基于基因组和系谱信息的不同选配方案效果模拟研究

doi:10.11843/j.issn.0366-6964.2022.10.017

Abstract

Abstract: Genomic mating (GM) is the optimized selection and matching using genomic information, which can effectively control the level of population inbreeding and maximize genetic gain. Genomic mating is based on all individuals in the population, which is a little contrary to the actual breeding work. This study simulated the basic group data of 9 000 individuals with a heritability of 0.5. According to GEBV, 30 sire and 900 dam were selected for each generation as breeding individuals, and then 4 different mating schemes were used:genomic mating, positive assortative mating, negative assortative mating and random mating. Among them, 3 different schemes were given in genomic mating, namely, the maximum genetic gain, the minimum inbreeding, and the maximum variance between families. Five generations were breeding for each scheme, and the average GEBV, genetic gain, inbreeding coefficient, and genetic variance of the offspring population were compared, and the average was taken for 5 times. The ΔG of the 3 genomic mating schemes were significantly higher than those of random mating and positive assortative mating (P<0.01). The ΔG of the genomic mating scheme with the maximum genetic gain was 4.3% higher than that of positive assortative mating. The ΔF of the 3 genomic mating schemes of were 22.2%-94.1% lower than those of positive assortative mating. Among them, the ΔF of the minimum inbreeding scheme selected in genomic mating was 11.8% lower than that of negative assortative mating. The genetic variance of positive assortative mating decreased rapidly and was significantly lower in the 5th generation than all schemes except the scheme that selected the maximum genetic gain in genomic mating (P<0.05). The genetic variance of the 3 schemes of genomic mating was 10.8%-32.2% higher than that of positive assortative mating. The result indicate that genomic mating can not only obtain higher genetic gain than positive assortative mating, but also effectively reduce the rate of inbreeding, and slow down the rate of genetic variance reduction to ensure a certain genetic variation. As an effective sustainable breeding method, genomic mating is very necessary in livestock and poultry breeding.

Key words: simulation data, genomic selection, genomic mating, genetic gain, inbreeding

CLC Number:

S813

ZHANG Pengfei, HE Jun, WANG Lixian, ZHAO Fuping. Simulation Study on the Effects of Different Mating Schemes Based on Genomic and Pedigree Information[J]. Acta Veterinaria et Zootechnica Sinica, 2022, 53(10): 3448-3458.

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Simulation Study on the Effects of Different Mating Schemes Based on Genomic and Pedigree Information

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