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Prediction of the reproductive status of cattle on the basis of milk progesterone measures

Published online by Cambridge University Press:  23 November 2017

N. C. Friggens ,
G. Mizeck  and
G. Chagunda
N. C. Friggens*
Affiliation:
Danish Institute of Agricultural Sciences, Dept of Animal Health and Welfare, Research Center Foulum, DK-8830 Tjele, Denmark Groupe de Recherche en Ecologie Comportementale et Animale (GRECA), Département des Sciences Biologiques, Université du Québec à Montréal, Montréal, Québec H3C 3P8, Canada
G. Mizeck
Affiliation:
Danish Institute of Agricultural Sciences, Dept of Animal Health and Welfare, Research Center Foulum, DK-8830 Tjele, Denmark
G. Chagunda
Affiliation:
Danish Institute of Agricultural Sciences, Dept of Animal Health and Welfare, Research Center Foulum, DK-8830 Tjele, Denmark
*
Email: [email protected]
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Extract

The trend of increasing cow numbers per husbandry person makes it difficult to achieve good reproductive management by traditional means. A system to predict the reproductive status of cows would be of great value. There exist time-series models for detecting oestrus from milk traits other than progesterone and decision strategies for interpreting progesterone measures have been suggested but a system combining these aspects to predict not just oestrus but reproductive status throughout the reproductive cycle is lacking. The objective of this study was to develop such a model on the basis of automated milk progesterone sampling.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2005 , 2005 , pp. 40
Copyright
Copyright © The British Society of Animal Science 2005

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