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Evaluation of animal models for genetic analysis of growth performance in Landlly pigs

机译:山地猪生长性能遗传分析的动物模型评价

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Selection of the most appropriate animal model for the estimation of genetic parameters for body weight was carried out using restricted maximum likelihood (REML) procedure at birth and thereafter at 3, 6, and 8 weeks of age in Landlly pigs. Six different models were fitted for each trait; by inclusion or exclusion of maternal additive genetic effect, maternal permanent environmental effect, and covariance between direct and maternal additive genetic effects. Records on 1968 piglets, born in 4 parities of 131 gilts/sows, sired by 68 boars during a period of 5 years from 2014 to 2018 were used. In order to determine the most appropriate model, Log likelihood values, log the likelihood ratio test and Akaike's information criterion were used. A model including direct additive genetic and maternal permanent environmental effects fitted best to data for birth weight. The best model explaining W3, W6, and W8 included direct additive genetic, maternal genetic and maternal permanent environmental effect with direct and maternal genetic covariance. Total heritability estimates for the body weights were low to moderate across best models.
机译:选择最合适的动物模型用于估计体重的遗传参数,在出生时使用受限制的最大可能性(REML)程序,然后在Landlly猪的3,6和8周龄。为每个特征安装六种不同的型号;通过纳入或排除母体添加剂遗传效应,孕产妇永久环境效应和直接和母体添加剂遗传效应之间的协方差。 1968年仔猪的记录,其中在131名吉尔茨/母猪中出生的4个地位,在2014年至2018年的5年内担任68辆公猪。为了确定最合适的模型,日志似然值,日志使用似然比测试和Akaike的信息标准。一种模型,包括直接添加遗传遗传和母体永久环境效应,其最适合出生体重数据。解释W3,W6和W8的最佳模型包括直接添加剂遗传,母体遗传和母体永久环境效应,具有直接和母体遗传协方差。体重的总遗传性估计估计低于适度的最佳模型。

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