不同动物模型对高山美利奴羊早期生长性状遗传参数估计的比较

doi:10.3864/j.issn.0578-1752.2018.06.018

Abstract

Abstract: 【Objective】This study aims to investigate the effect of different animal models on the estimation of genetic parameters of early growth traits of Alpine Merino Sheep, and to select the best animal model. And the best model was used to estimate the genetic parameters of early growth traits, which can provide the theoretical basis for the breeding of Alpine Merino Sheep in the early stage. 【Method】 Firstly, F- test was performed using ASReml software to determine whether the factors in the fixed effects were significant. And the fixed effects which have significant influence on the early growth traits of Alpine Merino sheep were selected for further analysis. Secondly, four animal models were constructed considering different random effects. And genetic parameters in each model were estimated by the Average Information Restricted Maximum Likelihood (AIREML) in ASReml software. Individual additive genetic effect was considered as random effect in model 1. Besides individual additive genetic effect, maternal genetic effect, individual permanent environmental effect was considered as random effects in model 2 and model3, respectively. Finally, the optimal animal model was selected by comparing the random effects in different models with the Akzo Information Criterion (AIC) Index and Likelihood Ratio Test (LRT). 【Result】 (1) The results showed that bloodline, gender, birth type, birth year, birth month, mating month and flocks highly affected the early growth traits of Alpine Merino sheep (P＜0.001). Except gender and birth type, other fixed effects were significant on gestation length (P＜0.001). (2) The direct heritabilities were (0.0924±0.0160)-(0.2073±0.0226), (0.0651±0.0126)-(0.1027±0.0159), (0.0681±0.0130)-(0.1001±0.1061), (0.0865±0.0148)- (0.0937±0.0149) and (0.0902±0.0174)-(0.1119±0.0189) for BWT, WWT, ADG, WSL, GL, respectively. The maternal heritabilities were 0.1623±0.0113, (0.1097±0.0407)-(0.1098±0.0112), 0.0898±0.0112, 0.0173±0.0107 and 0.0477±0.0146 for birth weight (BWT), weaning weight (WWT), pre-weaning average daily gain (ADG), weaning staple length (WSL) , gestation length (GL), respectively. (3) The comparative analysis of the random effects in different models by the Akaike information criterion (AIC ) and the likelihood ratio test (LRT) showed that the early growth traits were significantly affected by the individual additive genetic effects and maternal genetic effects, but the individual permanent environmental effects were negligible. Therefore, the model 2 was the best model for the early growth traits of Alpine Merino Sheep. 【Conclusion】 The early growth traits of Alpine Merino Sheep were affected by maternal genetic effects more than other random effects. Model 2 was the best animal model for estimating the genetic parameters of early growth traits of Alpine Merino Sheep. Based on the best animal model, the direct heritabilities were 0.0924 ± 0.0160, 0.0651 ± 0.0126, 0.0681 ± 0.0130, 0.0865 ± 0.0148, 0.0902 ± 0.0174 for BWT, WWT, ADG, WSL, GL, respectively. The maternal heritabilities of these traits were 0.1623 ± 0.0113, 0.1098 ± 0.0112, 0.0898 ± 0.0112, 0.0173 ± 0.0107 and 0.0477 ± 0.0146, respectively.

Key words: animal models, Alpine Merino Sheep, early growth traits, genetic parameters, heritabilities, maternal heritabilities

ZHANG JianBo, YUAN Chao, YUE YaoJing, GUO Jian, NIU ChunE, WANG XiJun, WANG LiJuan, Lü HuiQin, YANG BoHui. Comparison and Analysis of Genetic Parameters Estimation of Early Growth Traits of Alpine Merino Sheep by Different Animal Models[J].Scientia Agricultura Sinica, 2018, 51(6): 1202-1212.

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