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A comparison of the efficiency of the repeatability model on observed or transformed yields to a multi-variate analysis

Published online by Cambridge University Press:  20 November 2017

R Mrode
Affiliation:
Animal Data Centre Lavrock Lane, Scots Hill, Rickmansworth, Herts
G J T Swanson
Affiliation:
Animal Data Centre Lavrock Lane, Scots Hill, Rickmansworth, Herts
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Extract

A multi-variate animal model Best Linear Unbiased Prediction (BLUP) on milk, fat and protein yields in different lactations, as different traits, is the optimum method for genetic evaluation in dairy cattle for production. However, this is computationally demanding and usually a repeatability model is performed separately for milk, fat and protein yields. A simulation study by Visscher (1991) showed that the repeatability model on canonical transformed yield rather than on observed yield was a better approximation to a multi-variate analysis using selection index. The aim of this study is to verify, using an animal model, the efficiency of the repeatability model relative to a multi-variate analysis on observed or transformed yields.

Type
Genetics & Cattle Improvement
Copyright
Copyright © The British Society of Animal Science 1995

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References

Mrode, R A (1993) - Approximation to multi-variate genetic evaluations: a simulation study - Journal of Agricultural Science, Cambridge 121 : 131134 (Abstr)Google Scholar
Visscher, P M (1991) - Estimation of Genetic Parameters in Dairy Cattle Using an Animal Model and Implications for Genetic Improvement. PhD Thesis - University of Edinburgh 1991.Google Scholar