基因组选择
基因分型
选择(遗传算法)
SNP基因分型
生物
牲畜
动物育种
SNP公司
生物技术
遗传学
单核苷酸多态性
计算机科学
基因型
基因
生态学
人工智能
作者
Cheng Ling Tan,Cheng Bian,Da Yang,Ning Li,Zhenfang Wu,Xiaoxiang Hu
出处
期刊:PubMed
日期:2017-11-20
卷期号:39 (11): 1033-1045
被引量:4
标识
DOI:10.16288/j.yczz.17-286
摘要
Genomic selection (GS) has become a widely accepted method in animal breeding to genetically improve economic traits. With the declining costs of high-density SNP chips and next-generation sequencing, GS has been applied in dairy cattle, swine, poultry and other animals and gained varying degrees of success. Currently, major challenges in GS studies include further reducing the cost of genome-wide SNP genotyping and improving the predictive accuracy of genomic estimated breeding value (GEBV). In this review, we summarize various methods for genome-wide SNP genotyping and GEBV prediction, and give a brief introduction of GS in livestock and poultry breeding. This review will provide a reference for further implementation of GS in farm animal breeding.
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