中国畜牧杂志

2021, v.57(07) 31-37

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Past Issue) | 高级检索(Advanced Search)

猪基因组选择育种研究进展
Research Progress on the Genomic Selection Breeding in Swine

邢文凯;刘建;刘燊;王闯;雷明刚;
XING Wenkai;LIU Jian;LIU Shen;WANG Chuang;LEI Minggang;College of Animal Science & Technology College of Animal Veterinary Medicine, Huazhong Agricultural University;Jiangxi Zhengbang Breeding Co.LTD;

摘要(Abstract):

全基因组选择是指利用覆盖整个基因组的高密度SNP计算个体的基因组估计育种值(Genomic Estimated Breeding Value,GEBV)。利用全基因组遗传标记信息对个体进行遗传评估,可以通过早期选择缩短世代间隔,提高GEBV的准确性,降低近交系数从而提高种猪的遗传进展。近年来,随着基因分型成本下降,全基因组选择技术越来越多地应用在猪育种工作中。本文主要从全基因组选择的步骤、分型技术和计算模型等方面进行综述,总结全基因组选择在猪育种中的优势和应用情况,对全基因组选择技术在我国猪育种中的应用提出建议。
Genome selection refers to the use of high density single nucleotide polymorphisms(SNPs) covering the whole genome to calculate the genome estimated breeding value of an individual. By using the information of genome-wide genetic markers, generation interval is shortened, genomic estimated breeding values' accuracy are improved, and the coefficient of inbreeding is reduced through early selection, therefore the genetic progresses of breeding pigs are enhanced. In recent years, with the decrease of cost-efficient genotyping, there are an increasing number of genomic selection technology applying in swine breeding. This article reviewed the processes, typing techniques, and computational models of genomic selection. In addition, it summarized the advantages and situation on the genomic selection technology,and the application of genomic selection in swine breeding in China was suggested.

关键词(KeyWords): 全基因组选择;猪;育种;遗传进展
Genomic selection;Swine;Breeding;Genetic progress

Abstract:

Keywords:

基金项目(Foundation): 国家现代工业产业技术体系专项资金(CARS-35);; 江西省重大科技研发专项(20194ABC28008)

作者(Author): 邢文凯;刘建;刘燊;王闯;雷明刚;
XING Wenkai;LIU Jian;LIU Shen;WANG Chuang;LEI Minggang;College of Animal Science & Technology College of Animal Veterinary Medicine, Huazhong Agricultural University;Jiangxi Zhengbang Breeding Co.LTD;

Email:

DOI: 10.19556/j.0258-7033.20200807-04

参考文献(References):

扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享