快速型黄羽肉鸡饲料利用效率性状的基因组选择研究

doi:10.11843/j.issn.0366-6964.2021.08.008

Abstract

Abstract: This study aimed to explore the genetic parameters of feed utilization efficiency traits in fast-growing yellow-feathered broilers and evaluate the accuracy of the estimated breeding values obtained by different methods. A total of 1 923 fast-growing yellow-feathered broiler E line (1 199 males and 724 females) were genotyped using a 55K SNP chip. The genetic parameters were estimated based on the additive effects model using 3 methods:conventional best linear unbiased prediction (BLUP), genomic best linear unbiased prediction (GBLUP) and single-step genomic best linear unbiased prediction (SSGBLUP), and the accuracy of the estimated breeding values obtained by the 3 methods were compared by 10-fold cross-validation. The studied traits included 4 growth traits and 4 feed utilization efficiency traits:body weight at 42 days (BW42D), body weight at 56 days (BW56D), average daily gain (ADG), average daily feed intake (ADFI) and feed conversion ratio (FCR), residual feed intake (RFI), residual body weight gain (RG), residual intake and body weight gain (RIG). The results showed that all 4 feed utilization efficiency traits had low heritability (0.08-0.20), and the other growth traits had moderate to low heritability (0.11-0.35). All 4 feed utilization efficiency traits were high genetically correlated with each other, RFI and RIG were moderate genetically correlated with ADFI, RFI was not significantly correlated with ADG, RIG was low genetically correlated with ADG. On the basis of the obtained best genotype and pedigree matrix weight ratios for the SSGBLUP method, the accuracy of the estimated breeding values for the 8 traits were compared, and the accuracy of the SSGBLUP method was 3.85%-14.43% and 5.21%-17.89% higher than the conventional BLUP and GBLUP, respectively. In conclusion, using RIG as a selection indicator can reduce the average daily feed intake while maintaining the average daily gain, and it is more suitable than RFI for the selection and breeding of fast-growing yellow-feathered broilers; SSGBLUP analysis using the best weight ratio has the best predictive performance for the estimated breeding value of the target characteristics, and it is recommended as a genomic selection method for fast-growing yellow-feathered broilers.

Key words: broiler, feed efficiency, genomic selection, heritability, accuracy

CLC Number:

S831.2

LI Sen, DU Yongwang, WEN Jie, HUANG Chao, CHEN Zhiwu, ZHAO Guiping, ZHENG Maiqing. A Study of Genomic Selection for Feed Efficiency Traits in Fast-growing Yellow-feathered Broilers[J]. Acta Veterinaria et Zootechnica Sinica, 2021, 52(8): 2151-2161.

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A Study of Genomic Selection for Feed Efficiency Traits in Fast-growing Yellow-feathered Broilers

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