A research project at Texas A&M AgriLife, led by Srinivasulu Ale, Ph.D., is using artificial intelligence to model the effects of climate change on cotton yield and irrigation water use, with the goal of identifying traits in cultivars that can adapt to these changes and extend the life of the Ogallala Aquifer. The team has developed virtual cotton cultivars with improved drought and heat tolerance, higher yield potential, and longer maturity, which outperformed a reference cultivar in simulations under future climate scenarios. The study's findings, published in Field Crops Research, could guide breeders in developing new cultivars and assist producers in resource planning.