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Prediction of intramammary infection status across the dry period from lifetime cow records

Henderson, A.C.; Hudson, C.D.; Bradley, Andrew J.; Sherwin, V.E.; Green, Martin J.

Authors

A.C. Henderson

CHRISTOPHER HUDSON chris.hudson@nottingham.ac.uk
Professor of Dairy Herd Health and Production

V.E. Sherwin

MARTIN GREEN martin.green@nottingham.ac.uk
Professor of Cattle Health & Epidemiology



Abstract

The dry period is very important for mammary gland health, with the aim not only to cure existing intramammary infections (IMI) but also to prevent new IMI. Although it is known that the dry period is an important time for optimizing udder health, the probability that individual cows will succumb to a new IMI or, if infected, will fail to cure an IMI is not well established. The aim of this study was to investigate whether lifetime cow data, available through routine on-farm milk recording, could be used to predict changes in IMI status across the dry period for individual cows that were (1) deemed high somatic cell count (SCC; >199,000 cells/mL) or (2) low SCC (

Citation

Henderson, A., Hudson, C., Bradley, A. J., Sherwin, V., & Green, M. J. (2016). Prediction of intramammary infection status across the dry period from lifetime cow records. Journal of Dairy Science, 99(7), https://doi.org/10.3168/jds.2015-10684

Journal Article Type Article
Acceptance Date Mar 4, 2016
Online Publication Date Apr 20, 2016
Publication Date Jul 1, 2016
Deposit Date Sep 14, 2016
Publicly Available Date Sep 14, 2016
Journal Journal of Dairy Science
Print ISSN 0022-0302
Electronic ISSN 1525-3198
Publisher American Dairy Science Association
Peer Reviewed Peer Reviewed
Volume 99
Issue 7
DOI https://doi.org/10.3168/jds.2015-10684
Keywords dry period; cure; new infection; somatic cell count; mastitis
Public URL https://nottingham-repository.worktribe.com/output/976046
Publisher URL http://www.journalofdairyscience.org/article/S0022-0302(16)30191-6/fulltext

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