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Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model
It is well known that pigs are sensitive to heat stress, but few studies have assessed the critical temperature that affects farrowing rate. Therefore, the objective of the present study was to assess the effects of outside temperature on farrowing rate by using a multivariate logistic regression mo...
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| Published in: | Animal science journal 2018-08, Vol.89 (8), p.1187-1193 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c4438-e706455cfd0dd0f9566b83e32bcb24eaea8a6df64852da302153aed2607960063 |
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| cites | cdi_FETCH-LOGICAL-c4438-e706455cfd0dd0f9566b83e32bcb24eaea8a6df64852da302153aed2607960063 |
| container_end_page | 1193 |
| container_issue | 8 |
| container_start_page | 1187 |
| container_title | Animal science journal |
| container_volume | 89 |
| creator | Sasaki, Yosuke Fujie, Madoka Nakatake, Shingo Kawabata, Tadahiro |
| description | It is well known that pigs are sensitive to heat stress, but few studies have assessed the critical temperature that affects farrowing rate. Therefore, the objective of the present study was to assess the effects of outside temperature on farrowing rate by using a multivariate logistic regression model. Data were obtained from 25 commercial farms, including 26,128 service records for gilts and 120,655 service records for sows. Two variables, maximum temperature (MAX) and temperature humidity index (THI), were used as an indicator for climate conditions. In gilts, an interaction between climate conditions and service number was associated with farrowing rate (p |
| doi_str_mv | 10.1111/asj.13048 |
| format | article |
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Therefore, the objective of the present study was to assess the effects of outside temperature on farrowing rate by using a multivariate logistic regression model. Data were obtained from 25 commercial farms, including 26,128 service records for gilts and 120,655 service records for sows. Two variables, maximum temperature (MAX) and temperature humidity index (THI), were used as an indicator for climate conditions. In gilts, an interaction between climate conditions and service number was associated with farrowing rate (p < .05). In the first service, farrowing rate decreased as climate conditions increased, whereas no relationship was found in the second service or later. In sows, farrowing rate at first service decreased as MAX increased from 22°C or THI increased from 66 (p < .05), but no apparent reduction under heat conditions was found in the second service or later. Additionally, effect of heat stress on farrowing rate in parities 1–2 was higher than those in parities 3–5 and ≥6 (p < .05). These results can be applied to field conditions as a standard for the critical temperature for farrowing rate.</description><identifier>ISSN: 1344-3941</identifier><identifier>EISSN: 1740-0929</identifier><identifier>DOI: 10.1111/asj.13048</identifier><identifier>PMID: 29808521</identifier><language>eng</language><publisher>Australia: Blackwell Publishing Ltd</publisher><subject>Animals ; Climate ; Commercial farms ; Critical temperature ; Farms ; farrowing rate ; Female ; Heat ; Heat stress ; Hot Temperature - adverse effects ; Humidity ; Logistic Models ; logistic regression model ; Multivariate analysis ; Parity ; Pregnancy ; Regression models ; Reproduction ; sows ; Stress, Physiological - physiology ; Swine - physiology ; Temperature ; Temperature effects ; Transition temperature</subject><ispartof>Animal science journal, 2018-08, Vol.89 (8), p.1187-1193</ispartof><rights>2018 Japanese Society of Animal Science</rights><rights>2018 Japanese Society of Animal Science.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4438-e706455cfd0dd0f9566b83e32bcb24eaea8a6df64852da302153aed2607960063</citedby><cites>FETCH-LOGICAL-c4438-e706455cfd0dd0f9566b83e32bcb24eaea8a6df64852da302153aed2607960063</cites><orcidid>0000-0002-4612-6624</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29808521$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sasaki, Yosuke</creatorcontrib><creatorcontrib>Fujie, Madoka</creatorcontrib><creatorcontrib>Nakatake, Shingo</creatorcontrib><creatorcontrib>Kawabata, Tadahiro</creatorcontrib><title>Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model</title><title>Animal science journal</title><addtitle>Anim Sci J</addtitle><description>It is well known that pigs are sensitive to heat stress, but few studies have assessed the critical temperature that affects farrowing rate. Therefore, the objective of the present study was to assess the effects of outside temperature on farrowing rate by using a multivariate logistic regression model. Data were obtained from 25 commercial farms, including 26,128 service records for gilts and 120,655 service records for sows. Two variables, maximum temperature (MAX) and temperature humidity index (THI), were used as an indicator for climate conditions. In gilts, an interaction between climate conditions and service number was associated with farrowing rate (p < .05). In the first service, farrowing rate decreased as climate conditions increased, whereas no relationship was found in the second service or later. In sows, farrowing rate at first service decreased as MAX increased from 22°C or THI increased from 66 (p < .05), but no apparent reduction under heat conditions was found in the second service or later. Additionally, effect of heat stress on farrowing rate in parities 1–2 was higher than those in parities 3–5 and ≥6 (p < .05). These results can be applied to field conditions as a standard for the critical temperature for farrowing rate.</description><subject>Animals</subject><subject>Climate</subject><subject>Commercial farms</subject><subject>Critical temperature</subject><subject>Farms</subject><subject>farrowing rate</subject><subject>Female</subject><subject>Heat</subject><subject>Heat stress</subject><subject>Hot Temperature - adverse effects</subject><subject>Humidity</subject><subject>Logistic Models</subject><subject>logistic regression model</subject><subject>Multivariate analysis</subject><subject>Parity</subject><subject>Pregnancy</subject><subject>Regression models</subject><subject>Reproduction</subject><subject>sows</subject><subject>Stress, Physiological - physiology</subject><subject>Swine - physiology</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Transition temperature</subject><issn>1344-3941</issn><issn>1740-0929</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kctu1DAUhiNERUthwQsgS2xgkdb3iZdVVW6qhBCwjpz4ePAoiQcfm9E8R1-4HqawQKo3vn3nO7b-pnnF6AWr49Li5oIJKrsnzRlbSdpSw83TuhZStsJIdto8R9xQylaGqmfNKTcd7RRnZ83d12KXHLLN4TcQiwiIMyyZRE_yTyDgPYwZD9tYMgYHJMO8hWRzSUDiQrxNKe7Csib1DEhYyDpMtcIujmDcIRn2pODh3pK5TLWPTeFATnEdMIeRJFin2jZU2RwdTC-aE28nhJcP83nz4_3N9-uP7e2XD5-ur27bUUrRtbCiWio1ekedo94orYdOgODDOHAJFmxntfNa1p86KyhnSlhwXNOV0ZRqcd68PXq3Kf4qgLmfA44wTXaBWLDnVGpNlZSsom_-QzexpKW-rlKdUMZoxSv17kiNKSIm8P02hdmmfc9of0iqr0n1f5Kq7OsHYxlmcP_Iv9FU4PII7MIE-8dN_dW3z0flPSsZn5M</recordid><startdate>201808</startdate><enddate>201808</enddate><creator>Sasaki, Yosuke</creator><creator>Fujie, Madoka</creator><creator>Nakatake, Shingo</creator><creator>Kawabata, Tadahiro</creator><general>Blackwell Publishing Ltd</general><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>7QL</scope><scope>7T7</scope><scope>7TK</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4612-6624</orcidid></search><sort><creationdate>201808</creationdate><title>Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model</title><author>Sasaki, Yosuke ; Fujie, Madoka ; Nakatake, Shingo ; Kawabata, Tadahiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4438-e706455cfd0dd0f9566b83e32bcb24eaea8a6df64852da302153aed2607960063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Animals</topic><topic>Climate</topic><topic>Commercial farms</topic><topic>Critical temperature</topic><topic>Farms</topic><topic>farrowing rate</topic><topic>Female</topic><topic>Heat</topic><topic>Heat stress</topic><topic>Hot Temperature - adverse effects</topic><topic>Humidity</topic><topic>Logistic Models</topic><topic>logistic regression model</topic><topic>Multivariate analysis</topic><topic>Parity</topic><topic>Pregnancy</topic><topic>Regression models</topic><topic>Reproduction</topic><topic>sows</topic><topic>Stress, Physiological - physiology</topic><topic>Swine - physiology</topic><topic>Temperature</topic><topic>Temperature effects</topic><topic>Transition temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sasaki, Yosuke</creatorcontrib><creatorcontrib>Fujie, Madoka</creatorcontrib><creatorcontrib>Nakatake, Shingo</creatorcontrib><creatorcontrib>Kawabata, Tadahiro</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Animal science journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sasaki, Yosuke</au><au>Fujie, Madoka</au><au>Nakatake, Shingo</au><au>Kawabata, Tadahiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model</atitle><jtitle>Animal science journal</jtitle><addtitle>Anim Sci J</addtitle><date>2018-08</date><risdate>2018</risdate><volume>89</volume><issue>8</issue><spage>1187</spage><epage>1193</epage><pages>1187-1193</pages><issn>1344-3941</issn><eissn>1740-0929</eissn><abstract>It is well known that pigs are sensitive to heat stress, but few studies have assessed the critical temperature that affects farrowing rate. Therefore, the objective of the present study was to assess the effects of outside temperature on farrowing rate by using a multivariate logistic regression model. Data were obtained from 25 commercial farms, including 26,128 service records for gilts and 120,655 service records for sows. Two variables, maximum temperature (MAX) and temperature humidity index (THI), were used as an indicator for climate conditions. In gilts, an interaction between climate conditions and service number was associated with farrowing rate (p < .05). In the first service, farrowing rate decreased as climate conditions increased, whereas no relationship was found in the second service or later. In sows, farrowing rate at first service decreased as MAX increased from 22°C or THI increased from 66 (p < .05), but no apparent reduction under heat conditions was found in the second service or later. Additionally, effect of heat stress on farrowing rate in parities 1–2 was higher than those in parities 3–5 and ≥6 (p < .05). These results can be applied to field conditions as a standard for the critical temperature for farrowing rate.</abstract><cop>Australia</cop><pub>Blackwell Publishing Ltd</pub><pmid>29808521</pmid><doi>10.1111/asj.13048</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-4612-6624</orcidid></addata></record> |
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| ispartof | Animal science journal, 2018-08, Vol.89 (8), p.1187-1193 |
| issn | 1344-3941 1740-0929 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2046605441 |
| source | Wiley-Blackwell Read & Publish Collection |
| subjects | Animals Climate Commercial farms Critical temperature Farms farrowing rate Female Heat Heat stress Hot Temperature - adverse effects Humidity Logistic Models logistic regression model Multivariate analysis Parity Pregnancy Regression models Reproduction sows Stress, Physiological - physiology Swine - physiology Temperature Temperature effects Transition temperature |
| title | Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model |
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