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Automated discretization of 'transpiration restriction to increasing VPD' features from outdoors high-throughput phenotyping data.

Soumyashree KarRyokei TanakaLijalem Balcha KorbuJana KholováHiroyoshi IwataSurya S DurbhaJ AdinarayanaVincent Vadez
Published in: Plant methods (2020)
Through this study, we present a novel approach to identifying genotypes with drought-tolerance potential, which overcomes the challenges in HTP of the water-saving trait. The six selected features served as proxy phenotypes for reliable genotypic discretization. The wild chickpeas were found to limit water-loss faster than the water-profligate cultivated ones. Such an analytic approach can be directly used for prescriptive breeding applications, applied to other traits, and help expedite maximized information extraction from HTP data.
Keyphrases
  • high throughput
  • electronic health record
  • big data
  • genome wide
  • single cell
  • climate change
  • deep learning
  • healthcare
  • social media
  • arabidopsis thaliana
  • genetic diversity