Article
Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models.
G3 (Bethesda, Md.) - 5 Jan 2017
Cuevas Jaime, Crossa José, Montesinos-López Osval A, Burgueño Juan, Pérez-Rodríguez Paulino, de Los Campos Gustavo
Abstract excerpt
The phenomenon of genotype × environment (G × E) interaction in plant breeding decreases selection accuracy, thereby negatively affecting genetic gains. Several genomic prediction models incorporating G × E have been recently developed and used in genomic selection of plant breeding programs. Genomic prediction models for assessing multi-environment G × E interaction are extensions of a single-environment model,...
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