Bulk milk somatic cell counts are related to bulk milk total bacterial counts and several herd-level risk factors in dairy goats
The aim of this study was to describe the temporal variation in bulk milk somatic cell count (BMSCC) on Dutch dairy goat farms and to assess the correlation of BMSCC with bulk milk total bacterial counts (BMTBC) and with several herd management factors. Bulk milk somatic cell count and BMTBC data we...
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| Veröffentlicht in: | Journal of dairy science 2009-09, Vol.92 (9), p.4355-4364 |
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| description | The aim of this study was to describe the temporal variation in bulk milk somatic cell count (BMSCC) on Dutch dairy goat farms and to assess the correlation of BMSCC with bulk milk total bacterial counts (BMTBC) and with several herd management factors. Bulk milk somatic cell count and BMTBC data were recorded from 90% of the dairy goat farms in the Netherlands over the years 2005 to 2007. Farm characteristics and management information was collected by means of questionnaires. The bulk milk data and the questionnaire data were linked and linear mixed models were used to identify risk factors for increased BMSCC and BMTBC. Bulk milk somatic cell count was found to display a distinct pattern throughout the year, being highest around December and lowest around June. Bulk milk somatic cell count correlated to BMTBC (r = 0.4). Significant factors in the BMSCC model were month in lactation, treating mastitic animals instead of culling, caprine arthritis encephalitis status, milk fever prevalence, and liner material. Month in lactation and treating mastitic animals instead of culling were also significant in the BMTBC model. In the high-BMSCC period, a higher number of goats with an extended lactation significantly reduced the BMSCC. Thus, this study indicates that mastitis-related factors account for some of the variation in BMSCC and BMTBC levels between dairy goat herds. It shows that intramammary infection is probably the most important factor driving the correlation between BMSCC and BMTBC, suggesting that programs to improve udder health may have a positive effect on both BMSCC and BMTBC. |
| doi_str_mv | 10.3168/jds.2009-2106 |
| format | Article |
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Bulk milk somatic cell count and BMTBC data were recorded from 90% of the dairy goat farms in the Netherlands over the years 2005 to 2007. Farm characteristics and management information was collected by means of questionnaires. The bulk milk data and the questionnaire data were linked and linear mixed models were used to identify risk factors for increased BMSCC and BMTBC. Bulk milk somatic cell count was found to display a distinct pattern throughout the year, being highest around December and lowest around June. Bulk milk somatic cell count correlated to BMTBC (r = 0.4). Significant factors in the BMSCC model were month in lactation, treating mastitic animals instead of culling, caprine arthritis encephalitis status, milk fever prevalence, and liner material. Month in lactation and treating mastitic animals instead of culling were also significant in the BMTBC model. In the high-BMSCC period, a higher number of goats with an extended lactation significantly reduced the BMSCC. Thus, this study indicates that mastitis-related factors account for some of the variation in BMSCC and BMTBC levels between dairy goat herds. It shows that intramammary infection is probably the most important factor driving the correlation between BMSCC and BMTBC, suggesting that programs to improve udder health may have a positive effect on both BMSCC and BMTBC.</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.2009-2106</identifier><identifier>PMID: 19700695</identifier><identifier>CODEN: JDSCAE</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>animal husbandry ; Animal productions ; Animals ; Biological and medical sciences ; bulk milk ; caprine arthritis-encephalitis ; Cell Count ; Colony Count, Microbial ; culling (animals) ; dairy animals ; dairy goat ; dairy herd management ; dairy herds ; Dairying ; disease control ; disease prevalence ; Female ; Food industries ; Fundamental and applied biological sciences. Psychology ; Goat Diseases - microbiology ; Goats ; lactation ; liner material ; mammary gland diseases ; mastitis ; Mastitis - microbiology ; Mastitis - veterinary ; mathematical models ; medical treatment ; Milk - cytology ; Milk - microbiology ; Milk and cheese industries. Ice creams ; milk fever ; Models, Biological ; Netherlands ; plate count ; Risk Factors ; somatic cell count ; temporal variation ; Terrestrial animal productions ; total bacterial count ; Vertebrates</subject><ispartof>Journal of dairy science, 2009-09, Vol.92 (9), p.4355-4364</ispartof><rights>2009 American Dairy Science Association</rights><rights>2009 INIST-CNRS</rights><rights>Copyright American Dairy Science Association Sep 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c491t-f04d1d233e16e7c4c67bd8da5e5c548b30541bb9dfd86dec0a8b53a6f3be1d863</citedby><cites>FETCH-LOGICAL-c491t-f04d1d233e16e7c4c67bd8da5e5c548b30541bb9dfd86dec0a8b53a6f3be1d863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0022030209707593$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21834926$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19700695$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Koop, G</creatorcontrib><creatorcontrib>Nielen, M</creatorcontrib><creatorcontrib>van Werven, T</creatorcontrib><title>Bulk milk somatic cell counts are related to bulk milk total bacterial counts and several herd-level risk factors in dairy goats</title><title>Journal of dairy science</title><addtitle>J Dairy Sci</addtitle><description>The aim of this study was to describe the temporal variation in bulk milk somatic cell count (BMSCC) on Dutch dairy goat farms and to assess the correlation of BMSCC with bulk milk total bacterial counts (BMTBC) and with several herd management factors. Bulk milk somatic cell count and BMTBC data were recorded from 90% of the dairy goat farms in the Netherlands over the years 2005 to 2007. Farm characteristics and management information was collected by means of questionnaires. The bulk milk data and the questionnaire data were linked and linear mixed models were used to identify risk factors for increased BMSCC and BMTBC. Bulk milk somatic cell count was found to display a distinct pattern throughout the year, being highest around December and lowest around June. Bulk milk somatic cell count correlated to BMTBC (r = 0.4). Significant factors in the BMSCC model were month in lactation, treating mastitic animals instead of culling, caprine arthritis encephalitis status, milk fever prevalence, and liner material. Month in lactation and treating mastitic animals instead of culling were also significant in the BMTBC model. In the high-BMSCC period, a higher number of goats with an extended lactation significantly reduced the BMSCC. Thus, this study indicates that mastitis-related factors account for some of the variation in BMSCC and BMTBC levels between dairy goat herds. It shows that intramammary infection is probably the most important factor driving the correlation between BMSCC and BMTBC, suggesting that programs to improve udder health may have a positive effect on both BMSCC and BMTBC.</description><subject>animal husbandry</subject><subject>Animal productions</subject><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>bulk milk</subject><subject>caprine arthritis-encephalitis</subject><subject>Cell Count</subject><subject>Colony Count, Microbial</subject><subject>culling (animals)</subject><subject>dairy animals</subject><subject>dairy goat</subject><subject>dairy herd management</subject><subject>dairy herds</subject><subject>Dairying</subject><subject>disease control</subject><subject>disease prevalence</subject><subject>Female</subject><subject>Food industries</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Goat Diseases - microbiology</subject><subject>Goats</subject><subject>lactation</subject><subject>liner material</subject><subject>mammary gland diseases</subject><subject>mastitis</subject><subject>Mastitis - microbiology</subject><subject>Mastitis - veterinary</subject><subject>mathematical models</subject><subject>medical treatment</subject><subject>Milk - cytology</subject><subject>Milk - microbiology</subject><subject>Milk and cheese industries. 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Psychology</topic><topic>Goat Diseases - microbiology</topic><topic>Goats</topic><topic>lactation</topic><topic>liner material</topic><topic>mammary gland diseases</topic><topic>mastitis</topic><topic>Mastitis - microbiology</topic><topic>Mastitis - veterinary</topic><topic>mathematical models</topic><topic>medical treatment</topic><topic>Milk - cytology</topic><topic>Milk - microbiology</topic><topic>Milk and cheese industries. Ice creams</topic><topic>milk fever</topic><topic>Models, Biological</topic><topic>Netherlands</topic><topic>plate count</topic><topic>Risk Factors</topic><topic>somatic cell count</topic><topic>temporal variation</topic><topic>Terrestrial animal productions</topic><topic>total bacterial count</topic><topic>Vertebrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koop, G</creatorcontrib><creatorcontrib>Nielen, M</creatorcontrib><creatorcontrib>van Werven, T</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>AGRIS</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)</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 Databases</collection><collection>Technology Collection</collection><collection>ProQuest 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><collection>MEDLINE - Academic</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koop, G</au><au>Nielen, M</au><au>van Werven, T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bulk milk somatic cell counts are related to bulk milk total bacterial counts and several herd-level risk factors in dairy goats</atitle><jtitle>Journal of dairy science</jtitle><addtitle>J Dairy Sci</addtitle><date>2009-09-01</date><risdate>2009</risdate><volume>92</volume><issue>9</issue><spage>4355</spage><epage>4364</epage><pages>4355-4364</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><coden>JDSCAE</coden><abstract>The aim of this study was to describe the temporal variation in bulk milk somatic cell count (BMSCC) on Dutch dairy goat farms and to assess the correlation of BMSCC with bulk milk total bacterial counts (BMTBC) and with several herd management factors. Bulk milk somatic cell count and BMTBC data were recorded from 90% of the dairy goat farms in the Netherlands over the years 2005 to 2007. Farm characteristics and management information was collected by means of questionnaires. The bulk milk data and the questionnaire data were linked and linear mixed models were used to identify risk factors for increased BMSCC and BMTBC. Bulk milk somatic cell count was found to display a distinct pattern throughout the year, being highest around December and lowest around June. Bulk milk somatic cell count correlated to BMTBC (r = 0.4). Significant factors in the BMSCC model were month in lactation, treating mastitic animals instead of culling, caprine arthritis encephalitis status, milk fever prevalence, and liner material. Month in lactation and treating mastitic animals instead of culling were also significant in the BMTBC model. In the high-BMSCC period, a higher number of goats with an extended lactation significantly reduced the BMSCC. Thus, this study indicates that mastitis-related factors account for some of the variation in BMSCC and BMTBC levels between dairy goat herds. It shows that intramammary infection is probably the most important factor driving the correlation between BMSCC and BMTBC, suggesting that programs to improve udder health may have a positive effect on both BMSCC and BMTBC.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>19700695</pmid><doi>10.3168/jds.2009-2106</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of dairy science, 2009-09, Vol.92 (9), p.4355-4364 |
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| subjects | animal husbandry Animal productions Animals Biological and medical sciences bulk milk caprine arthritis-encephalitis Cell Count Colony Count, Microbial culling (animals) dairy animals dairy goat dairy herd management dairy herds Dairying disease control disease prevalence Female Food industries Fundamental and applied biological sciences. Psychology Goat Diseases - microbiology Goats lactation liner material mammary gland diseases mastitis Mastitis - microbiology Mastitis - veterinary mathematical models medical treatment Milk - cytology Milk - microbiology Milk and cheese industries. Ice creams milk fever Models, Biological Netherlands plate count Risk Factors somatic cell count temporal variation Terrestrial animal productions total bacterial count Vertebrates |
| title | Bulk milk somatic cell counts are related to bulk milk total bacterial counts and several herd-level risk factors in dairy goats |
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