基于系谱和基因组信息估计荷斯坦青年母牛体重性状遗传参数

doi:10.11843/j.issn.0366-6964.2022.11.005

Abstract

Abstract: The aim of this study was to estimate genetic parameters of body weight (BW) at different ages in Holstein heifers using models considering different source of information. A data set including 32 338 BW records of 0-12 months old on 7 122 female Holstein cattle measured from 2019 to 2020 was collected. Variance components and parameters were estimated using linear mixed model with pedigree relationship matrix (LM_A) and genotype-pedigree joint relationship matrix (LM_H). For calf birth weight (CBW), animal models with maternal genetic effects were applied. The single-trait animal models with or without a CBW as a covariate were used for the estimation of heritability of monthly body weight from month 2 to 12. Genetic correlations between CAW and monthly BW were estimated using bivariate animal models. The results showed that models with LM_H had better goodness of fit based on Akaike information criterion (AIC), although similar parameters for CBW were obtained through LM_A and LM_H methods. For CBW, direct heritabilities estimated by LM_A and LM_H were 0.30 and 0.32, respectively, and maternal heritabilities were 0.08 and 0.09, respectively. The correlation coefficients between individual direct genetic effect and maternal genetic effect was antagonistic for LM_A (-0.65) and LM_H (-0.64). Monthly BW traits had moderate to high heritabilities. Estimates from LM_A and LM_H with model including CBW as a covariate ranged from 0.15 to 0.55 and 0.28 to 0.49, respectively, and heritabilities from LM_A and LM_H with model without CBW ranged from 0.16 to 0.54 and 0.28 to 0.51, respectively. BW at age of month 2 and 5 were highly genetically correlated with CBW (correlation coefficient was higher than 0.6). After 5 months old, genetic correlations between CBW and BW at different months were decreased with increasing time spans. Compared with LM_A, the LM_H method was more stable, with a smaller AIC value (that is, a larger goodness of fit) and a smaller standard error of the genetic parameters. In conclusion, using the LM_H method to estimate target traits can obtain more accurate and stable genetic parameters. This study provides a theoretical basis for the establishment of a genomic selection system for growth traits in Chinese Holstein cattle.

Key words: Holstein cattle, body weight, genetic parameters, pedigree, genomic information

CLC Number:

S823.2

CHANG Yao, SU Guosheng, LI Yanhua, LI Xiang, MA Zhu, WANG Yachun. Estimating Genetic Parameters for Body Weights using Pedigree and Genotype-pedigree based Approaches in Holstein Heifers[J]. Acta Veterinaria et Zootechnica Sinica, 2022, 53(11): 3759-3768.

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Estimating Genetic Parameters for Body Weights using Pedigree and Genotype-pedigree based Approaches in Holstein Heifers

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