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Genetic analysis of mastitis in dairy cattle with a Bayesian threshold model

Published online by Cambridge University Press:  20 November 2017

H.N. Kadarmideen ,
R. Rekaya  and
D. Gianola
H.N. Kadarmideen
Affiliation:
Animal Breeding and Genetics Department, ABD, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
R. Rekaya
Affiliation:
Animal Breeding and Genetics Department, ABD, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
D. Gianola
Affiliation:
Animal Breeding and Genetics Department, ABD, Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG, UK
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Extract

Genetic parameters of mastitis are required in genetic selection for mastitis resistance. Excluding cows that are culled at an early stage of lactation due to mastitis from genetic parameter estimation may introduce culling bias. The use of linear models, suitable for continuous traits, is inappropriate for analysis of mastitis records because it is recorded as an all or none (binary) trait. Here, a Bayesian-threshold model with Markov chain Monte Carlo (MCMC) techniques was used to analyze mastitis data. The objective was to estimate genetic parameters of mastitis in first and all-lactation cows using complete or incomplete records on disease.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2000 , 2000 , pp. 16
Copyright
Copyright © The British Society of Animal Science 2000

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References

Pryce, J.E., Veerkamp, R.F., Thompson, R., Hill., W.G. and Simm, G. 1997. Genetic aspects of common health disorders and measures of fertility in Holstein Friesian dairy cattle. Animal Science 65: 353–360.Google Scholar