Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction

Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction

Genomic tools allow the study of the whole genome, and facilitate the study of genotype-environment combinations and their relationship with phenotype. However, most genomic prediction models developed so far are appropriate for Gaussian phenotypes. For this reason, appropriate genomic prediction mo...

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Bibliographic Details
Main Authors: Abelardo Montesinos-López, Osval A. Montesinos-López, José Crossa, Juan Burgueño, Kent M. Eskridge, Esteban Falconi-Castillo, Xinyao He, Pawan Singh, Karen Cichy
Format: Article
Language:English
Published: Oxford University Press 2016-05-01
Series:G3: Genes, Genomes, Genetics
Subjects:
Bayesian model
count data
genome enabled prediction
Gibbs sampler
GenPred
shared data resource
genomic selection
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.116.028118

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http://g3journal.org/lookup/doi/10.1534/g3.116.028118

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