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Improving genomic prediction for two Yorkshire populations with a limited size using the single-step method

文献类型： 外文期刊

作者： Zhou, L. 1 ; Wang, Y. 1 ; Yu, J. 1 ; Yang, H. 2 ; Kang, H. 3 ; Zhang, S. 1 ; Wang, C. 4 ; Liu, J. 1 ;

作者机构： 1.China Agr Univ, Coll Anim Sci & Technol, Beijing 100193, Peoples R China

2.Wuhan Tianzhong Anim Husb Co Ltd, Wuhan 430043, Hubei, Peoples R China

3.Foshan Univ, Sch Life Sci & Engn, Foshan 528231, Guangdong, Peoples R China

4.Anhui Acad Agr Sci, Key Lab Pig Mol Quantitat Genet, Inst Anim Husb & Vet Med, Anhui Prov Key Lab Livestock & Poultry Prod Safet, Hefei 230031, Anhui, Peoples R China

关键词： accuracy; pig; single-step BLUP; two-population

期刊名称：ANIMAL GENETICS （ 影响因子：3.169； 五年影响因子：3.058 ）

ISSN： 0268-9146

年卷期： 2019 年 50 卷 4 期

页码：

收录情况： SCI

摘要： In this study, we conducted genomic prediction for two Yorkshire purebred populations (Yichun and Chifeng) from two different provinces of China that both had a limited population size. Two growth traits (age adjusted to 100 kg weight, AGE; back-fat thickness adjusted to 100 kg weight, BF) and one reproduction trait (total number of piglets born, TNB) were analyzed with four prediction strategies: one-population BLUP, joint two-population BLUP, one-population single-step BLUP (SSBLUP) and joint two-population SSBLUP. Our results illustrate that accuracies of genomic estimated breeding values were improved for BF and TNB for the Yichun population and for BF for the Chifeng population by genomic prediction (one-population SSBLUP and joint two-population SSBLUP). The accuracy of TNB for the Yichun population was increased two fold when comparing the one-population SSBLUP to the one-population BLUP prediction. Meanwhile, prediction biases were dramatically reduced for AGE for the Yichun population and for TNB for the Chifeng population. The conclusions of this study are as follows: first, genomic prediction is useful for improving prediction accuracy for purebred pig breeding farms with a limited population size; second, joint genomic prediction for different populations of the same breed with certain genetic links has the trend to further improve prediction accuracy.

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