Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep

The marker density, the heritability level of trait and the statistical models adopted are critical to the accuracy of genomic prediction (GP) or selection (GS). If the potential of GP is to be fully utilized to optimize the effect of breeding and selection, in addition to incorporating the above fa...

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Detalles Bibliográficos
Autores principales: Zhu, Shaohua, Guo, Tingting, Yuan, Chao, Liu, Jianbin, Li, Jianye, Han, Mei, Zhao, Hongchang, Wu, Yi, Sun, Weibo, Wang, Xijun, Wang, Tianxiang, Liu, Jigang, Tiambo, Christian Keambou, Yue, Yaojing, Yang, Bohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527494/
https://www.ncbi.nlm.nih.gov/pubmed/34849779
http://dx.doi.org/10.1093/g3journal/jkab206

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527494/
https://www.ncbi.nlm.nih.gov/pubmed/34849779
http://dx.doi.org/10.1093/g3journal/jkab206

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