| 不同动物模型对安格斯牛周岁生长性状遗传参数估计的比较分析 |
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| 引用本文： | 冯小芳,蒋秋斐,封元,王瑜,母童,黎明,陈亚飞,王影,蔡正云,张娟,顾亚玲.不同动物模型对安格斯牛周岁生长性状遗传参数估计的比较分析[J].中国农业大学学报,2022,27(9):72-82. |
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| 作者姓名： | 冯小芳 蒋秋斐 封元 王瑜 母童 黎明 陈亚飞 王影 蔡正云 张娟 顾亚玲 |
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| 作者单位： | 宁夏大学 农学院, 银川 750021;宁夏畜牧工作站, 银川 750001;宁夏海原县九彩乡人民政府, 宁夏 海原 755200 |
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| 基金项目： | 宁夏自然科学基金项目(2021AAC03005) |
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| 摘 要： | 旨在分析不同动物模型对宁夏地区安格斯牛周岁生长性状遗传参数估计的影响，筛选出估计生长性状遗传参数的最佳动物模型。本研究使用包含或剔除母体遗传效应、母体永久环境效应及母体与直接遗传效应之间是否存在协方差来区分6种动物模型，借助DMU软件的DMU_AI模块，利用约束最大似然法(AI-REML)估计安格斯牛周岁生长性状的遗传参数。利用赤池信息准则(AIC)和似然比检验(LRT)来确定最佳动物模型。结果表明:1)在不考虑母体效应的模型中(模型1)，周岁体重、体高、体长和胸围的直接遗传力分别为0.59±0.02、0.52±0.03、0.20±0.04和0.52±0.03；2)在考虑母体加性遗传效应及其与直接加性遗传效应的协方差模型中(模型4)，直接遗传力和母体效应的遗传力升高，总遗传力值降低；3)模型4估计的周岁体重、体高、体长和胸围的直接遗传力分别为0.77±0.01、0.73±0.03、0.33±0.04和0.70±0.03，母体效应遗传力分别为0.50±0.05、0.51±0.05、0.10±0.04和0.23±0.04，总遗传力分别为0.16±0.06、0.12±0.05、0.11±0.01和0.32±0.01。综上，基于本研究发现模型4对安格斯牛周岁生长性状的遗传参数估计效果最佳，为宁夏地区安格斯牛核心群的选育提高提供理论依据。
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| 关 键 词： | 安格斯牛 生长性状 动物模型 遗传参数 母体遗传效应 |
| 收稿时间： | 2021/3/20 0:00:00 |
Comparison analysis of genetic parameter estimation of Angus cattle's one-year-old growth traits by different animal models |
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| FENG Xiaofang,JIANG Qiufei,FENG Yuan,WANG Yu,MU Tong,LI Ming,CHEN Yafei,WANG Ying,CAI Zhengyun,ZHANG Juan,GU Yaling.Comparison analysis of genetic parameter estimation of Angus cattle's one-year-old growth traits by different animal models[J].Journal of China Agricultural University,2022,27(9):72-82. |
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| Authors: | FENG Xiaofang JIANG Qiufei FENG Yuan WANG Yu MU Tong LI Ming CHEN Yafei WANG Ying CAI Zhengyun ZHANG Juan GU Yaling |
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| Institution: | School of Agriculture, Ningxia University, Yinchuan 750021, China;Animal Husbandry Extension Station, Yinchuan 750001, China;Ningxia Haiyuan County Jiucai Township People''s Government, Haiyuan 755200, China |
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| Abstract: | To analyze the effects of different animal models on the estimation of genetic parameters of growth traits of one-year-old growth traits of Angus cattle in Ningxia, and to identify the best animal model for estimating genetic parameters of growth traits, six animal models were distinguished by the inclusion or exclusion of maternal genetic effects, maternal permanent environmental effects and the presence or absence of covariance between maternal and direct genetic effects in the study. The constrained maximum likelihood method(AI-REML)with the help of the DMU_AI module of DMU software was used to estimate genetic parameters for the one-year-old growth traits of Angus cattle. The Akaike information criterion(AIC)and likelihood ratio test(LRT)were used to determine the best animal model for each growth trait. The results showed that: 1)For the model without maternal effects(model 1), the direct heritability of body weight, body height, body length and chest circumference were 0. 59±0. 02, 0. 52±0. 03, 0. 20±0. 04, and 0. 52±0. 03, respectively; 2)For the model of considering maternal additive heritability effects and covariance with direct additive heritability effects(model 4), the values of direct heritability and maternal effects heritability increased, and the total heritability decreased; 3)The direct heritability of body weight, body height, body length and chest circumference estimated by model 4 were 0. 77±0. 01, 0. 73±0. 03, 0. 33±0. 04 and 0. 70±0. 03, respectively, and the maternal effects heritabilitis was 0. 50±0. 05, 0. 51±0. 05, 0. 10±0. 04 and 0. 23±0. 04, respectively, and the total heritabilitis was 0. 16±0. 06, 0. 12±0. 05, 0. 11±0. 01 and 0. 32±0. 01. In conclusion, it was found that model 4 was the best for estimating genetic parameters for growth traits of one-year-old growth traits of Angus cattle, which can provide the theoretical basis for the breeding and improvement of Angus core group in Ningxia. |
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| Keywords: | Angus cattle growth traits animal models genetic parameters maternal effects |
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