Genetics-inspired data-driven approaches explain and predict crop performance fluctuations attributed to changing climatic conditions  

作　　者：Xianran Li Tingting Guo Guihua Bai Zhiwu Zhang Deven See Juliet Marshall Kimberly A.Garland-Campbell Jianming Yu 

机构地区：[1]USDA,Agricultural Research Service,Wheat Health,Genetics,and Quality Research Unit,Pullman,WA 99164,USA [2]Department of Agronomy,Iowa State University,Ames,IA 50011,USA [3]USDA,Agricultural Research Service,Hard Winter Wheat Genetics Research Unit,Manhattan,KS 66506,USA [4]Department of Crop and Soil Sciences,Washington State University,Pullman,WA 99164,USA [5]Department of Plant Sciences,University of Idaho Research and Extension,Idaho Falls,ID 83402,USA

出　　处：《Molecular Plant》2022年第2期203-206,共4页分子植物（英文版）

基　　金：supported by the Agriculture and Food Rosoarch Initiative competitive grant(2021-67013-33833);the Federal Hatch Funds(IDA01312)from the USDA National Institute of Food and Agriculture,by the USDA-ARS In-House Project 2090-21000-033-000.

摘　　要：Dear Editor,Genetics-focused approaches have been widely used to uncover major genetic variants associated with performance variation.Selecting,manipulating,and editing genetic variants significantly improve crop performance.Meanwhile,the genetic component explains a portion of performance variation,and the environ-mental component contributes to the remaining,often large,portion(Laidig et al.,2017;Bonecke et al.,2020;Li et al.,2021).To ensure superior and robust performance,elite varieties are extensively tested across multiple years and locations.These extensive performance records,coupled with climatic profiles,could be leveraged to understand climate's impact on agriculture through approaches parallel to quantitative genetics approaches(Figure 1A).

关 键 词：performance attributed FIGURE 

分 类 号：S16[农业科学—农业气象学] S18[农业科学—农业基础科学]