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基于不同密度SNP芯片在杜洛克公猪中的全基因组选择效果分析
作者单位:;1.中国农业大学动物科技学院;2.北京贝瑞和康生物技术有限公司;3.华南农业大学动物科学学院;4.河南农业大学牧医工程学院
摘    要:基因组选择(GS)是近些年发展起来的一项新型育种技术,目前已在动植物育种实践中应用。本研究通过在1 068头杜洛克公猪群体中使用不同密度的SNP芯片进行全基因组选择效果比较分析。结果发现:使用基因型填充后芯片以及高密度SNP芯片所获得的估计基因组育种值(GEBV)之间可以达到99%的相关,并发现个体间亲缘关系的远近对同群体内基因型填充结果的准确率影响不大。由此可见,与目标性状紧密相关的低密度SNP芯片可用于实际育种工作,在降低使用成本的同时并不影响全基因组选择效果,为实质性进行猪分子育种提供了一条可行途径。

关 键 词:全基因组选择  杜洛克公猪  SNP芯片  基因型填充  GEBV

Analysis of Genomic Selection Based on SNP Data of Various Density Chips in Duroc Male Pig Population
Institution:,College of Animal Science and Technology, China Agricultural University,Berry Genomics Corporation,College of Animal Science and Veterinary Medicine, Henan Agricultural University,College of Animal Science, South China Agricultural University
Abstract:Genomic selection(GS) is a breeding technique developed in recent years, which now has been applied in animals and plants breeding field. In this study, the GS effects were compared among a male Duroc population consisting of 1068 individuals by using different density SNP chips. The obtained results indicated that genomic estimated breeding values(GEBV) correlation is around 99% between high-density SNP chip group and genotype-imputed chips group. And we also found that the kinship between individuals had little effect on the accuracy of genotype imputing in this population. In summary, the low-density SNP chip closely related to target traits could be used for future pig breeding, which can not only reduce the cost without affecting selection effect, but also provide a feasible way for pig molecular breeding.
Keywords:Genomic selection  Male Duroc  SNP chips  Genetic imputation  GEBV
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