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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
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 |
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