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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4854473/
https://www.ncbi.nlm.nih.gov/pubmed/27139889
http://dx.doi.org/10.1371/journal.pone.0154118

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4854473/
https://www.ncbi.nlm.nih.gov/pubmed/27139889
http://dx.doi.org/10.1371/journal.pone.0154118

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