Evaluating the performance of genomic selection on purebred population by incorporating crossbred data in pigs  

作　　者：Jun Zhou Qing Lin Xueyan Feng Duanyang Ren Jinyan Teng Xibo Wu Dan Wu Xiaoke Zhang Xiaolong Yuan Zanmou Chen Jiaqi Li Zhe Zhang Hao Zhang 

机构地区：[1]College of Animal Science,South China Agricultural University/State Key Laboratory of Swine and Poultry Breeding Industry/National Engineering Research Center for Breeding Swine Industry,Guangzhou 510642,China [2]Guangxi State Farms Yongxin Animal Husbandry Group Co.,Ltd.,Nanning 530022,China

出　　处：《Journal of Integrative Agriculture》2024年第2期639-648,共10页农业科学学报（英文版）

基　　金：supported by the earmarked fund for China Agriculture Research System(CARS-35);the National Natural Science Foundation of China(32022078);supported by the National Supercomputer Centre in Guangzhou。

摘　　要：Genomic selection(GS)has been widely used in livestock,which greatly accelerated the genetic progress of complex traits.The population size was one of the significant factors affecting the prediction accuracy,while it was limited by the purebred population.Compared to directly combining two uncorrelated purebred populations to extend the reference population size,it might be more meaningful to incorporate the correlated crossbreds into reference population for genomic prediction.In this study,we simulated purebred offspring(PAS and PBS)and crossbred offspring(CAB)base on real genotype data of two base purebred populations(PA and PB),to evaluate the performance of genomic selection on purebred while incorporating crossbred information.The results showed that selecting key crossbred individuals via maximizing the expected genetic relationship(REL)was better than the other methods(individuals closet or farthest to the purebred population,CP/FP)in term of the prediction accuracy.Furthermore,the prediction accuracy of reference populations combining PA and CAB was significantly better only based on PA,which was similar to combine PA and PAS.Moreover,the rank correlation between the multiple of the increased relationship(MIR)and reliability improvement was 0.60-0.70.But for individuals with low correlation(Cor(Pi,PA or B),the reliability improvement was significantly lower than other individuals.Our findings suggested that incorporating crossbred into purebred population could improve the performance of genetic prediction compared with using the purebred population only.The genetic relationship between purebred and crossbred population is a key factor determining the increased reliability while incorporating crossbred population in the genomic prediction on pure bred individuals.

关 键 词：PIGS crossbred population genomic selection reference population construction relationship 

分 类 号：S828[农业科学—畜牧学]