Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle

Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle

Abstract Background Genomic selection has been successfully implemented in many livestock and crop species. The genomic best linear unbiased predictor (GBLUP) approach, assigning equal variance to all SNP effects, is one of the reference methods. When large-effect variants contribute to complex trai...

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Bibliographic Details
Main Authors: José Luis Gualdrón Duarte, Ann-Stephan Gori, Xavier Hubin, Daniela Lourenco, Carole Charlier, Ignacy Misztal, Tom Druet
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Genomics
Subjects:
Genomic prediction
Genomic selection
Genome-wide association study
Bovine genomics
Beef cattle
Online Access:http://link.springer.com/article/10.1186/s12864-020-06921-3

Internet

http://link.springer.com/article/10.1186/s12864-020-06921-3

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