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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Bibliographic Details
Main Authors: Shaohua Zhu, Tingting Guo, Chao Yuan, Jianbin Liu, Jianye Li, Mei Han, Hongchang Zhao, Yi Wu, Weibo Sun, Xijun Wang, Tianxiang Wang, Jigang Liu, Tiambo, Christian K., Yaojing Yue, Bohui Yang
Format: Journal Article
Language:Inglés
Published: Oxford University Press 2021
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Online Access:https://hdl.handle.net/10568/114635

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