Cheverud revisited: Scope for joint modelling of genetic and environmental covariance matrices

Author(s)
Meyer, Karin
Kirkpatrick, Mark
Publication Date
2009
Abstract
Multivariate estimation fitting a common structure to estimates of genetic and environmental covariance matrices is examined in a simple simulation study. It is shown that such parsimonious estimation can considerably reduce sampling variation. However, if the assumption of similarity in structure does not hold at least approximately, bias in estimates of the genetic covariance matrix can be substantial. For small samples and more than a few traits, structured estimation is likely to reduce mean square error even if bias is quite large. Hence such models should be used cautiously.
Citation
Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.18, p. 438-441
ISBN
9780646521039
ISSN
1328-3227
Link
https://hdl.handle.net/1959.11/5247
Language
en
Publisher
Association for the Advancement of Animal Breeding and Genetics (AAABG)
Title
Cheverud revisited: Scope for joint modelling of genetic and environmental covariance matrices
Type of document
Conference Publication
Entity Type
Publication

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