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Comparing biological and linear models to estimate milk yields and lactation curve parameters

Published online by Cambridge University Press:  23 November 2017

B. Albarran-Portillo  and
G. E. Pollott
B. Albarran-Portillo*
Affiliation:
Department of Agricultural Science, Imperial College London, Wye Campus, Wye Ashford. TN25 5AH, U.K.
G. E. Pollott
Affiliation:
Department of Agricultural Science, Imperial College London, Wye Campus, Wye Ashford. TN25 5AH, U.K.
*
Email: [email protected]
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Extract

The genetic evaluation of dairy cows is based primarily on milk production and its constituents. Many models have been developed and evaluated in order to estimate total milk yield (CTMY) and other characteristics of lactation curves. Frequently, the models are based on complex mathematical equations and their use demands a huge computational effort. The development of simple models as early predictors of TMY with a reasonable accuracy is important. The objective of this research was to compare the biological model described by Pollott (2000) with two linear models.

Type
Poster Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2005 , 2005 , pp. 113
Copyright
Copyright © The British Society of Animal Science 2005

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References

Pollott, G. E. 2000. A biological approach to lactation curve analysis for milk yield. Journal of Dairy Science, 83: 2448–2458.CrossRefGoogle ScholarPubMed
Pollott, G. E. and Gootwine, E. 2000. Appropriate mathematical models for describing the complete lactation of dairy sheep. Animal Science 71: 197–207.CrossRefGoogle Scholar
SAS. 1989. SAS/STAT user’s guide Version 6, Fourth Edition, Volume 2, GLM-VARCOMP. SAS Institute Inc., Cary, NC, USA.Google Scholar