Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models

Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models

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. Genomi...

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Bibliographic Details
Main Authors: Jaime Cuevas, José Crossa, Osval A. Montesinos-López, Juan Burgueño, Paulino Pérez-Rodríguez, Gustavo de los Campos
Format: Article
Language:English
Published: Oxford University Press 2017-01-01
Series:G3: Genes, Genomes, Genetics
Subjects:
genomic selection
multi-environment
kernel GBLUP
Gaussian kernel
marker × environment interaction
GenPred
Shared data resource
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.116.035584

Internet

http://g3journal.org/lookup/doi/10.1534/g3.116.035584

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