Work

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

Year: 2009

Type: conference-paper

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.

Source: RUNE (Research UNE)

Authors: Karin Meyer, Mark Kirkpatrick

Language: English

Topic: Genetic and phenotypic traits in livestock

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, Meat and Livestock Australia

Awards: Function-valued Traits in Natural Populations: Variation, Selection, and Evolution, Chromosome evolution: Models and tests

OpenAlex ID: W1768332063

FWCI: 2.233

Cites:

Cited by: 1

Related to: 10