Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/3081
Title: Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML
Contributor(s): Fischer, Troy (author); Gilmour, A. (author); Van Der Werf, Julius Herman (author)orcid 
Publication Date: 2004
DOI: 10.1051/gse:2004006
Handle Link: https://hdl.handle.net/1959.11/3081
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.
Publication Type: Journal Article
Source of Publication: Genetics Selection Evolution, v.36, p. 363-369
Publisher: EDP Sciences
Place of Publication: France
ISSN: 0999-193X
Field of Research (FOR): 070206 Animal Reproduction
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science

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