| Somatic cell count distributions during lactation predict clinical mastitis. | |
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MedLine Citation:
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PMID: 15290974 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This research investigated somatic cell count (SCC) records during lactation, with the purpose of identifying distribution characteristics (mean and measures of variation) that were most closely associated with clinical mastitis. Three separate data sets were used, one containing quarter SCC (n = 1444) and two containing cow SCC (n = 933 and 11,825). Clinical mastitis was defined as a binary outcome, present or absent, for each lactation, and SCC were log (base 10) transformed. A generalized linear mixed model within a Bayesian framework was used for analysis. Parameters were estimated using Markov Chain Monte Carlo with Gibbs sampling. Results from the 3 data sets were similar. Increased maximum and standard deviation log SCC during lactation, rather than increased geometric mean, were the best overall indicators of clinical mastitis. Distributions of SCC were also investigated separately for different mastitis pathogens. Increased maximum log SCC was associated with clinical mastitis caused by all pathogen types. Increased standard deviation log SCC was associated with Staphylococcus aureus, and Streptococcus uberis clinical mastitis and increased coefficient of variation log SCC (standard deviation divided by mean) was associated with Escherichia coli clinical mastitis. Increased geometric mean lactation SCC was associated with an increased risk of Staph. aureus clinical mastitis but a reduced risk of E. coli clinical mastitis. Our results suggest that using measures of variation and maximum cow SCC would enhance the accuracy of predicting clinical mastitis, compared with geometric mean SCC, and therefore improve genetic programs that aim to select for clinical mastitis resistance. The results are also consistent with low SCC increasing susceptibility to some mastitis pathogens. |
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Authors:
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M J Green; L E Green; Y H Schukken; A J Bradley; E J Peeler; H W Barkema; Y de Haas; V J Collis; G F Medley |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of dairy science Volume: 87 ISSN: 0022-0302 ISO Abbreviation: J. Dairy Sci. Publication Date: 2004 May |
Date Detail:
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Created Date: 2004-08-04 Completed Date: 2004-09-16 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 2985126R Medline TA: J Dairy Sci Country: United States |
Other Details:
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Languages: eng Pagination: 1256-64 Citation Subset: IM |
Affiliation:
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Ecology and Epidemiology Group, Department of Biological Sciences, University of Warwick, Coventry, UK. martingreen1000@ntlworld.com |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Animals Cattle Cell Count* Escherichia coli Infections Female Lactation* Mastitis, Bovine / diagnosis*, microbiology Milk / cytology* Models, Biological Staphylococcal Infections Streptococcal Infections |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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