Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML |
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| Authors: | Troy M Fischer Arthur R Gilmour Julius HJ van der Werf |
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| Affiliation: | 1.School of Rural Science and Agriculture, University of New England, Armidale, NSW, 2351, Australia;2.NSW Agriculture, Orange Agricultural Institute, Orange, NSW, 2800, Australia;3.Australian Sheep Industry CRC |
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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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| Keywords: | random regression heritability approximate standard error genetic parameter residual maximum likelihood |
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