Simulation analysis to test the influence of model adequacy and data structure on the estimation of genetic parameters for traits with direct and maternal effects
Simulation analysis to test the influence of model adequacy and data structure on the estimation of genetic parameters for traits with direct and maternal effects
复制标题
DOI：
10.1051/gse:2001123
复制
发表时间：
2001-07-01
影响因子：
4.1
通讯作者：
Hanocq, É
中科院分区：
文献类型：
--
作者：
Clément, V;Bibé, B;Hanocq, É
通过模拟研究了模型充分性和数据结构对直系效应和母系效应控制性状遗传参数估计的影响。为了测试模型的充分性，根据不同的潜在遗传假设模拟了几个数据集，并通过比较正确和不正确的模型进行了分析。结果表明，其中一个随机效应的遗漏会导致其他成分的不正确分解。如果母系遗传效应存在但被忽视，则直接遗传力被高估，有时甚至超过两倍。这种偏差取决于直接效应和母系效应之间的遗传相关性。为了研究数据结构对遗传参数估计的影响，模拟了几个已知亲缘程度不同、群间遗传连通性不同的群体。结果表明，当鸡群具有不同的遗传手段时，缺乏连通性会影响估计，因为无法区分鸡群之间的遗传和环境差异。在这种情况下，直接遗传和母系遗传被低估了，而母系环境影响被高估了。家谱的不足导致遗传参数的估计有偏差。
Simulations were used to study the influence of model adequacy and data structure on the estimation of genetic parameters for traits governed by direct and maternal effects. To test model adequacy, several data sets were simulated according to different underlying genetic assumptions and analysed by comparing the correct and incorrect models. Results showed that omission of one of the random effects leads to an incorrect decomposition of the other components. If maternal genetic effects exist but are neglected, direct heritability is overestimated, and sometimes more than double. The bias depends on the value of the genetic correlation between direct and maternal effects. To study the influence of data structure on the estimation of genetic parameters, several populations were simulated, with different degrees of known paternity and different levels of genetic connectedness between flocks. Results showed that the lack of connectedness affects estimates when flocks have different genetic means because no distinction can be made between genetic and environmental differences between flocks. In this case, direct and maternal heritabilities are under-estimated, whereas maternal environmental effects are overestimated. The insufficiency of pedigree leads to biased estimates of genetic parameters.