Genomic prediction for residual feed intake and its component traits based on 50K and imputed 7.8 million whole genome sequence SNPs in multiple breed populations of Canadian beef cattle

被引:0
|
作者
Wang, Y. [1 ,2 ]
Zhang, F. [1 ,2 ,3 ]
Chen, L. [4 ]
Vinsky, M. [1 ]
Crowley, J. [2 ,5 ]
Plastow, G. [2 ]
Basarab, J. [6 ]
Stothard, P. [7 ]
Li, C. [1 ,7 ]
机构
[1] Agr & Agri Food Canada, Lacombe Res & Dev Ctr, Edmonton, AB, Canada
[2] Univ Alberta, Dept Agr Food & Nutr Sci, Livestock Gentec, Edmonton, AB, Canada
[3] Nanchang Univ, Inst Translat Med, Nanchang, Jiangxi, Peoples R China
[4] Zoetis, 333 Portage St, Kalamazoo, MI 49007 USA
[5] Canadian Beef Breeds Council, Calgary, AB, Canada
[6] Alberta Agr & Forestry, Lacombe Res & Dev Ctr, 6000 CE Trail, Lacombe, AB T4L 1W1, Canada
[7] Univ Alberta, Dept Agr Food & Nutr Sci, Edmonton, AB, Canada
关键词
genomic prediction; whole genome sequence imputed SNPs; feed efficiency;
D O I
暂无
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
287
引用
收藏
页码:107 / 107
页数:1
相关论文
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  • [1] Genomic prediction for feed efficiency traits based on 50K and imputed high density SNP genotypes in multiple breed populations of Canadian beef cattle
    Li, C.
    Chen, L.
    Vinsky, M.
    Crowley, J.
    Miller, S. P.
    Plastow, G.
    Basarab, J.
    Stothard, P.
    [J]. JOURNAL OF ANIMAL SCIENCE, 2016, 94 : 154 - 155