Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model
Milk, fat, and protein loss due to a new subclinical mastitis case may be economically important, and the objective of this study was to estimate this loss. The loss was estimated based on test-day (TD) cow records collected over a 1-yr period from 400 randomly selected Dutch dairy herds. After excl...
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| Veröffentlicht in: | Journal of dairy science 2009-02, Vol.92 (2), p.599-606 |
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| creator | Halasa, T. Nielen, M. De Roos, A.P.W. Van Hoorne, R. de Jong, G. Lam, T.J.G.M. van Werven, T. Hogeveen, H. |
| description | Milk, fat, and protein loss due to a new subclinical mastitis case may be economically important, and the objective of this study was to estimate this loss. The loss was estimated based on test-day (TD) cow records collected over a 1-yr period from 400 randomly selected Dutch dairy herds. After exclusion of records from cows with clinical mastitis, the data set comprised 251,647 TD records from 43,462 lactations of 39,512 cows. The analysis was carried out using a random regression test-day modeling approach that predicts the cow production at each TD based on the actual production at all previous TD. The definition of new subclinical mastitis was based on the literature and assumed a new subclinical case if somatic cell count (SCC) was >100,000cells/mL after a TD with SCC |
| doi_str_mv | 10.3168/jds.2008-1564 |
| format | Article |
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The loss was estimated based on test-day (TD) cow records collected over a 1-yr period from 400 randomly selected Dutch dairy herds. After exclusion of records from cows with clinical mastitis, the data set comprised 251,647 TD records from 43,462 lactations of 39,512 cows. The analysis was carried out using a random regression test-day modeling approach that predicts the cow production at each TD based on the actual production at all previous TD. The definition of new subclinical mastitis was based on the literature and assumed a new subclinical case if somatic cell count (SCC) was >100,000cells/mL after a TD with SCC <50,000cells/mL. A second data set was created by applying an adjustment to correct low SCC for the dilution effect when determining if the previous test-day SCC was <50,000cells/mL. Thereafter, the loss was estimated for records with SCC >100,000cells/mL. The production (milk, fat, or protein) losses were modeled as the difference between the actual and predicted production (milk, fat, or protein) at the TD of new subclinical mastitis, for 4,382 cow records, and 2,545 cow records after dilution correction. Primiparous cows were predicted to lose 0.31 (0.25–0.37) and 0.28 (0.20–0.35) kg of milk/d at an SCC of 200,000cells/mL, for unadjusted and adjusted low SCC, respectively. For the same SCC increase, multiparous cows were predicted to lose 0.58 (0.54–0.62) and 0.50 (0.44–0.56) kg of milk/d, respectively. Moreover, it was found that the greater the SCC increase above 100,000cells/mL, the greater the production losses. The estimated production losses were more precise than previously reported estimates.</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.2008-1564</identifier><identifier>PMID: 19164670</identifier><identifier>CODEN: JDSCAE</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Animal productions ; Animals ; Biological and medical sciences ; Cattle ; Dairying - methods ; Environmental Monitoring ; Fats - analysis ; Female ; Food industries ; Fundamental and applied biological sciences. Psychology ; Lactation ; Mastitis, Bovine - physiopathology ; Milk - chemistry ; Milk - secretion ; Milk and cheese industries. Ice creams ; Milk Proteins - analysis ; Models, Biological ; Netherlands ; new case ; production loss ; subclinical mastitis ; Terrestrial animal productions ; test-day model ; Vertebrates</subject><ispartof>Journal of dairy science, 2009-02, Vol.92 (2), p.599-606</ispartof><rights>2009 American Dairy Science Association</rights><rights>2009 INIST-CNRS</rights><rights>Copyright American Dairy Science Association Feb 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c465t-442f965c213870db079888ea52ac81dd36d7419e087bbacc648a8a27f69ccdea3</citedby><cites>FETCH-LOGICAL-c465t-442f965c213870db079888ea52ac81dd36d7419e087bbacc648a8a27f69ccdea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0022030209703649$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21262515$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19164670$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Halasa, T.</creatorcontrib><creatorcontrib>Nielen, M.</creatorcontrib><creatorcontrib>De Roos, A.P.W.</creatorcontrib><creatorcontrib>Van Hoorne, R.</creatorcontrib><creatorcontrib>de Jong, G.</creatorcontrib><creatorcontrib>Lam, T.J.G.M.</creatorcontrib><creatorcontrib>van Werven, T.</creatorcontrib><creatorcontrib>Hogeveen, H.</creatorcontrib><title>Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model</title><title>Journal of dairy science</title><addtitle>J Dairy Sci</addtitle><description>Milk, fat, and protein loss due to a new subclinical mastitis case may be economically important, and the objective of this study was to estimate this loss. The loss was estimated based on test-day (TD) cow records collected over a 1-yr period from 400 randomly selected Dutch dairy herds. After exclusion of records from cows with clinical mastitis, the data set comprised 251,647 TD records from 43,462 lactations of 39,512 cows. The analysis was carried out using a random regression test-day modeling approach that predicts the cow production at each TD based on the actual production at all previous TD. The definition of new subclinical mastitis was based on the literature and assumed a new subclinical case if somatic cell count (SCC) was >100,000cells/mL after a TD with SCC <50,000cells/mL. A second data set was created by applying an adjustment to correct low SCC for the dilution effect when determining if the previous test-day SCC was <50,000cells/mL. Thereafter, the loss was estimated for records with SCC >100,000cells/mL. The production (milk, fat, or protein) losses were modeled as the difference between the actual and predicted production (milk, fat, or protein) at the TD of new subclinical mastitis, for 4,382 cow records, and 2,545 cow records after dilution correction. Primiparous cows were predicted to lose 0.31 (0.25–0.37) and 0.28 (0.20–0.35) kg of milk/d at an SCC of 200,000cells/mL, for unadjusted and adjusted low SCC, respectively. For the same SCC increase, multiparous cows were predicted to lose 0.58 (0.54–0.62) and 0.50 (0.44–0.56) kg of milk/d, respectively. Moreover, it was found that the greater the SCC increase above 100,000cells/mL, the greater the production losses. The estimated production losses were more precise than previously reported estimates.</description><subject>Animal productions</subject><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Cattle</subject><subject>Dairying - methods</subject><subject>Environmental Monitoring</subject><subject>Fats - analysis</subject><subject>Female</subject><subject>Food industries</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Lactation</subject><subject>Mastitis, Bovine - physiopathology</subject><subject>Milk - chemistry</subject><subject>Milk - secretion</subject><subject>Milk and cheese industries. Ice creams</subject><subject>Milk Proteins - analysis</subject><subject>Models, Biological</subject><subject>Netherlands</subject><subject>new case</subject><subject>production loss</subject><subject>subclinical mastitis</subject><subject>Terrestrial animal productions</subject><subject>test-day model</subject><subject>Vertebrates</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kM9PHCEYhklTU7e2R68NadLjKDDDr6PRapuY1EN7JswH47KZGRQYN_vfy2Y39eSJAA_v9_IgdE7JRUuFuty4fMEIUQ3lovuAVpQz3rRUq49oRQhjDWkJO0Wfc97ULWWEf0KnVFPRCUlWCB5SdAuUEGc8xpyxWzwuEc9-i_PSwxjmAHbEk80llJBxmPHNUmCNnQ1phyFuM_b1brLFO7wNZY0tLvWkcXaHp-j8-AWdDHbM_utxPUP_bn_-vf7V3P-5-319dd9AJ3hpuo4NWnBgtFWSuJ5IrZTyljMLijrXCic7qj1Rsu8tgOiUVZbJQWgA5217hr4fcp9SfF5qBbOJS5rrSEM1V62UnFWoOUCQ6neTH8xTquXTzlBi9kZNNWr2Rs3eaOW_HUOXfvLujT4qrMCPI2BzNTUkO0PI_7mqXDBO-Ru3Do_rbUje5MmOY42l-5GaGWa41pWTB85XVS_BJ5Mh-Bm8q2-gGBfDO1VfAWp4nnA</recordid><startdate>20090201</startdate><enddate>20090201</enddate><creator>Halasa, T.</creator><creator>Nielen, M.</creator><creator>De Roos, A.P.W.</creator><creator>Van Hoorne, R.</creator><creator>de Jong, G.</creator><creator>Lam, T.J.G.M.</creator><creator>van Werven, T.</creator><creator>Hogeveen, H.</creator><general>Elsevier Inc</general><general>Am Dairy Sci Assoc</general><general>Elsevier</general><general>American Dairy Science Association</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</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>3V.</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>S0X</scope></search><sort><creationdate>20090201</creationdate><title>Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model</title><author>Halasa, T. ; Nielen, M. ; De Roos, A.P.W. ; Van Hoorne, R. ; de Jong, G. ; Lam, T.J.G.M. ; van Werven, T. ; Hogeveen, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c465t-442f965c213870db079888ea52ac81dd36d7419e087bbacc648a8a27f69ccdea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Animal productions</topic><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>Cattle</topic><topic>Dairying - methods</topic><topic>Environmental Monitoring</topic><topic>Fats - analysis</topic><topic>Female</topic><topic>Food industries</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Lactation</topic><topic>Mastitis, Bovine - physiopathology</topic><topic>Milk - chemistry</topic><topic>Milk - secretion</topic><topic>Milk and cheese industries. Ice creams</topic><topic>Milk Proteins - analysis</topic><topic>Models, Biological</topic><topic>Netherlands</topic><topic>new case</topic><topic>production loss</topic><topic>subclinical mastitis</topic><topic>Terrestrial animal productions</topic><topic>test-day model</topic><topic>Vertebrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Halasa, T.</creatorcontrib><creatorcontrib>Nielen, M.</creatorcontrib><creatorcontrib>De Roos, A.P.W.</creatorcontrib><creatorcontrib>Van Hoorne, R.</creatorcontrib><creatorcontrib>de Jong, G.</creatorcontrib><creatorcontrib>Lam, T.J.G.M.</creatorcontrib><creatorcontrib>van Werven, T.</creatorcontrib><creatorcontrib>Hogeveen, H.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>SIRS Editorial</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Halasa, T.</au><au>Nielen, M.</au><au>De Roos, A.P.W.</au><au>Van Hoorne, R.</au><au>de Jong, G.</au><au>Lam, T.J.G.M.</au><au>van Werven, T.</au><au>Hogeveen, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model</atitle><jtitle>Journal of dairy science</jtitle><addtitle>J Dairy Sci</addtitle><date>2009-02-01</date><risdate>2009</risdate><volume>92</volume><issue>2</issue><spage>599</spage><epage>606</epage><pages>599-606</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><coden>JDSCAE</coden><abstract>Milk, fat, and protein loss due to a new subclinical mastitis case may be economically important, and the objective of this study was to estimate this loss. The loss was estimated based on test-day (TD) cow records collected over a 1-yr period from 400 randomly selected Dutch dairy herds. After exclusion of records from cows with clinical mastitis, the data set comprised 251,647 TD records from 43,462 lactations of 39,512 cows. The analysis was carried out using a random regression test-day modeling approach that predicts the cow production at each TD based on the actual production at all previous TD. The definition of new subclinical mastitis was based on the literature and assumed a new subclinical case if somatic cell count (SCC) was >100,000cells/mL after a TD with SCC <50,000cells/mL. A second data set was created by applying an adjustment to correct low SCC for the dilution effect when determining if the previous test-day SCC was <50,000cells/mL. Thereafter, the loss was estimated for records with SCC >100,000cells/mL. The production (milk, fat, or protein) losses were modeled as the difference between the actual and predicted production (milk, fat, or protein) at the TD of new subclinical mastitis, for 4,382 cow records, and 2,545 cow records after dilution correction. Primiparous cows were predicted to lose 0.31 (0.25–0.37) and 0.28 (0.20–0.35) kg of milk/d at an SCC of 200,000cells/mL, for unadjusted and adjusted low SCC, respectively. For the same SCC increase, multiparous cows were predicted to lose 0.58 (0.54–0.62) and 0.50 (0.44–0.56) kg of milk/d, respectively. Moreover, it was found that the greater the SCC increase above 100,000cells/mL, the greater the production losses. The estimated production losses were more precise than previously reported estimates.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>19164670</pmid><doi>10.3168/jds.2008-1564</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Animal productions Animals Biological and medical sciences Cattle Dairying - methods Environmental Monitoring Fats - analysis Female Food industries Fundamental and applied biological sciences. Psychology Lactation Mastitis, Bovine - physiopathology Milk - chemistry Milk - secretion Milk and cheese industries. Ice creams Milk Proteins - analysis Models, Biological Netherlands new case production loss subclinical mastitis Terrestrial animal productions test-day model Vertebrates |
| title | Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model |
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