The impact of genomic relatedness between populations on the genomic estimated breeding values
The impact of genomic relatedness between populations on the genomic estimated breeding values作者机构:National Engineering Laboratory for Animal BreedingLaboratory of Animal GeneticsBreeding and ReproductionMinistry of AgricultureCollege of Animal Science and TechnologyChina Agricultural UniversityBeijing 100193China Department of Animal ScienceSchool of Agriculture and BiologyShanghai Jiao Tong UniversityShanghai 200240China Gènes DIFFSUION3595 Route de Tourna59500 DouaiFrance Center for Quantitative Genetics and GenomicsDepartment of Molecular Biology and GeneticsAarhus UniversityTjeleDenmark Key Laboratory of Pig Molecular Quantitative GeneticsInstitute of Animal Husbandry and Veterinary MedicineAnhui Academy of Agricultural SciencesHefei 230031China
出 版 物:《Journal of Animal Science and Biotechnology》 (畜牧与生物技术杂志(英文版))
年 卷 期:2018年第9卷第4期
页 面:841-846页
核心收录:
学科分类:09[农学]
基 金:supported by the earmarked fund for China Agriculture Research System(CARS-36) the National Natural Science Foundation of China(31671327,31701077,31371258) the Program for Changjiang Scholar and Innovation Research Team in University(Grant No.IRT1191) Anhui Science and Technology Key Project(17030701008) Anhui Academy of Agricultural Sciences Key Laboratory Project(18S0404)
主 题:Genomic prediction Genomic relationship Joint population prediction
摘 要:In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population(RP).Combining related populations from different countries and regions or using a related population with large size of RP has been considered to be viable strategies in cattle breeding. The genetic relationship between related populations is important for improving the genomic predictive ability. In this study, we used 122 French bulls as test individuals. The genomic estimated breeding values(GEBVs) evaluated using French RP, America RP and Chinese RP were *** results showed that the GEBVs were in higher concordance using French RP and American RP compared with using Chinese population. The persistence analysis, kinship analysis and the principal component analysis(PCA) were performed for 270 French bulls, 270 American bulls and 270 Chinese bulls to interpret the results. All the analyses illustrated that the genetic relationship between French bulls and American bulls was closer compared with Chinese bulls. Another reason could be the size of RP in China was smaller than the other two RPs. In conclusion, using RP of a related population to predict GEBVs of the animals in a target population is feasible when these two populations have a close genetic relationship and the related population is large.