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The effect of stage of growth on the genetic and phenotypic parameter estimates of food intake in pigs using a covariance function model

Published online by Cambridge University Press:  20 November 2017

A.D. Hall
Affiliation:
Cotswold Pig Development Company, Rothwell, Lincolnshire, LN7 6BJ
P.R. Bampton
Affiliation:
Cotswold Pig Development Company, Rothwell, Lincolnshire, LN7 6BJ
A.J. Webb
Affiliation:
Cotswold Pig Development Company, Rothwell, Lincolnshire, LN7 6BJ
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Extract

Many traits that are of interest to breeders, such as food intake, are expressed continuously during the life of an animal and the individual's phenotype will change with age. Traditional genetic analysis of these traits has treated as them as discrete traits, ignoring the correlations among records at different ages. Recently methods have been developed to overcome this deficiency and allow an infinite dimensional approach, which can provide more accurate estimates of genetic and phenotypic parameters (Kirkpatrick et al. 1994, Meyer and Hill 1997). The aim of this study was to investigate the effect of stage of growth on the genetic and phenotypic parameter estimates of daily food intake.

Type
Theatre Presentations
Copyright
Copyright © The British Society of Animal Science 2000

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References

Hall, A.D., Hill, W.G., Bampton, P.R. and Webb, A.J. 1999 Genetic and phenotypic parameter estimates for feeding pattern and performance test traits in pigs. Animal Science. 68: 1: 4348 Google Scholar
Kirkpatrick, M., Hill, W.G. and Thompson, R., 1994 Estimating the covariance structure of traits during growth and ageing, illustrated with lactation in dairy cattle. Genetical Research. 64: 5769 Google Scholar
Meyer, K. 1997 An average information Restricted Maximum Likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices. Genetics, Selection, Evolution. 29: 97116 Google Scholar
Meyer, K. and Hill, W.G. 1997 Estimation of genetic and phenotypic covariance functions for longitudinal or repeated records by restricted maximum likelihood. Livestock Production Science. 47: 185200 Google Scholar