Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML
Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML
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DOI：
10.1051/gse:2004006
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发表时间：
2004-05-01
影响因子：
4.1
通讯作者：
van der Werf, JHJ
中科院分区：
文献类型：
--
作者：
Fischer, TM;Gilmour, AR;van der Werf, JHJ
从残差最大似然法得到的平均信息矩阵中计算出随机回归系数方差分量的近似标准误。这些系数的线性组合定义了轨迹给定点处的加性遗传方差的方差分量。因此，可以计算这些组分的ASE和由它们导出的遗传力。在我们的例子中，ASE在轨迹的末端附近较大。
Approximate standard errors (ASE) of variance components for random regression coefficients are calculated from the average information matrix obtained in a residual maximum likelihood procedure. Linear combinations of those coefficients define variance components for the additive genetic variance at given points of the trajectory. Therefore, ASE of these components and heritabilities derived from them can be calculated. In our example, the ASE were larger near the ends of the trajectory.