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首页> 美国卫生研究院文献>Journal of Animal Science >Optimizing design to estimate genetic correlations between environments with common environmental effects
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Optimizing design to estimate genetic correlations between environments with common environmental effects

机译：优化设计以估计具有常见环境影响的环境之间的遗传相关性

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Breeding programs for different species aim to improve performance by testing members of full-sib ( ) and half-sib ( ) families in different environments. When genotypes respond differently to changes in the environment, this is defined as genotype by environment (G × E) interaction. The presence of common environmental effects within families generates covariance between siblings, and these effects should be taken into account when estimating a genetic correlation. Therefore, an optimal design should be established to accurately estimate the genetic correlation between environments in the presence of common environmental effects. We used stochastic simulation to find the optimal population structure using a combination of FS and HS groups with different levels of common environmental effects. Results show that in a population with a constant population size of 2,000 individuals per environment, ignoring common environmental effects when they are present in the population will lead to an upward bias in the estimated genetic correlation of on average 0.3 when the true genetic correlation is 0.5. When no common environmental effects are present in the population, the lowest standard error ( ) of the estimated genetic correlation was observed with a mating ratio of one dam per sire, and 10 offspring per sire per environment. When common environmental effects are present in the population and are included in the model, the lowest SE is obtained with mating ratios of at least 5 dams per sire and with a minimum number of 10 offspring per sire per environment. We recommend that studies that aim to estimate the magnitude of G × E in pigs, chicken, and fish should acknowledge the potential presence of common environmental effects and adjust the mating ratio accordingly.
机译：针对不同物种的育种计划旨在通过在不同环境中测试全同胞（）和半同胞（）家族的成员来提高性能。当基因型对环境变化的反应不同时，这被定义为环境（G×E）相互作用的基因型。家庭内部存在共同的环境影响会在兄弟姐妹之间产生协方差，在估算遗传相关性时应考虑这些影响。因此，应该建立一个最佳设计，以在存在常见环境影响的情况下准确估算环境之间的遗传相关性。我们使用随机模拟通过结合具有不同水平的常见环境影响的FS和HS群体找到最佳的种群结构。结果表明，在一个恒定的人口规模为每个环境2,000个人的人口中，如果忽略人口中存在的常见环境影响，则当真实的遗传相关系数为0.5时，估计的遗传相关系数平均将上升0.3。 。当种群中不存在常见的环境影响时，则观察到的遗传相关性的最低标准误差（）最低，每个配种的配种比率为每只配种一个大坝，每个配种的配种为10个后代。如果种群中存在常见的环境影响并将其包括在模型中，则获得的最低SE的配比为每个父本至少5个大坝，每个环境每个父本最少10个后代。我们建议旨在估计猪，鸡和鱼中G×E大小的研究应认识到可能存在的常见环境影响，并相应地调整交配比率。

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