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dc.contributor.authorBach, Kathryn
dc.contributor.authorMcArt, Jessica
dc.date.accessioned2018-07-11T16:35:49Z
dc.date.available2018-07-11T16:35:49Z
dc.date.issued2018-07-19
dc.identifier.urihttps://hdl.handle.net/1813/57411
dc.description.abstractMastitis is one of the most common and costly diseases facing the dairy industry today. Annually, over $2 billion are lost to mastitis alone, with an average per-case cost estimated at $444. Nearly two-thirds of these economic losses are attributed to the consequences of subclinical infections, which result in decreased milk production, increased discarded milk and lost milk premiums. In our study population, results showed that at the 200,000 cell/mL cut-point, composite sampling appeared to have similar effectiveness as quarter sampling to identify subclinically infected animals on a herd level. However, our results also suggest in a large population of first-lactation animals, a high proportion of coagulase negative staphylococci infections, or both, might play a large role in the effectiveness of this cut-point on herds, and optimal cut-points may vary between farms.en_US
dc.language.isoen_USen_US
dc.publisherProgressive Dairymanen_US
dc.subjectsomatic cellen_US
dc.subjectmastitisen_US
dc.subjectmilken_US
dc.subjectdairyen_US
dc.titleSomatic Cell Counts – Using the Magic 200,000 cells/mL Cut-Point to Diagnose Subclinical Mastitisen_US
dc.typearticleen_US


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