Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML.

Troy M Fischer; Arthur R Gilmour; Julius H J van der Werf

doi:10.1186/1297-9686-36-3-363

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Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML.

Troy M Fischer·Arthur R Gilmour·Julius H J van der Werf

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Abstract

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.

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Age Distribution Algorithms Animals Cattle Female Likelihood Functions Male Models, Genetic Random Allocation Regression Analysis Journal Article Research Support, Non-U.S. Gov't

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Troy M Fischer, Arthur R Gilmour, Julius H J van der Werf. Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML.. https://doi.org/10.1186/1297-9686-36-3-363

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