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首页> 外文期刊>Aquaculture >Evaluation of statistical models for genetic analysis of challenge-test data on ISA resistance in Atlantic salmon (Salmo salar): prediction of progeny survival.
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Evaluation of statistical models for genetic analysis of challenge-test data on ISA resistance in Atlantic salmon (Salmo salar): prediction of progeny survival.

机译:对大西洋鲑鱼(Salmo salar)的ISA抗性挑战测试数据进行遗传分析的统计模型的评估:后代存活率的预测。

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Using cross-sectional models, moderate to high heritabilities were estimated for ISA resistance both on the observable scale, using a linear model (0.21), and on the underlying scale, using a threshold model (0.32). Estimated test-day heritability was low (0.01) on the observable scale (linear model), but moderate (0.16) on the underlying scale (logit model). Relatively small differences were observed with respect to predictive ability for the different models. Still, the results suggested that test-day models for survival may improve accuracy of selection by 10-12% over what can be obtained by cross-sectional models..
机译:使用横截面模型,使用线性模型(0.21)在可观察范围内和使用阈值模型(0.32)在基础规模上估算ISA抗性的中度至高遗传性。在可观察的量表(线性模型)上,估计的测试日遗传力较低(0.01),但在基础量表(logit模型)上则中等(0.16)。在不同模型的预测能力方面,观察到相对较小的差异。尽管如此,结果表明,针对生存期的测试日模型可能会比横截面模型获得的结果提高10-12%的选择准确性。

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