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Accurate genomic prediction for grain yield and grain moisture content of maize hybrids using multi-environment data
State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences;
Nanfan Research Institute, Chinese Academy of Agricultural Sciences;
Key Laboratory of Maize Engineering Breeding, Ministry of Agriculture and Rural Affairs;
Jinxiang Seed Co.Ltd;
College of Agriculture, Aksum University-Shire Campus
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Jingxin Wang
Liwei Liu
Kunhui He
Takele Weldu Gebrewahid
Shang Gao
Qingzhen Tian
Zhanyi Li
Yiqun Song
Yiliang Guo
Yanwei Li
Qinxin Cui
Luyan Zhang
Jiankang Wang
Changling Huang
Liang Li
Tingting Guo
Huihui Li
开通知网号
Incorporating genotype-by-environment(GE) interaction effects into genomic prediction(GP)models with multi-environment climat...
机 构:
State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences;
Nanfan Research Institute, Chinese Academy of Agricultural Sciences;
Key Laboratory of Maize Engineering Breeding, Ministry of Agriculture and Rural Affairs;
Jinxiang Seed Co.Ltd;
College of Agriculture, Aksum University-Shire Campus;
领 域:
农作物;
关键词:
GBLUP;
genomic prediction;
genotype-by-environment interaction;
grain yield;
maize hybrids;
multi-environment;
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Journal of Integrative Plant Biology
2025年05期
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