不同模型对青海细毛羊生长性状遗传参数估计的比较

doi:10.3864/j.issn.0578-1752.2012.11.018

摘要/Abstract

摘要： 【目的】分析不同动物模型对青海细毛羊生长性状遗传参数估计的影响。【方法】采用平均信息最大约束似然法应用不同混合动物模型估计青海细毛羊生长性状的遗传参数，并采用似然比检验对不同模型进行比较分析。根据各模型中随机效应的不同，共构建了8个模型。各模型中均包括固定效应、个体直接加性遗传效应、残差效应；随机效应为个体永久环境效应、母体遗传效应、母体永久环境效应。【结果】①各模型估计的初生体重遗传力为0.1696—0.3781，母体效应遗传力为0.0001—0.0900；断奶体重遗传力为0.2520—0.3291，母体效应遗传力为0.0002—0.0759；周岁体重遗传力为0.2244—0.3506，母体效应遗传力为0.0001—0.0918；成年羊体重遗传力为0.2205—0.3981，母体效应遗传力为0.0000—0.0006；②似然比检验表明，与模型1相比，模型3和8相对于初生体重差异显著（P＜0.01），模型3对断奶体重差异显著（P＜0.01）；与模型2相比，模型8对初生体重差异显著（P＜0.01）；模型6对周岁体重差异显著（P＜0.01）；模型5和8对成年体重差异显著（P＜0.01）；与模型4相比，模型5和8对初生体重差异显著（P＜0.01）；模型6对周岁体重差异显著（P＜0.01）；对于周岁体重、成年羊体重各模型与模型1的似然比检验差异不显著（P＞0.05）；模型5、6、7和8分别与模型3相比对各生长性状差异不显著（P＞0.05）。【结论】对于初生体重、断奶体重模型3较为适合，而模型1对周岁体重、成年体重较为适合；初生体重、断奶体重受母体遗传效应影响较其它随机效应更为显著；基于模型估计的初生体重、断奶体重和周岁体重、成年体重遗传力分别为0.1995、0.2552、0.3438和0.2205。

关键词: 青海细毛羊, 生长性状, 遗传参数, 动物模型, 遗传力

Abstract: 【Objective】The effects of different animal models on estimation of genetic parameters of growth traits of Qinghai Fine-Wool sheep were investigated. 【Method】 The genetic parameters for growth traits of Qinghai Fine-Wool sheep were estimated by average information restricted maximum likelihood (AIREML) with different animal models, and the differences between different animal models were tested by likelihood ratio test. Eight models were constructed on the basis of different random effects in models. All models contain the fixed effects, direct genetic effects, and residual effects. The random effects include individual permanent environmental effects, maternal genetic effects, and maternal permanent environmental effects.【Result】The direct heritabilities were 0.1696-0.3781, 0.2520-0.3291, 0.2244-0.3506, and 0.2205-0.3981 for birth weight (BWT), weaning weight (WWT), yearling weight (YWT), hogget weight (HWT), respectively, and the maternal heritability were 0.0001-0.0900, 0.0002-0.0759, 0.0001-0.0918, and 0.0000-0.0006 for BWT, WWT, YWT, HWT, respectively. Compared with model 1, both model 3 and model 8 were significant (P＜0.01) for BWT, and model 3 was significant (P＜0.01) for WWT, other models were not significant (P＞0.05) for YWT and HWT by likelihood ratio test. Compared with model 2, model 8 was significant (P＜0.01) for BWT, model 6 was significant (P＜0.01) for YWT, both model 5 and model 8 were significant (P＜0.01) for HWT, by likelihood ratio test. Compared with model 3, models 5, 6, 7, 8 were not significant (P＞0.05) for all growth traits by likelihood ratio test. Compared with model 4, both models 5 and model 8 were significant (P＜0.01) for BWT; model 6 was significant (P＜0.01) for YWT, by likelihood ratio test.【Conclusion】Model 3 is fit for birth weight, weaning weight, and model 1 is fit for yearling weight, hogget weight. The maternal effects are important determinants of estimating the genetic parameters of birth weight and weaning weight. The direct heritabilities are 0.1995, 0.2552, 0.3438, and 0.2205 for BWT, WWT , YWT, HWT , respectively.

Key words: Qinghai Fine-Wool sheep, growth traits, genetic parameters, animal models, heritabilities

王鹏宇, 官却扎西, 祁全青, 德毛, 张燕军, 王瑞军, 张文广, 李金泉. 不同模型对青海细毛羊生长性状遗传参数估计的比较[J]. 中国农业科学, 2012, 45(11): 2280-2287.

WANG Peng-Yu, GUAN Que-Zha-Xi, QI Quan-Qing, DE Mao, ZHANG Yan-Jun, WANG Rui-Jun, ZHANG Wen-Guang, LI Jin-Quan. Comparison and Analysis of Genetic Parameters of Growth Traits of Qinghai Fine-Wool Sheep Estimated by Different Models[J]. Scientia Agricultura Sinica, 2012, 45(11): 2280-2287.

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