The Impact of Variable Degrees of Freedom and Scale Parameters in Bayesian Methods for Genomic Prediction in Chinese Simmental Beef Cattle

Three conventional Bayesian approaches (BayesA, BayesB and BayesCπ) have been demonstrated to be powerful in predicting genomic merit for complex traits in livestock. A priori, these Bayesian models assume that the non-zero SNP effects (marginally) follow a t-distribution depending on two fixed hype...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Zhu, Bo, Zhu, Miao, Jiang, Jicai, Niu, Hong, Wang, Yanhui, Wu, Yang, Xu, Lingyang, Chen, Yan, Zhang, Lupei, Gao, Xue, Gao, Huijiang, Liu, Jianfeng, Li, Junya
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2016
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Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4854473/
https://ncbi.nlm.nih.gov/pubmed/27139889
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0154118
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