Article
Evaluation of Bayesian alphabet and GBLUP based on different marker density for genomic prediction in Alpine Merino sheep.
G3 (Bethesda, Md.) - 19 Oct 2021
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
Abstract excerpt
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 factors into simulated data for analysis, it is essential to incorporate these factors into real data for...
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