A Bayesian Genomic Regression Model with Skew Normal Random Errors

A Bayesian Genomic Regression Model with Skew Normal Random Errors

Genomic selection (GS) has become a tool for selecting candidates in plant and animal breeding programs. In the case of quantitative traits, it is common to assume that the distribution of the response variable can be approximated by a normal distribution. However, it is known that the selection pro...

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Bibliographic Details
Main Authors: Paulino Pérez-Rodríguez, Rocío Acosta-Pech, Sergio Pérez-Elizalde, Ciro Velasco Cruz, Javier Suárez Espinosa, José Crossa
Format: Article
Language:English
Published: Oxford University Press 2018-05-01
Series:G3: Genes, Genomes, Genetics
Subjects:
Genomic Selection
data augmentation
asymmetric distributions
GBLUP
Ridge regression
GenPred
Shared Data Resources
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.117.300406

Internet

http://g3journal.org/lookup/doi/10.1534/g3.117.300406

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