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

Title
Computing approximate standard errors for genetic parameters derived from random regression models fitted by average information REML
Publication Date
2004
Author(s)
Fischer, Troy
Gilmour, A.
Van Der Werf, Julius Herman
( author )
OrcID: https://orcid.org/0000-0003-2512-1696
Email: jvanderw@une.edu.au
UNE Id une-id:jvanderw
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
INRA, EDP Sciences
Place of publication
France
DOI
10.1051/gse:2004006
UNE publication id
une:3164
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.
Link
link
Citation
Genetics Selection Evolution, v.36, p. 363-369
ISSN
1297-9686
0999-193X
Start page
363
End page
369

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