Adapting crops for future climate conditions in the United Kingdom

게시됨 2021년 10월 14일

Tridge 요약

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.
면책 조항: 위의 요약은 정보 제공 목적으로 Tridge 자체 학습 AI 모델에 의해 생성되었습니다.

원본 콘텐츠

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 ...
출처: Phys

더 깊이 있는 인사이트가 필요하신가요?

귀사의 비즈니스에 맞춤화된 상세한 시장 분석 정보를 받아보세요.
'쿠키 허용'을 클릭하면 통계 및 개인 선호도 산출을 위한 쿠키 제공에 동의하게 됩니다. 개인정보 보호정책에서 쿠키에 대한 자세한 내용을 확인할 수 있습니다.