Health Monitoring of Fattening Pigs – Use of Production Data, Farm Characteristics and On-Farm Examination
Background The use of processed secondary data for health monitoring of fattening pigs has been established in various areas, such as the use of antibiotics or in the context of meat inspection. Standardized scores were calculated based on several sources of production data and can be used to descri...
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creator | Grosse-Kleimann, Julia Wegner, Birte Spiekermeier, Ines grosse Beilage, Elisabeth Kemper, Nicole Nienhoff, Hendrik Plate, Heiko Meyer, Henning Gerhardy, Hubert Kreienbrock, Lothar |
description | Background The use of processed secondary data for health monitoring of fattening pigs has been established in various areas, such as the use of antibiotics or in the context of meat inspection. Standardized scores were calculated based on several sources of production data and can be used to describe animal health in a large collective of pig units. In the present study, the extent to which these scores are related to different farm characteristics and management decisions were investigated. In addition, slaughter scores were compared with the results of a veterinary examination on the farms. Results The comparison of the results of the uni- and multifactorial analyses revealed that almost all of the examined factors play a role in at least one of the scores when considered individually. However, when various significant influencing factors were taken into account at any one time, most of the variables lost their statistical significance due to confounding effects. In particular, production data such as production costs or daily feed intake remained in the final models of the scores on mortality, average daily gain and external lesions. Regarding the second part of the investigation, a basic technical correlation between the slaughter scores and the on-farm indicators could be established via principal component analysis. The modelling of the slaughter scores by the on-farm indicators showed that the score on external lesions could be represented by equivalent variables recorded on the farm (e.g., lesions caused by tail or ear biting). Conclusions It has been demonstrated that the examined health scores are influenced by various farm and management characteristics. However, when several factors are taken into account, confounding occurs in some cases, which must be considered by consultants. Additionally, it was shown that on-farm examination content is related to the scores based on equivalent findings from slaughter pigs. Keywords: farm management, secondary data use, welfare indicators, swine |
doi_str_mv | 10.1186/s40813-021-00225-y |
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Standardized scores were calculated based on several sources of production data and can be used to describe animal health in a large collective of pig units. In the present study, the extent to which these scores are related to different farm characteristics and management decisions were investigated. In addition, slaughter scores were compared with the results of a veterinary examination on the farms. Results The comparison of the results of the uni- and multifactorial analyses revealed that almost all of the examined factors play a role in at least one of the scores when considered individually. However, when various significant influencing factors were taken into account at any one time, most of the variables lost their statistical significance due to confounding effects. In particular, production data such as production costs or daily feed intake remained in the final models of the scores on mortality, average daily gain and external lesions. Regarding the second part of the investigation, a basic technical correlation between the slaughter scores and the on-farm indicators could be established via principal component analysis. The modelling of the slaughter scores by the on-farm indicators showed that the score on external lesions could be represented by equivalent variables recorded on the farm (e.g., lesions caused by tail or ear biting). Conclusions It has been demonstrated that the examined health scores are influenced by various farm and management characteristics. However, when several factors are taken into account, confounding occurs in some cases, which must be considered by consultants. Additionally, it was shown that on-farm examination content is related to the scores based on equivalent findings from slaughter pigs. Keywords: farm management, secondary data use, welfare indicators, swine</description><identifier>ISSN: 2055-5660</identifier><identifier>EISSN: 2055-5660</identifier><identifier>DOI: 10.1186/s40813-021-00225-y</identifier><identifier>PMID: 34344485</identifier><language>eng</language><publisher>London: BioMed Central Ltd</publisher><subject>Age groups ; Analysis ; Animal welfare ; Antibiotics ; farm management ; Farms ; Feeds ; Hogs ; Inspection ; Investigations ; Mortality ; Pneumonia ; Principal components analysis ; Production data ; secondary data use ; Standard deviation ; Swine ; Veterinary medicine ; welfare indicators</subject><ispartof>Porcine Health Management, 2021-08, Vol.7 (1), p.1-45, Article 45</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c512t-58003a9cd58caca456906203860fed7677441d62441e57ffb7a3e15cb6ae04a23</citedby><cites>FETCH-LOGICAL-c512t-58003a9cd58caca456906203860fed7677441d62441e57ffb7a3e15cb6ae04a23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330030/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330030/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,27926,27927,53793,53795</link.rule.ids></links><search><creatorcontrib>Grosse-Kleimann, Julia</creatorcontrib><creatorcontrib>Wegner, Birte</creatorcontrib><creatorcontrib>Spiekermeier, Ines</creatorcontrib><creatorcontrib>grosse Beilage, Elisabeth</creatorcontrib><creatorcontrib>Kemper, Nicole</creatorcontrib><creatorcontrib>Nienhoff, Hendrik</creatorcontrib><creatorcontrib>Plate, Heiko</creatorcontrib><creatorcontrib>Meyer, Henning</creatorcontrib><creatorcontrib>Gerhardy, Hubert</creatorcontrib><creatorcontrib>Kreienbrock, Lothar</creatorcontrib><title>Health Monitoring of Fattening Pigs – Use of Production Data, Farm Characteristics and On-Farm Examination</title><title>Porcine Health Management</title><description>Background The use of processed secondary data for health monitoring of fattening pigs has been established in various areas, such as the use of antibiotics or in the context of meat inspection. Standardized scores were calculated based on several sources of production data and can be used to describe animal health in a large collective of pig units. In the present study, the extent to which these scores are related to different farm characteristics and management decisions were investigated. In addition, slaughter scores were compared with the results of a veterinary examination on the farms. Results The comparison of the results of the uni- and multifactorial analyses revealed that almost all of the examined factors play a role in at least one of the scores when considered individually. However, when various significant influencing factors were taken into account at any one time, most of the variables lost their statistical significance due to confounding effects. In particular, production data such as production costs or daily feed intake remained in the final models of the scores on mortality, average daily gain and external lesions. Regarding the second part of the investigation, a basic technical correlation between the slaughter scores and the on-farm indicators could be established via principal component analysis. The modelling of the slaughter scores by the on-farm indicators showed that the score on external lesions could be represented by equivalent variables recorded on the farm (e.g., lesions caused by tail or ear biting). Conclusions It has been demonstrated that the examined health scores are influenced by various farm and management characteristics. However, when several factors are taken into account, confounding occurs in some cases, which must be considered by consultants. Additionally, it was shown that on-farm examination content is related to the scores based on equivalent findings from slaughter pigs. Keywords: farm management, secondary data use, welfare indicators, swine</description><subject>Age groups</subject><subject>Analysis</subject><subject>Animal welfare</subject><subject>Antibiotics</subject><subject>farm management</subject><subject>Farms</subject><subject>Feeds</subject><subject>Hogs</subject><subject>Inspection</subject><subject>Investigations</subject><subject>Mortality</subject><subject>Pneumonia</subject><subject>Principal components analysis</subject><subject>Production data</subject><subject>secondary data use</subject><subject>Standard deviation</subject><subject>Swine</subject><subject>Veterinary medicine</subject><subject>welfare indicators</subject><issn>2055-5660</issn><issn>2055-5660</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNpdUk1vEzEQXSEQrUL_AKeVuHBgy_hznQtSFVpaqag90LM18XoTR7t2sZ2K3PgP_MP-knqTClFkyR8zb55nnl5VvSdwSoiSnxMHRVgDlDQAlIpm96o6piBEI6SE1__cj6qTlDYAQGTLREveVkeMM865EsfVcGlxyOv6e_Auh-j8qg59fYE5Wz89bt0q1Y-__9R3yU6Z2xi6rcku-PorZvxUoHGsF2uMaLKNLmVnUo2-q298s8-d_8LReZxK3lVvehySPXk-Z9XdxfmPxWVzffPtanF23RhBaG6EAmA4N51QBg1yIecgKTAlobddK9uWc9JJWnYr2r5ftsgsEWYp0QJHymbV1YG3C7jR99GNGHc6oNP7QIgrjbE0Oli9lGLJe4UEuC2SCMUEinlvkbYSWmoL15cD1_12OdrOWJ8jDi9IX2a8W-tVeNCKsTIGFIKPzwQx_NzalPXokrHDgN6GbdJUlHmVInzq-8N_0E3YRl-kKihJJaOMqII6PaBWWAZwvg_l30mozo7OBG97V-JnsgUJrC1rVtFDgYkhpWj7v90T0JOZ9MFMuphJ782kd-wJfNG6fg</recordid><startdate>20210803</startdate><enddate>20210803</enddate><creator>Grosse-Kleimann, Julia</creator><creator>Wegner, Birte</creator><creator>Spiekermeier, Ines</creator><creator>grosse Beilage, Elisabeth</creator><creator>Kemper, Nicole</creator><creator>Nienhoff, Hendrik</creator><creator>Plate, Heiko</creator><creator>Meyer, Henning</creator><creator>Gerhardy, Hubert</creator><creator>Kreienbrock, Lothar</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210803</creationdate><title>Health Monitoring of Fattening Pigs – Use of Production Data, Farm Characteristics and On-Farm Examination</title><author>Grosse-Kleimann, Julia ; Wegner, Birte ; Spiekermeier, Ines ; grosse Beilage, Elisabeth ; Kemper, Nicole ; Nienhoff, Hendrik ; Plate, Heiko ; Meyer, Henning ; Gerhardy, Hubert ; Kreienbrock, Lothar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c512t-58003a9cd58caca456906203860fed7677441d62441e57ffb7a3e15cb6ae04a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age groups</topic><topic>Analysis</topic><topic>Animal welfare</topic><topic>Antibiotics</topic><topic>farm management</topic><topic>Farms</topic><topic>Feeds</topic><topic>Hogs</topic><topic>Inspection</topic><topic>Investigations</topic><topic>Mortality</topic><topic>Pneumonia</topic><topic>Principal components analysis</topic><topic>Production data</topic><topic>secondary data use</topic><topic>Standard deviation</topic><topic>Swine</topic><topic>Veterinary medicine</topic><topic>welfare indicators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grosse-Kleimann, Julia</creatorcontrib><creatorcontrib>Wegner, Birte</creatorcontrib><creatorcontrib>Spiekermeier, Ines</creatorcontrib><creatorcontrib>grosse Beilage, Elisabeth</creatorcontrib><creatorcontrib>Kemper, Nicole</creatorcontrib><creatorcontrib>Nienhoff, Hendrik</creatorcontrib><creatorcontrib>Plate, Heiko</creatorcontrib><creatorcontrib>Meyer, Henning</creatorcontrib><creatorcontrib>Gerhardy, Hubert</creatorcontrib><creatorcontrib>Kreienbrock, Lothar</creatorcontrib><collection>CrossRef</collection><collection>Gale Academic OneFile Select</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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 Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Access via ProQuest (Open Access)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Porcine Health Management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grosse-Kleimann, Julia</au><au>Wegner, Birte</au><au>Spiekermeier, Ines</au><au>grosse Beilage, Elisabeth</au><au>Kemper, Nicole</au><au>Nienhoff, Hendrik</au><au>Plate, Heiko</au><au>Meyer, Henning</au><au>Gerhardy, Hubert</au><au>Kreienbrock, Lothar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Health Monitoring of Fattening Pigs – Use of Production Data, Farm Characteristics and On-Farm Examination</atitle><jtitle>Porcine Health Management</jtitle><date>2021-08-03</date><risdate>2021</risdate><volume>7</volume><issue>1</issue><spage>1</spage><epage>45</epage><pages>1-45</pages><artnum>45</artnum><issn>2055-5660</issn><eissn>2055-5660</eissn><abstract>Background The use of processed secondary data for health monitoring of fattening pigs has been established in various areas, such as the use of antibiotics or in the context of meat inspection. Standardized scores were calculated based on several sources of production data and can be used to describe animal health in a large collective of pig units. In the present study, the extent to which these scores are related to different farm characteristics and management decisions were investigated. In addition, slaughter scores were compared with the results of a veterinary examination on the farms. Results The comparison of the results of the uni- and multifactorial analyses revealed that almost all of the examined factors play a role in at least one of the scores when considered individually. However, when various significant influencing factors were taken into account at any one time, most of the variables lost their statistical significance due to confounding effects. In particular, production data such as production costs or daily feed intake remained in the final models of the scores on mortality, average daily gain and external lesions. Regarding the second part of the investigation, a basic technical correlation between the slaughter scores and the on-farm indicators could be established via principal component analysis. The modelling of the slaughter scores by the on-farm indicators showed that the score on external lesions could be represented by equivalent variables recorded on the farm (e.g., lesions caused by tail or ear biting). Conclusions It has been demonstrated that the examined health scores are influenced by various farm and management characteristics. However, when several factors are taken into account, confounding occurs in some cases, which must be considered by consultants. Additionally, it was shown that on-farm examination content is related to the scores based on equivalent findings from slaughter pigs. Keywords: farm management, secondary data use, welfare indicators, swine</abstract><cop>London</cop><pub>BioMed Central Ltd</pub><pmid>34344485</pmid><doi>10.1186/s40813-021-00225-y</doi><oa>free_for_read</oa></addata></record> |
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subjects | Age groups Analysis Animal welfare Antibiotics farm management Farms Feeds Hogs Inspection Investigations Mortality Pneumonia Principal components analysis Production data secondary data use Standard deviation Swine Veterinary medicine welfare indicators |
title | Health Monitoring of Fattening Pigs – Use of Production Data, Farm Characteristics and On-Farm Examination |
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