Cell%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/pce.13758", "name": "item", "description": "10.1111/pce.13758", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/pce.13758"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-30T00:00:00Z"}}, {"id": "10.3390/genes11091011", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-31T07:01:41Z", "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": "<p>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.</p>", "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"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Dehydration&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Dehydration&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Dehydration&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Dehydration&offset=5", "hreflang": "en-US"}], "numberMatched": 5, "numberReturned": 5, "distributedFeatures": [], "timeStamp": "2026-05-31T10:56:42.603902Z"}