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A behavior and physiology-based decision support tool to predict thermal comfort and stress in non-pregnant, mid-gestation, and late-gestation sows
Although thermal indices have been proposed for swine, none to our knowledge differentiate by reproductive stage or predict thermal comfort using behavioral and physiological data. The study objective was to develop a behavior and physiology-based decision support tool to predict thermal comfort and...
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| Published in: | Journal of animal science and biotechnology 2022-12, Vol.13 (1), p.135-13, Article 135 |
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| creator | McConn, Betty R Schinckel, Allan P Robbins, Lindsey Gaskill, Brianna N Green-Miller, Angela R Lay, Jr, Donald C Johnson, Jay S |
| description | Although thermal indices have been proposed for swine, none to our knowledge differentiate by reproductive stage or predict thermal comfort using behavioral and physiological data. The study objective was to develop a behavior and physiology-based decision support tool to predict thermal comfort and stress in multiparous (3.28 ± 0.81) non-pregnant (n = 11), mid-gestation (n = 13), and late-gestation (n = 12) sows.
Regression analyses were performed using PROC MIXED in SAS 9.4 to determine the optimal environmental indicator [dry bulb temperature (T
) and dew point] of heat stress (HS) in non-pregnant, mid-gestation, and late-gestation sows with respiration rate (RR) and body temperature (T
) successively used as the dependent variable in a cubic function. A linear relationship was observed for skin temperature (T
) indicating that T
rather than the sow HS response impacted T
and so T
was excluded from further analyses. Reproductive stage was significant for all analyses (P |
| doi_str_mv | 10.1186/s40104-022-00789-x |
| format | article |
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Regression analyses were performed using PROC MIXED in SAS 9.4 to determine the optimal environmental indicator [dry bulb temperature (T
) and dew point] of heat stress (HS) in non-pregnant, mid-gestation, and late-gestation sows with respiration rate (RR) and body temperature (T
) successively used as the dependent variable in a cubic function. A linear relationship was observed for skin temperature (T
) indicating that T
rather than the sow HS response impacted T
and so T
was excluded from further analyses. Reproductive stage was significant for all analyses (P < 0.05). Heat stress thresholds for each reproductive stage were calculated using the inflections points of RR for mild HS and T
for moderate and severe HS. Mild HS inflection points differed for non-pregnant, mid-gestation, and late gestation sows and occurred at 25.5, 25.1, and 24.0 °C, respectively. Moderate HS inflection points differed for non-pregnant, mid-gestation, and late gestation sows and occurred at 28.1, 27.8, and 25.5 °C, respectively. Severe HS inflection points were similar for non-pregnant and mid-gestation sows (32.9 °C) but differed for late-gestation sows (30.8 °C). These data were integrated with previously collected behavioral thermal preference data to estimate the T
that non-pregnant, mid-gestation, and late-gestation sows found to be cool (T
< T
preference range), comfortable (T
= T
preference range), and warm (T
preference range < T
< mild HS).
The results of this study provide valuable information about thermal comfort and thermal stress thresholds in sows at three reproductive stages. The development of a behavior and physiology-based decision support tool to predict thermal comfort and stress in non-pregnant, mid-gestation, and late-gestation sows is expected to provide swine producers with a more accurate means of managing sow environments.</description><identifier>ISSN: 1674-9782</identifier><identifier>ISSN: 2049-1891</identifier><identifier>EISSN: 2049-1891</identifier><identifier>DOI: 10.1186/s40104-022-00789-x</identifier><identifier>PMID: 36496420</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Accuracy ; Agriculture ; Body temperature ; Breastfeeding & lactation ; Climate change ; Data collection ; Decision support ; Decision support systems ; Dependent variables ; Dew point ; Environmental indicators ; Experiments ; Gestation ; Heat ; Heat stress ; Heat tolerance ; Hogs ; Humidity ; Inflection points ; Intensive farming ; Laboratory animals ; Management ; Metabolism ; Physiology ; Pregnancy ; Productivity ; Regression analysis ; Skin ; Skin temperature ; Sows ; Swine ; Temperature ; Temperature effects ; Thermal comfort ; Thermal index ; Thermal stress ; Thresholds</subject><ispartof>Journal of animal science and biotechnology, 2022-12, Vol.13 (1), p.135-13, Article 135</ispartof><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published 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) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c624t-ee2839f11c9f0ce9c9298303d1d192f484bfce6abb97edd3c975c271eb069cc83</citedby><cites>FETCH-LOGICAL-c624t-ee2839f11c9f0ce9c9298303d1d192f484bfce6abb97edd3c975c271eb069cc83</cites><orcidid>0000-0001-5773-4142 ; 0000000157734142</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2748910881/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2748910881?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36496420$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/2425561$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>McConn, Betty R</creatorcontrib><creatorcontrib>Schinckel, Allan P</creatorcontrib><creatorcontrib>Robbins, Lindsey</creatorcontrib><creatorcontrib>Gaskill, Brianna N</creatorcontrib><creatorcontrib>Green-Miller, Angela R</creatorcontrib><creatorcontrib>Lay, Jr, Donald C</creatorcontrib><creatorcontrib>Johnson, Jay S</creatorcontrib><creatorcontrib>Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)</creatorcontrib><title>A behavior and physiology-based decision support tool to predict thermal comfort and stress in non-pregnant, mid-gestation, and late-gestation sows</title><title>Journal of animal science and biotechnology</title><addtitle>J Anim Sci Biotechnol</addtitle><description>Although thermal indices have been proposed for swine, none to our knowledge differentiate by reproductive stage or predict thermal comfort using behavioral and physiological data. The study objective was to develop a behavior and physiology-based decision support tool to predict thermal comfort and stress in multiparous (3.28 ± 0.81) non-pregnant (n = 11), mid-gestation (n = 13), and late-gestation (n = 12) sows.
Regression analyses were performed using PROC MIXED in SAS 9.4 to determine the optimal environmental indicator [dry bulb temperature (T
) and dew point] of heat stress (HS) in non-pregnant, mid-gestation, and late-gestation sows with respiration rate (RR) and body temperature (T
) successively used as the dependent variable in a cubic function. A linear relationship was observed for skin temperature (T
) indicating that T
rather than the sow HS response impacted T
and so T
was excluded from further analyses. Reproductive stage was significant for all analyses (P < 0.05). Heat stress thresholds for each reproductive stage were calculated using the inflections points of RR for mild HS and T
for moderate and severe HS. Mild HS inflection points differed for non-pregnant, mid-gestation, and late gestation sows and occurred at 25.5, 25.1, and 24.0 °C, respectively. Moderate HS inflection points differed for non-pregnant, mid-gestation, and late gestation sows and occurred at 28.1, 27.8, and 25.5 °C, respectively. Severe HS inflection points were similar for non-pregnant and mid-gestation sows (32.9 °C) but differed for late-gestation sows (30.8 °C). These data were integrated with previously collected behavioral thermal preference data to estimate the T
that non-pregnant, mid-gestation, and late-gestation sows found to be cool (T
< T
preference range), comfortable (T
= T
preference range), and warm (T
preference range < T
< mild HS).
The results of this study provide valuable information about thermal comfort and thermal stress thresholds in sows at three reproductive stages. The development of a behavior and physiology-based decision support tool to predict thermal comfort and stress in non-pregnant, mid-gestation, and late-gestation sows is expected to provide swine producers with a more accurate means of managing sow environments.</description><subject>Accuracy</subject><subject>Agriculture</subject><subject>Body temperature</subject><subject>Breastfeeding & lactation</subject><subject>Climate change</subject><subject>Data collection</subject><subject>Decision support</subject><subject>Decision support systems</subject><subject>Dependent variables</subject><subject>Dew point</subject><subject>Environmental indicators</subject><subject>Experiments</subject><subject>Gestation</subject><subject>Heat</subject><subject>Heat stress</subject><subject>Heat tolerance</subject><subject>Hogs</subject><subject>Humidity</subject><subject>Inflection points</subject><subject>Intensive farming</subject><subject>Laboratory animals</subject><subject>Management</subject><subject>Metabolism</subject><subject>Physiology</subject><subject>Pregnancy</subject><subject>Productivity</subject><subject>Regression analysis</subject><subject>Skin</subject><subject>Skin temperature</subject><subject>Sows</subject><subject>Swine</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Thermal comfort</subject><subject>Thermal index</subject><subject>Thermal stress</subject><subject>Thresholds</subject><issn>1674-9782</issn><issn>2049-1891</issn><issn>2049-1891</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkk1v1DAQhiMEolXpH-CALLhwqMFfie0LUlXxUakSFzhbjjPZ9Sqxg-0t3d_BH8a7WwrFB1ueeefxePQ2zUtK3lGquvdZEEoEJoxhQqTS-O5Jc8qI0JgqTZ82p7STAmup2ElznvOG1NUxyRV93pzwTuhOMHLa_LpEPaztrY8J2TCgZb3LPk5xtcO9zTCgAZyvkYDydlliKqjEONUNLQkG7-p9DWm2E3JxHvf5PSWXBDkjH1CIAVflKthQLtDsB7yCXGypxIuDdLIF_sZQjj_zi-bZaKcM5_fnWfP908dvV1_wzdfP11eXN9h1TBQMwBTXI6VOj8SBdpppxQkf6EA1G4US_eigs32vJQwDd1q2jkkKPem0c4qfNddH7hDtxizJzzbtTLTeHAIxrYxNxbsJDHEEeqscyLYV1FLFOQHWCVsHbFmrK-vDkbVs-xkGB6EkOz2CPs4EvzareGu05FJyVgGvj4CYizfZ-QJu7WII4IphgrVtR6vo7f0rKf7Y1qGZ2WcH02QDxG02TLa1MSkkr9I3_0k3cZtCnWdViWoRotQeyI4ql2LOCcaHjikxe5-Zo89M9Zk5-Mzc1aJX__71oeSPq_hvpLfQ6g</recordid><startdate>20221210</startdate><enddate>20221210</enddate><creator>McConn, Betty R</creator><creator>Schinckel, Allan P</creator><creator>Robbins, Lindsey</creator><creator>Gaskill, Brianna N</creator><creator>Green-Miller, Angela R</creator><creator>Lay, Jr, Donald C</creator><creator>Johnson, Jay S</creator><general>BioMed 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physiology-based decision support tool to predict thermal comfort and stress in non-pregnant, mid-gestation, and late-gestation sows</title><author>McConn, Betty R ; Schinckel, Allan P ; Robbins, Lindsey ; Gaskill, Brianna N ; Green-Miller, Angela R ; Lay, Jr, Donald C ; Johnson, Jay S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c624t-ee2839f11c9f0ce9c9298303d1d192f484bfce6abb97edd3c975c271eb069cc83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Agriculture</topic><topic>Body temperature</topic><topic>Breastfeeding & lactation</topic><topic>Climate change</topic><topic>Data collection</topic><topic>Decision support</topic><topic>Decision support systems</topic><topic>Dependent variables</topic><topic>Dew point</topic><topic>Environmental indicators</topic><topic>Experiments</topic><topic>Gestation</topic><topic>Heat</topic><topic>Heat stress</topic><topic>Heat tolerance</topic><topic>Hogs</topic><topic>Humidity</topic><topic>Inflection points</topic><topic>Intensive farming</topic><topic>Laboratory animals</topic><topic>Management</topic><topic>Metabolism</topic><topic>Physiology</topic><topic>Pregnancy</topic><topic>Productivity</topic><topic>Regression analysis</topic><topic>Skin</topic><topic>Skin temperature</topic><topic>Sows</topic><topic>Swine</topic><topic>Temperature</topic><topic>Temperature effects</topic><topic>Thermal comfort</topic><topic>Thermal index</topic><topic>Thermal stress</topic><topic>Thresholds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McConn, Betty R</creatorcontrib><creatorcontrib>Schinckel, Allan P</creatorcontrib><creatorcontrib>Robbins, Lindsey</creatorcontrib><creatorcontrib>Gaskill, Brianna N</creatorcontrib><creatorcontrib>Green-Miller, Angela R</creatorcontrib><creatorcontrib>Lay, Jr, Donald C</creatorcontrib><creatorcontrib>Johnson, Jay S</creatorcontrib><creatorcontrib>Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science 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Edition</collection><collection>Engineering Collection</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of animal science and biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McConn, Betty R</au><au>Schinckel, Allan P</au><au>Robbins, Lindsey</au><au>Gaskill, Brianna N</au><au>Green-Miller, Angela R</au><au>Lay, Jr, Donald C</au><au>Johnson, Jay S</au><aucorp>Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A behavior and physiology-based decision support tool to predict thermal comfort and stress in non-pregnant, mid-gestation, and late-gestation sows</atitle><jtitle>Journal of animal science and biotechnology</jtitle><addtitle>J Anim Sci Biotechnol</addtitle><date>2022-12-10</date><risdate>2022</risdate><volume>13</volume><issue>1</issue><spage>135</spage><epage>13</epage><pages>135-13</pages><artnum>135</artnum><issn>1674-9782</issn><issn>2049-1891</issn><eissn>2049-1891</eissn><abstract>Although thermal indices have been proposed for swine, none to our knowledge differentiate by reproductive stage or predict thermal comfort using behavioral and physiological data. The study objective was to develop a behavior and physiology-based decision support tool to predict thermal comfort and stress in multiparous (3.28 ± 0.81) non-pregnant (n = 11), mid-gestation (n = 13), and late-gestation (n = 12) sows.
Regression analyses were performed using PROC MIXED in SAS 9.4 to determine the optimal environmental indicator [dry bulb temperature (T
) and dew point] of heat stress (HS) in non-pregnant, mid-gestation, and late-gestation sows with respiration rate (RR) and body temperature (T
) successively used as the dependent variable in a cubic function. A linear relationship was observed for skin temperature (T
) indicating that T
rather than the sow HS response impacted T
and so T
was excluded from further analyses. Reproductive stage was significant for all analyses (P < 0.05). Heat stress thresholds for each reproductive stage were calculated using the inflections points of RR for mild HS and T
for moderate and severe HS. Mild HS inflection points differed for non-pregnant, mid-gestation, and late gestation sows and occurred at 25.5, 25.1, and 24.0 °C, respectively. Moderate HS inflection points differed for non-pregnant, mid-gestation, and late gestation sows and occurred at 28.1, 27.8, and 25.5 °C, respectively. Severe HS inflection points were similar for non-pregnant and mid-gestation sows (32.9 °C) but differed for late-gestation sows (30.8 °C). These data were integrated with previously collected behavioral thermal preference data to estimate the T
that non-pregnant, mid-gestation, and late-gestation sows found to be cool (T
< T
preference range), comfortable (T
= T
preference range), and warm (T
preference range < T
< mild HS).
The results of this study provide valuable information about thermal comfort and thermal stress thresholds in sows at three reproductive stages. The development of a behavior and physiology-based decision support tool to predict thermal comfort and stress in non-pregnant, mid-gestation, and late-gestation sows is expected to provide swine producers with a more accurate means of managing sow environments.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>36496420</pmid><doi>10.1186/s40104-022-00789-x</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-5773-4142</orcidid><orcidid>https://orcid.org/0000000157734142</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1674-9782 |
| ispartof | Journal of animal science and biotechnology, 2022-12, Vol.13 (1), p.135-13, Article 135 |
| issn | 1674-9782 2049-1891 2049-1891 |
| language | eng |
| recordid | cdi_doaj_primary_oai_doaj_org_article_0c0eba8ce75541a18330e264a978a259 |
| source | Open Access: PubMed Central; Publicly Available Content (ProQuest) |
| subjects | Accuracy Agriculture Body temperature Breastfeeding & lactation Climate change Data collection Decision support Decision support systems Dependent variables Dew point Environmental indicators Experiments Gestation Heat Heat stress Heat tolerance Hogs Humidity Inflection points Intensive farming Laboratory animals Management Metabolism Physiology Pregnancy Productivity Regression analysis Skin Skin temperature Sows Swine Temperature Temperature effects Thermal comfort Thermal index Thermal stress Thresholds |
| title | A behavior and physiology-based decision support tool to predict thermal comfort and stress in non-pregnant, mid-gestation, and late-gestation sows |
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