A Bayesian Decision Theory Approach for Genomic Selection

A Bayesian Decision Theory Approach for Genomic Selection

Plant and animal breeders are interested in selecting the best individuals from a candidate set for the next breeding cycle. In this paper, we propose a formal method under the Bayesian decision theory framework to tackle the selection problem based on genomic selection (GS) in single- and multi-tra...

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Bibliographic Details
Main Authors: Bartolo de Jesús Villar-Hernández, Sergio Pérez-Elizalde, José Crossa, Paulino Pérez-Rodríguez, Fernando H. Toledo, Juan Burgueño
Format: Article
Language:English
Published: Oxford University Press 2018-09-01
Series:G3: Genes, Genomes, Genetics
Subjects:
Bayesian Decision Theory
Genomic Selection
Loss Function
Simulation Scenarios
GenPred
Shared Data Resources
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.118.200430

Internet

http://g3journal.org/lookup/doi/10.1534/g3.118.200430

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