Estimating genetic covariance functions assuming a parametric correlation structure for environmental effects

Title
Estimating genetic covariance functions assuming a parametric correlation structure for environmental effects
Publication Date
2001
Author(s)
Meyer, Karin
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
BioMed Central Ltd
Place of publication
United Kingdom
DOI
10.1051/gse:2001102
UNE publication id
une:5128
Abstract
Arandom regression model for the analysis of "repeated" records in animal breeding is described which combines a random regression approach for additive genetic and other random effects with the assumption of a parametric correlation structure for within animal covariances. Both stationary and non-stationary correlation models involving a small number of parameters are considered. Heterogeneity in within animal variances is modelled through polynomial variance functions. Estimation of parameters describing the dispersion structure of such model by restricted maximum likelihood 'via' an "average information" algorithm is outlined. An application to mature weight records of beef cow is given, and results are contrasted to those from analyses fitting sets of random regression coefcients for permanent environmental effects.
Link
Citation
Genetics Selection Evolution, 33(6), p. 557-585
ISSN
1297-9686
0999-193X
Start page
557
End page
585

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