A three-trait statistical model was designed for backfat thickness (BFT) and loin eye muscle depth (LMD) with accompanying variable average daily gain (ADG). Data from 82,507 Czech Large White and 37,556 Czech Landrace pigs were collected during on-farm performance testing from 2013 to 2022. Several animal models were tested with different combinations of effects and complexity. Model performance was evaluated by the linear regression (LR) method and predictivity. In Czech Large White, the preferred model comprised fixed effects of sex, birth year, herd, and ultrasound device, as well as random effects of herd-year-season (HYS), litter, and animal. In Czech Landrace, HYS was treated as fixed instead. The inclusion of maternal effects was not supported due to questionable impact on the main statistics. The selected model yielded mean absolute bias of 0.11 and 0.19, mean determination of 0.39 and 0.21, mean population accuracy of 0.36 and 0.31, and mean predictivity of 0.13 and 0.08 in Large White and Landrace, respectively. Heritability estimates were overall lower than those reported by other authors: 0.23, 0.10, and 0.10 in Large White and 0.26, 0.10, and 0.09 in Landrace for ADG, BFT, and LMD, respectively. Genetic correlations, on the other hand, reached relatively high values: 0.61, 0.61, and 0.66 in Large White and 0.71, 0.92, and 0.70 in Landrace for ADG-BFT, ADG-LMD, and BFT-LMD, respectively.

中文翻译：

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选择适当的统计模型来估计遗传参数：捷克母猪品种的案例研究

针对背膘厚度（BFT）和腰眼肌肉深度（LMD）以及伴随的可变平均日增重（ADG）设计了三性状统计模型。在 2013 年至 2022 年的农场生产性能测试中，收集了 82,507 头捷克大白猪和 37,556 头捷克长白猪的数据。对几种动物模型进行了不同效果和复杂性组合的测试。通过线性回归（LR）方法和预测性评估模型性能。在捷克大白猫中，首选模型包括性别、出生年份、牛群和超声设备的固定效应，以及牛群年份季节 (HYS)、窝窝和动物的随机效应。在捷克长白猪中，HYS 被视为固定的。由于对主要统计数据的影响值得怀疑，因此不支持将孕产妇影响纳入其中。所选模型在大白猪和长白猪中的平均绝对偏差分别为 0.11 和 0.19，平均测定值为 0.39 和 0.21，平均群体准确度为 0.36 和 0.31，平均预测率为 0.13 和 0.08。遗传力估计值总体低于其他作者报告的值：大白猪的 ADG、BFT 和 LMD 分别为 0.23、0.10 和 0.10，长白猪的遗传力分别为 0.26、0.10 和 0.09。另一方面，遗传相关性达到相对较高的值：ADG-BFT、ADG-LMD 和 BFT-LMD 在大白花中分别为 0.61、0.61 和 0.66，在长白花中分别为 0.71、0.92 和 0.70。