结合GWAS先验标记信息的肉鸡RFI性状全基因组选择研究

doi:10.11843/j.issn.0366-6964.2022.10.013

Abstract

Abstract: This study aimed to compare the prediction accuracy for chicken residual feed intake (RFI) trait estimated by genomic estimated breeding value (GEBV) estimates combined with prior marker information from genome-wide association study (GWAS) and genomic best linear unbiased prediction (GBLUP) method, and provide theoretical and technical support for improving the accuracy of genomic selection. In this study, 2 510 individuals from 3 generations of Guangxi Jinling flower chicken were selected, including 1 648 roosters and 862 hens, using residual feed intake from 42 to 56 days of age as target trait. The experimental population was randomly divided into two groups, one of which was used as a priori marker information discovery group for GWAS analysis, and the most significant top 5%, top 10%, top 15% and top 20% SNPs were selected as prior marker; in another group, the genetic parameters and prediction accuracy were estimated using different prior marker information. The accuracy was obtained by 10 repetitions of the five-fold cross-validation method, and then the two groups were cross-validated. The results showed that the heritability of RFI calculated by GBLUP was 0.153, and the prediction accuracy was 0.387-0.429. The heritability of RFI calculated by the genomic selection method combined with GWAS prior marker information was 0.139-0.157, and the prediction accuracy was 0.401-0.448. Incorporating the top 10%-top 15% SNPs with the most significant P values in the GWAS results as priors into the genomic selection model can improve the prediction accuracy of RFI by 2.10%-5.17%.

Key words: genomic selection, GWAS, prior marker information, prediction accuracy

CLC Number:

S831.2

DU Yongwang, HUANG Chao, WANG Yidong, LI Sen, WEN Jie, CHEN Zhiwu, ZHAO Guiping, ZHENG Maiqing. Genomic Selection for RFI in Broiler Combining GWAS Prior Marker Information[J]. Acta Veterinaria et Zootechnica Sinica, 2022, 53(10): 3403-3411.

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Genomic Selection for RFI in Broiler Combining GWAS Prior Marker Information

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