Direct and maternal additive genetic and mitochondrial variances of duck meat performancetraits were estimated using AI-REML algorithm. Records of 3 099 (5 010 pedigreed birds) fromsix consecutive generations were included. The following four traits were investigated: bodyweight at 3rd week, body weight at 7th week, sternum crest length at 7th week (in cm), andbreast muscles thickness at 7th week (in cm). The data were analysed via three single traitlinear animal models: I – additive genetic model, II – model extended to additive maternaleffects; III– as model II with mitochondrial effects as random. Adequacy of the models wasexamined by Akaike´s information criterion (AIC). Relatively high direct additive heritabilityestimates were obtained for body weight at 3rd week (0.4326–0.4546) and body weight at7th week (0.5322–0.6088) whereas lower estimates were obtained for sternum crest length(0.1756–0.2744) and breast muscles thickness (0.1369–0.2932). The maternal heritabilities weremoderate and also considerably depended on the model used. For all of the studied traits anegative covariance between direct and maternal genetic effects was found. Mitochondrialheritabilities were very low. Generally, on the basis of criteria employed, the model III can besuggested for analysis of body weight whereas for other traits model II seems to be suitable.
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机译：利用AI-REML算法估算了鸭肉性能性状的直接和母体遗传遗传和线粒体变异。包括连续六个世代的3 099羽（5 010羽纯种鸟）记录。研究了以下四个特征：第3周的体重，第7周的体重，第7周的胸骨冠长（以厘米为单位）和第7周的胸肌厚度（以厘米为单位）。通过三个单性状线性动物模型分析数据：I –加性遗传模型，II –扩展至加性母体效应的模型； III –作为II型，线粒体效应随机。 Akaike的信息标准（AIC）检验了模型的充分性。第3周的体重（0.4326–0.4546）和第7周的体重（0.5322–0.6088）获得了相对较高的直接加和遗传力估计值，而胸骨冠长（0.1756-0.2744）和胸肌厚度（0.1369-0.2932）的估计值较低）。产妇的遗传力中等，也很大程度上取决于所使用的模型。对于所有研究的性状，发现了直接遗传效应和母体遗传效应之间的负协方差。线粒体遗传力很低。通常，根据所采用的标准，可以建议使用模型III进行体重分析，而对于其他特征，模型II似乎是合适的。
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