Stage-specific drought resilience in cotton revealed by integrating machine learning, physiological traits, spectral phenotyping, and ionomic signatures

  1. El-Hadji Malick Cisse
  2. Bandara Gajanayake
  3. Sonal Mathur
  4. Christine Yao-Yun Chang
  5. David Fleisher
  6. Lisa Fultz
  7. Dennis Timlin
  8. Alakananda Mitra
  9. Vangimalla Reddy
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Abstract

Hyperspectral indices integrated with physiology predicted metabolites such as Rubisco activity across early, mid, and late flowering drought, establishing a rapid, non-destructive framework to detect sink limitations and identify cotton resilience to stage-specific stress and fiber quality decline.

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  1. Version published to 10.22541/au.175761609.97187745/v1