Adapting crops for future climate conditions in the United Kingdom

Published 2021년 10월 14일

Tridge summary

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.
Disclaimer:The above summary was generated by Tridge's proprietary AI model for informational purposes.

Original content

With crops, farmers will adapt—they always have and always will. To help this adaptation, however, a Texas A&M AgriLife research project has used artificial intelligence modeling to determine what traits cultivars will need to be successful under changing climate conditions. The project's other goal was to help extend the life of the Ogallala Aquifer. Safeguarding the aquifer will require understanding how crops adapt to future cropping practices, especially since climate change predictions indicate summers will be warmer and dryer in the future.Toward these goals, a Texas A&M AgriLife team has completed an assessment of climate change impacts on cotton yield and irrigation water use. "Potential genotype-based climate change adaptation strategies for sustaining ...
Source: Phys

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