Warren C. Conaty

The paper identifies environmental factors and growth stages affecting fibre yield and quality in rain-grown cotton using statistical models and field data.

This paper develops a GEI-based genomic prediction method for cotton traits using dimensionality reduction and Bayesian models, showing better performance than deep learning approaches.

The paper examines how photosynthetic capacity, mesophyll conductance stability, and leaf anatomy affect heat and water deficit resilience in cotton species.