<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Automated discretization of ‘transpiration restriction to increasing VPD’ features from outdoors high-throughput phenotyping data"^^ . "Abstract\r\nBackground: Restricting transpiration under high vapor pressure deficit (VPD) is a promising water-saving trait for\r\ndrought adaptation. However, it is often measured under controlled conditions and at very low throughput, unsuitable\r\nfor breeding. A few high-throughput phenotyping (HTP) studies exist, and have considered only maximum\r\ntranspiration rate in analyzing genotypic differences in this trait. Further, no study has precisely identified the VPD\r\nbreakpoints where genotypes restrict transpiration under natural conditions. Therefore, outdoors HTP data (15 min\r\nfrequency) of a chickpea population were used to automate the generation of smooth transpiration profiles, extract\r\ninformative features of the transpiration response to VPD for optimal genotypic discretization, identify VPD breakpoints,\r\nand compare genotypes.\r\n\r\nResults: Fifteen biologically relevant features were extracted from the transpiration rate profiles derived from load\r\ncells data. Genotypes were clustered (C1, C2, C3) and 6 most important features (with heritability > 0.5) were selected\r\nusing unsupervised Random Forest. All the wild relatives were found in C1, while C2 and C3 mostly comprised high TE\r\nand low TE lines, respectively. Assessment of the distinct p-value groups within each selected feature revealed highest\r\ngenotypic variation for the feature representing transpiration response to high VPD condition. Sensitivity analysis on a\r\nmulti-output neural network model (with R of 0.931, 0.944, 0.953 for C1, C2, C3, respectively) found C1 with the highest\r\nwater saving ability, that restricted transpiration at relatively low VPD levels, 56% (i.e. 3.52 kPa) or 62% (i.e. 3.90 kPa),\r\ndepending whether the influence of other environmental variables was minimum or maximum. Also, VPD appeared\r\nto have the most striking influence on the transpiration response independently of other environment variable,\r\nwhereas light, temperature, and relative humidity alone had little/no effect.\r\n\r\nConclusion: Through this study, we present a novel approach to identifying genotypes with drought-tolerance\r\npotential, which overcomes the challenges in HTP of the water-saving trait. The six selected features served as proxy\r\nphenotypes for reliable genotypic discretization. The wild chickpeas were found to limit water-loss faster than the\r\nwater-profligate cultivated ones. Such an analytic approach can be directly used for prescriptive breeding applications,\r\napplied to other traits, and help expedite maximized information extraction from HTP data."^^ . "2020-10" . . . "16" . "1" . . "BMC"^^ . . . "Plant Methods (TSI)"^^ . . . "17464811" . . . . . . . . . . . . . . . . . . . . . . . . . . . . "S S"^^ . "Durbha"^^ . "S S Durbha"^^ . . "H"^^ . "Iwata"^^ . "H Iwata"^^ . . "S"^^ . "Kar"^^ . "S Kar"^^ . . "J"^^ . "Adinarayana"^^ . "J Adinarayana"^^ . . "V"^^ . "Vadez"^^ . "V Vadez"^^ . . "R"^^ . "Tanaka"^^ . "R Tanaka"^^ . . "L B"^^ . "Korbu"^^ . "L B Korbu"^^ . . "J"^^ . "Kholová"^^ . "J Kholová"^^ . . . . . . "Automated discretization of ‘transpiration restriction to increasing VPD’ features from outdoors high-throughput phenotyping data (PDF)"^^ . . . . . "s13007-020-00680-8.pdf"^^ . . . "Automated discretization of ‘transpiration restriction to increasing VPD’ features from outdoors high-throughput phenotyping data (Other)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #11648 \n\nAutomated discretization of ‘transpiration restriction to increasing VPD’ features from outdoors high-throughput phenotyping data\n\n" . "text/html" . . . "Crop Physiology"@en . .