Accurate genomic prediction for grain yield and grain moisture content of maize hybrids using multi-environment data

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DOI:10.1111/jipb.13857
作者：Jingxin Wang, Liwei Liu, Kunhui He, Takele Weldu Gebrewahid, Shang Gao, Qingzhen Tian, Zhanyi Li, Yiqun Song, Yiliang Guo, Yanwei Li, Qinxin Cui,&nbsp
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Wiley

Abstract： Incorporating genotype-by-environment (GE) interaction effects into genomic prediction (GP) models with multi-environment climate data can improve selection accuracy to a

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