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Genetic gain and inbreeding from simulation of different genomic mating schemes for pig improvement

Journal of Animal Science and Biotechnology 2023年第4期14卷 1363-1376页

作者： Fuping Zhao Pengfei Zhang Xiaoqing Wang Deniz Akdemir Dorian Garrick Jun He Lixian Wang Key Laboratory of Animal Genetics Breeding and Reproduction(Poultry)of Ministry of Agriculture and Rural AffairsInstitute of Animal ScienceChinese Academy of Agricultural SciencesBeijing 100193China Center for Blood and Marrow Transplant Research MinneapolisMNUSA. AL Rae Centre for Genetics and Breeding Massey UniversityHamilton 3240New Zealand College of Animal Science and Biotechnology Hunnan Agricultural UniversityChangsha 410128China

Background genomic selection involves choosing as parents those elite individuals with the higher genomic estimated breeding values(GEBV)to accelerate the speed of genetic improvement in domestic *** after multi-generation selection,the rate of inbreeding and the occurrence of homozygous harmful alleles might increase,which would reduce performance and genetic *** mitigate the above problems,we can utilize genomic mating(GM)based upon optimal mate allocation to construct the best genotypic combinations in the next *** this study,we used stochastic simulation to investigate the impact of various factors on the efficiencies of GM to optimize pairing combinations after genomic selection of candidates in a pig *** factors included:the algorithm used to derive inbreeding coefficients;the trait heritability(0.1,0.3 or 0.5);the kind of GM scheme(focused average GEBV or inbreeding);the approach for computing the genomic relationship matrix(by SNP or runs of homozygosity(ROH)).The outcomes were compared to three traditional mating schemes(random,positive assortative or negative assortative matings).In addition,the performance of the GM approach was tested on real datasets obtained from a Large White pig breeding *** genomic mating outperforms other approaches in limiting the inbreeding accumulation for the same expected genetic *** use of ROH-based genealogical relatedness in GM achieved faster genetic gains than using relatedness based on individual *** GROH-based GM schemes with the maximum genetic gain resulted in 0.9%-2.6%higher rates of genetic gainΔG,and 13%-83.3%lowerΔF than positive assortative mating regardless of *** rates of inbreeding were always the fastest with positive assortative *** from a purebred Large White pig population,confirmed that GM with ROH-based GRM was more efficient than traditional mating *** Compared with traditional mating schemes,genomic

关键词： Genetic gain genomic mating genomic selection Inbreeding Pig

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