Prediction of intramammary infection status across the dry period from lifetime cow records
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...
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| Veröffentlicht in: | Journal of dairy science 2016-07, Vol.99 (7), p.5586-5595 |
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| container_title | Journal of dairy science |
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| creator | Henderson, A.C. Hudson, C.D. Bradley, A.J. Sherwin, V.E. Green, M.J. |
| description | 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 ( |
| doi_str_mv | 10.3168/jds.2015-10684 |
| format | Article |
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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 (<200,000 cells/mL) at the last test day before drying off. Milk recording data collected between September 1994 and July 2014 from 114 herds in the United Kingdom were used. Two 2-level random effects models were built and both cure and new IMI were used as outcome variables in separate models. Cows with a smaller proportion of test days with a high SCC in the lactation before drying off, a smaller proportion of test days recording a high SCC in the lactation before the current lactation, of lower parity, producing less milk before drying off, of lower days in milk at drying off, and of lower SCC just before drying off were more likely to cure across the dry period. Dry period length had no effect on the likelihood of cure. Individual cows with a smaller proportion of test days recording a high SCC in the lactation before the current, of lower parity, of lower milk production at drying off, and fewer days in milk at drying off were less likely to develop a new IMI. Dry period length was found to have no effect on the probability of new IMI. Model predictions showed that a high level of discrimination was possible between cows with a high and low risk of both cures and new infections across the dry period.</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.2015-10684</identifier><identifier>PMID: 27108166</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Animals ; Cattle ; Cell Count - veterinary ; cure ; dry period ; Female ; Lactation ; Mammary Glands, Animal ; mastitis ; Mastitis, Bovine - epidemiology ; Mastitis, Bovine - prevention & control ; Milk ; new infection ; somatic cell count</subject><ispartof>Journal of dairy science, 2016-07, Vol.99 (7), p.5586-5595</ispartof><rights>2016 American Dairy Science Association</rights><rights>Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-8ad95f74456b4dd3540b568a4ab6c04bb4e4e88c7ad92fa66ec6c9ca7a3fd7a23</citedby><cites>FETCH-LOGICAL-c384t-8ad95f74456b4dd3540b568a4ab6c04bb4e4e88c7ad92fa66ec6c9ca7a3fd7a23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.3168/jds.2015-10684$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27108166$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Henderson, A.C.</creatorcontrib><creatorcontrib>Hudson, C.D.</creatorcontrib><creatorcontrib>Bradley, A.J.</creatorcontrib><creatorcontrib>Sherwin, V.E.</creatorcontrib><creatorcontrib>Green, M.J.</creatorcontrib><title>Prediction of intramammary infection status across the dry period from lifetime cow records</title><title>Journal of dairy science</title><addtitle>J Dairy Sci</addtitle><description>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 (<200,000 cells/mL) at the last test day before drying off. Milk recording data collected between September 1994 and July 2014 from 114 herds in the United Kingdom were used. Two 2-level random effects models were built and both cure and new IMI were used as outcome variables in separate models. Cows with a smaller proportion of test days with a high SCC in the lactation before drying off, a smaller proportion of test days recording a high SCC in the lactation before the current lactation, of lower parity, producing less milk before drying off, of lower days in milk at drying off, and of lower SCC just before drying off were more likely to cure across the dry period. Dry period length had no effect on the likelihood of cure. Individual cows with a smaller proportion of test days recording a high SCC in the lactation before the current, of lower parity, of lower milk production at drying off, and fewer days in milk at drying off were less likely to develop a new IMI. Dry period length was found to have no effect on the probability of new IMI. Model predictions showed that a high level of discrimination was possible between cows with a high and low risk of both cures and new infections across the dry period.</description><subject>Animals</subject><subject>Cattle</subject><subject>Cell Count - veterinary</subject><subject>cure</subject><subject>dry period</subject><subject>Female</subject><subject>Lactation</subject><subject>Mammary Glands, Animal</subject><subject>mastitis</subject><subject>Mastitis, Bovine - epidemiology</subject><subject>Mastitis, Bovine - prevention & control</subject><subject>Milk</subject><subject>new infection</subject><subject>somatic cell count</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE1PAyEQhonR2Fq9ejQcvWwFlmXZo2n8Skz0oCcPhIUh0nRLBarx30s_9OZpMpln3uR9EDqnZFpTIa_mNk0ZoU1FiZD8AI1pw5qqpp08RGNCGKtITdgInaQ0LytlpDlGI9ZSIqkQY_T2HMF6k31Y4uCwX-aoBz0MOn6XxcHukrLO64S1iSElnN8B23JfQfTBYhfDgBfeQfYDYBO-cAQTok2n6MjpRYKz_Zyg19ubl9l99fh09zC7fqxMLXmupLZd41rOG9Fza-uGk74RUnPdC0N433PgIKVpC8ecFgKMMJ3Rra6dbTWrJ-hyl7uK4WMNKavBJwOLhV5CWCdF266VouM1Keh0h26bRHBqFf2mrKJEbYSqIlRthKqt0PJwsc9e9wPYP_zXYAHkDoDS8NNDVMl4WJpitWjIygb_X_YPatOGMg</recordid><startdate>201607</startdate><enddate>201607</enddate><creator>Henderson, A.C.</creator><creator>Hudson, C.D.</creator><creator>Bradley, A.J.</creator><creator>Sherwin, V.E.</creator><creator>Green, M.J.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201607</creationdate><title>Prediction of intramammary infection status across the dry period from lifetime cow records</title><author>Henderson, A.C. ; Hudson, C.D. ; Bradley, A.J. ; Sherwin, V.E. ; Green, M.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-8ad95f74456b4dd3540b568a4ab6c04bb4e4e88c7ad92fa66ec6c9ca7a3fd7a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Animals</topic><topic>Cattle</topic><topic>Cell Count - veterinary</topic><topic>cure</topic><topic>dry period</topic><topic>Female</topic><topic>Lactation</topic><topic>Mammary Glands, Animal</topic><topic>mastitis</topic><topic>Mastitis, Bovine - epidemiology</topic><topic>Mastitis, Bovine - prevention & control</topic><topic>Milk</topic><topic>new infection</topic><topic>somatic cell count</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Henderson, A.C.</creatorcontrib><creatorcontrib>Hudson, C.D.</creatorcontrib><creatorcontrib>Bradley, A.J.</creatorcontrib><creatorcontrib>Sherwin, V.E.</creatorcontrib><creatorcontrib>Green, M.J.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Henderson, A.C.</au><au>Hudson, C.D.</au><au>Bradley, A.J.</au><au>Sherwin, V.E.</au><au>Green, M.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of intramammary infection status across the dry period from lifetime cow records</atitle><jtitle>Journal of dairy science</jtitle><addtitle>J Dairy Sci</addtitle><date>2016-07</date><risdate>2016</risdate><volume>99</volume><issue>7</issue><spage>5586</spage><epage>5595</epage><pages>5586-5595</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><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 (<200,000 cells/mL) at the last test day before drying off. Milk recording data collected between September 1994 and July 2014 from 114 herds in the United Kingdom were used. Two 2-level random effects models were built and both cure and new IMI were used as outcome variables in separate models. Cows with a smaller proportion of test days with a high SCC in the lactation before drying off, a smaller proportion of test days recording a high SCC in the lactation before the current lactation, of lower parity, producing less milk before drying off, of lower days in milk at drying off, and of lower SCC just before drying off were more likely to cure across the dry period. Dry period length had no effect on the likelihood of cure. Individual cows with a smaller proportion of test days recording a high SCC in the lactation before the current, of lower parity, of lower milk production at drying off, and fewer days in milk at drying off were less likely to develop a new IMI. Dry period length was found to have no effect on the probability of new IMI. Model predictions showed that a high level of discrimination was possible between cows with a high and low risk of both cures and new infections across the dry period.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27108166</pmid><doi>10.3168/jds.2015-10684</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Animals Cattle Cell Count - veterinary cure dry period Female Lactation Mammary Glands, Animal mastitis Mastitis, Bovine - epidemiology Mastitis, Bovine - prevention & control Milk new infection somatic cell count |
| title | Prediction of intramammary infection status across the dry period from lifetime cow records |
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