Multi-environment Genomic Selection in Rice Elite Breeding Lines

Rice

Research

Jean-Christophe Glaszmann¹  Van Hieu Nguyen²  Hayde Flandez-Galvez³  Vitaliano Lopena⁴  Alexis Ndayiragije⁴  Rosemary Murori⁴  Rose Imee Zhella Morantte⁴  Roselyne Uside Juma⁴  Holden Verdeprado⁴  Sanjay Kumar Katiyar⁴  Md Rafiqul Islam⁴  Joshua N. Cobb⁵  Jérôme Bartholomé⁶ 

[1] CIRAD, UMR AGAP Institut, 34398, Montpellier, France;UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France;CIRAD, UMR AGAP Institut, 34398, Montpellier, France;UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France;Rice Breeding Innovation Platform, International Rice Research Institute, DAPO, Box7777, Metro Manila, Philippines;Institute of Crop Science, College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines;Institute of Crop Science, College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines;Rice Breeding Innovation Platform, International Rice Research Institute, DAPO, Box7777, Metro Manila, Philippines;Rice Breeding Innovation Platform, International Rice Research Institute, DAPO, Box7777, Metro Manila, Philippines;RiceTec. Inc, PO Box 1305, 77512, Alvin, TX, USA;UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France;CIRAD, UMR AGAP Institut, Cali, Colombia;Alliance Bioversity-CIAT, Cali, Colombia;

关键词: Rice;    Oryza sativa;    Elite lines;    Genomic prediction;    Genotype by environment interactions;    Environmental covariates;    Multi-environment genomic prediction models;   

DOI  :  10.1186/s12284-023-00623-6

 received in 2022-10-04, accepted in 2023-01-31,  发布年份 2023

来源: Springer

【 授权许可】

CC BY   
© The Author(s) 2023

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