一种适用于单胎动物多品种选择的基因组关系矩阵

doi:10.11843/j.issn.0366-6964.2021.011.012

Abstract

Abstract: This study aimed to propose a new genomic relationship matrix and validate its simulated application efficacy for an across-breeds population. The bovine phenotypic and genotypic data were simulated by QMsim software; General G matrix was constructed by Gmatrix software; The new G matrix was constructed by R language. Compared with the general G matrix, the new G matrix took into account the Hardy-Weinberg disequilibrium loci in combined population; The ssGBLUP method in DMU software was used to calculate the estimated genomic breeding values; The GEBV accuracies predicted by two G matrixes were compared for different situations. The results indicated that under different heritabilities and QTL numbers, the GEBV accuracy of the general G matrix using A₂₂ matrix weighting could be achieved without using the A₂₂ matrix weighting for the new G matrix. When the partial pedigree information missed, the GEBV accuracy of new G matrix without weighting outperformed general G matrix with weighting. In conclusion, new G matrix could perform better on GEBV prediction for across-breeds population when the partial pedigree information missed.

Key words: genomic selection, simulated research, ssGBLUP, genomic relationship matrix, across-breeds

CLC Number:

S811

ZHANG Hongzhi, REN Duanyang, AN Lixia, QIAO Liying, LIU Wenzhong. A Novel Genomic Relationship Matrix Applied to Single Birth Animals for Across-breeds Genomic Selection[J]. Acta Veterinaria et Zootechnica Sinica, 2021, 52(11): 3108-3117.

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A Novel Genomic Relationship Matrix Applied to Single Birth Animals for Across-breeds Genomic Selection

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