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

Author(s): Fischer Troy | Gilmour Arthur | Werf Julius

Journal: Genetics Selection Evolution
ISSN 0999-193X

Volume: 36;
Issue: 3;
Start page: 363;
Date: 2004;
Original page

Keywords: random regression | heritability | approximate standard error | genetic parameter | residual maximum likelihood

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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