Black globe temperature from meteorological data and a bioclimatic analysis of the Brazilian Northeast for Saanen goats
The black globe temperature (BGT) is not a common measurement for weather station networks, despite having great relevance to bioclimatic studies. The aim of this study was to propose equations for estimating the BGT, using meteorological data for different time scales and a bioclimatic evaluation o...
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creator | da Silva, Thieres George Freire Santos, Girlene Cordeiro Lima Duarte, Ana Maria Cabral Turco, Sílvia Helena Nogueira Cruz Neto, José Francisco da Jardim, Alexandre Maniçoba da Rosa Ferraz dos Santos, Thalyta Soares |
description | The black globe temperature (BGT) is not a common measurement for weather station networks, despite having great relevance to bioclimatic studies. The aim of this study was to propose equations for estimating the BGT, using meteorological data for different time scales and a bioclimatic evaluation of the Brazilian Northeast for breeding Saanen dairy goats. The data used in elaborating the equations were collected between 1 November 2014 and 31 October 2017. Data for BGT, incident global solar radiation (SR), air temperature (AT), relative humidity (RH) and wind speed were handled on a daytime, night-time, daily and monthly scale. One half of the database was used to adjust the equations and the other half in the evaluation. The bioclimatic diagnosis of the Brazilian Northeast was carried out based on mean monthly values of the black globe temperature and humidity index (BGHI) estimated for the four seasons of the year. For the daytime scale, an equation based on AT (BGT = 1.3897.AT-5.4421, r2 = 0.80) and a multiplicative model combining the effects of AT and SR (BGT = [1.3897.AT-5.4421] (0.0384.ln(SR)+0.7935], r2 = 0.91) were obtained. AT adjusted well for BGT on the night-time scale (BGT = 0.995.AT-0.6964, r2 = 0.99), daily scale (BGT = 1.1641.AT-1.5941, r2 = 0.97) and monthly scale (BGT = 1.1550.AT-1.3498, r2 = 0.98). The BGT can therefore be calculated from AT and/or SR for the daytime scale, and from AT only for the night-time, daily and monthly scales. In general, the west and centre-south of the state of Bahia offer the animals the most thermal comfort during each season of the year. In the state of Maranhão, heat stress occurs throughout the year, with the BGTI predominately in the range of 85–95. As such, strategies to combat heat stress should be encouraged to minimise the negative effects of climate on milk production in Saanen goats, and favour the milk-production chain in the northeast of Brazil.
•Estimative of the BGT on different time scales (daytime, night-time, daily and monthly).•Temperature data and, or, solar radiation data allow the estimation of daytime BGT.•A multiplicative model is more recommended to calculate the BGT on daytime.•On daytime, night-time, daily and monthly scale, temperature data enough are for estimating BGT.•The Brazilian Northeast has the potential to develop milk production with ‘Saanen’ goats. |
doi_str_mv | 10.1016/j.jtherbio.2019.102408 |
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•Estimative of the BGT on different time scales (daytime, night-time, daily and monthly).•Temperature data and, or, solar radiation data allow the estimation of daytime BGT.•A multiplicative model is more recommended to calculate the BGT on daytime.•On daytime, night-time, daily and monthly scale, temperature data enough are for estimating BGT.•The Brazilian Northeast has the potential to develop milk production with ‘Saanen’ goats.</description><identifier>ISSN: 0306-4565</identifier><identifier>EISSN: 1879-0992</identifier><identifier>DOI: 10.1016/j.jtherbio.2019.102408</identifier><identifier>PMID: 31657748</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Air temperature ; Animals ; BGHI ; Bioclimatology ; Brazil ; Climate ; Climate effects ; Daytime ; Female ; Goats - physiology ; Heat Stress Disorders - veterinary ; Humidity ; Indices and statistical errors ; Milk production ; Regression ; Relative humidity ; Solar radiation ; Time scales ; Weather</subject><ispartof>Journal of thermal biology, 2019-10, Vol.85, p.102408-102408, Article 102408</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright © 2019 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier BV Oct 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-c98d8d07396bc73173fbe81777ff36846240414cca306b0c53367b75d8d60cf93</citedby><cites>FETCH-LOGICAL-c396t-c98d8d07396bc73173fbe81777ff36846240414cca306b0c53367b75d8d60cf93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0306456519302372$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31657748$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>da Silva, Thieres George Freire</creatorcontrib><creatorcontrib>Santos, Girlene Cordeiro Lima</creatorcontrib><creatorcontrib>Duarte, Ana Maria Cabral</creatorcontrib><creatorcontrib>Turco, Sílvia Helena Nogueira</creatorcontrib><creatorcontrib>Cruz Neto, José Francisco da</creatorcontrib><creatorcontrib>Jardim, Alexandre Maniçoba da Rosa Ferraz</creatorcontrib><creatorcontrib>dos Santos, Thalyta Soares</creatorcontrib><title>Black globe temperature from meteorological data and a bioclimatic analysis of the Brazilian Northeast for Saanen goats</title><title>Journal of thermal biology</title><addtitle>J Therm Biol</addtitle><description>The black globe temperature (BGT) is not a common measurement for weather station networks, despite having great relevance to bioclimatic studies. The aim of this study was to propose equations for estimating the BGT, using meteorological data for different time scales and a bioclimatic evaluation of the Brazilian Northeast for breeding Saanen dairy goats. The data used in elaborating the equations were collected between 1 November 2014 and 31 October 2017. Data for BGT, incident global solar radiation (SR), air temperature (AT), relative humidity (RH) and wind speed were handled on a daytime, night-time, daily and monthly scale. One half of the database was used to adjust the equations and the other half in the evaluation. The bioclimatic diagnosis of the Brazilian Northeast was carried out based on mean monthly values of the black globe temperature and humidity index (BGHI) estimated for the four seasons of the year. For the daytime scale, an equation based on AT (BGT = 1.3897.AT-5.4421, r2 = 0.80) and a multiplicative model combining the effects of AT and SR (BGT = [1.3897.AT-5.4421] (0.0384.ln(SR)+0.7935], r2 = 0.91) were obtained. AT adjusted well for BGT on the night-time scale (BGT = 0.995.AT-0.6964, r2 = 0.99), daily scale (BGT = 1.1641.AT-1.5941, r2 = 0.97) and monthly scale (BGT = 1.1550.AT-1.3498, r2 = 0.98). The BGT can therefore be calculated from AT and/or SR for the daytime scale, and from AT only for the night-time, daily and monthly scales. In general, the west and centre-south of the state of Bahia offer the animals the most thermal comfort during each season of the year. In the state of Maranhão, heat stress occurs throughout the year, with the BGTI predominately in the range of 85–95. As such, strategies to combat heat stress should be encouraged to minimise the negative effects of climate on milk production in Saanen goats, and favour the milk-production chain in the northeast of Brazil.
•Estimative of the BGT on different time scales (daytime, night-time, daily and monthly).•Temperature data and, or, solar radiation data allow the estimation of daytime BGT.•A multiplicative model is more recommended to calculate the BGT on daytime.•On daytime, night-time, daily and monthly scale, temperature data enough are for estimating BGT.•The Brazilian Northeast has the potential to develop milk production with ‘Saanen’ goats.</description><subject>Air temperature</subject><subject>Animals</subject><subject>BGHI</subject><subject>Bioclimatology</subject><subject>Brazil</subject><subject>Climate</subject><subject>Climate effects</subject><subject>Daytime</subject><subject>Female</subject><subject>Goats - physiology</subject><subject>Heat Stress Disorders - veterinary</subject><subject>Humidity</subject><subject>Indices and statistical errors</subject><subject>Milk production</subject><subject>Regression</subject><subject>Relative humidity</subject><subject>Solar radiation</subject><subject>Time scales</subject><subject>Weather</subject><issn>0306-4565</issn><issn>1879-0992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUU1v1DAUtBAVXRb-QmWJC5csdpzYyQ1a8SVV9ACcLcd5XhyceLEdUPn1vNW2HHrpyfJo5r03M4RccLbjjMs3024qPyANPu5qxnsE64Z1T8iGd6qvWN_XT8mGCSarppXtOXme88QYb0XLnpFzwWWrVNNtyJ_LYOxPug9xAFpgPkAyZU1AXYoznaFATDHEvbcm0NEUQ80yUkNxsQ1-NsVbREy4zT7T6CgeRS-T-euDNwv9EhMCJhfqYqJfjVlgoftoSn5BzpwJGV7evVvy_cP7b1efquubj5-v3l1XVvSyVLbvxm5kCj-DVYIr4QbouFLKOSG7RqLrhjfWGrQ6MNsKIdWgWhRJZl0vtuT1ae4hxV8r5KJnny2EgKfENetasL7jddswpL56QJ3imtDbkcVlw5nE_LZEnlg2xZwTOH1ImEO61ZzpYzV60vfV6GM1-lQNCi_uxq_DDON_2X0XSHh7IgDm8dtD0tl6WCyMPoEteoz-sR3_ACCGowk</recordid><startdate>201910</startdate><enddate>201910</enddate><creator>da Silva, Thieres George Freire</creator><creator>Santos, Girlene Cordeiro Lima</creator><creator>Duarte, Ana Maria Cabral</creator><creator>Turco, Sílvia Helena Nogueira</creator><creator>Cruz Neto, José Francisco da</creator><creator>Jardim, Alexandre Maniçoba da Rosa Ferraz</creator><creator>dos Santos, Thalyta Soares</creator><general>Elsevier Ltd</general><general>Elsevier BV</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>7QG</scope><scope>7QP</scope><scope>7SS</scope><scope>7TK</scope><scope>7TS</scope><scope>7X8</scope></search><sort><creationdate>201910</creationdate><title>Black globe temperature from meteorological data and a bioclimatic analysis of the Brazilian Northeast for Saanen goats</title><author>da Silva, Thieres George Freire ; Santos, Girlene Cordeiro Lima ; Duarte, Ana Maria Cabral ; Turco, Sílvia Helena Nogueira ; Cruz Neto, José Francisco da ; Jardim, Alexandre Maniçoba da Rosa Ferraz ; dos Santos, Thalyta Soares</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-c98d8d07396bc73173fbe81777ff36846240414cca306b0c53367b75d8d60cf93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Air temperature</topic><topic>Animals</topic><topic>BGHI</topic><topic>Bioclimatology</topic><topic>Brazil</topic><topic>Climate</topic><topic>Climate effects</topic><topic>Daytime</topic><topic>Female</topic><topic>Goats - physiology</topic><topic>Heat Stress Disorders - veterinary</topic><topic>Humidity</topic><topic>Indices and statistical errors</topic><topic>Milk production</topic><topic>Regression</topic><topic>Relative humidity</topic><topic>Solar radiation</topic><topic>Time scales</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>da Silva, Thieres George Freire</creatorcontrib><creatorcontrib>Santos, Girlene Cordeiro Lima</creatorcontrib><creatorcontrib>Duarte, Ana Maria Cabral</creatorcontrib><creatorcontrib>Turco, Sílvia Helena Nogueira</creatorcontrib><creatorcontrib>Cruz Neto, José Francisco da</creatorcontrib><creatorcontrib>Jardim, Alexandre Maniçoba da Rosa Ferraz</creatorcontrib><creatorcontrib>dos Santos, Thalyta Soares</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of thermal biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>da Silva, Thieres George Freire</au><au>Santos, Girlene Cordeiro Lima</au><au>Duarte, Ana Maria Cabral</au><au>Turco, Sílvia Helena Nogueira</au><au>Cruz Neto, José Francisco da</au><au>Jardim, Alexandre Maniçoba da Rosa Ferraz</au><au>dos Santos, Thalyta Soares</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Black globe temperature from meteorological data and a bioclimatic analysis of the Brazilian Northeast for Saanen goats</atitle><jtitle>Journal of thermal biology</jtitle><addtitle>J Therm Biol</addtitle><date>2019-10</date><risdate>2019</risdate><volume>85</volume><spage>102408</spage><epage>102408</epage><pages>102408-102408</pages><artnum>102408</artnum><issn>0306-4565</issn><eissn>1879-0992</eissn><abstract>The black globe temperature (BGT) is not a common measurement for weather station networks, despite having great relevance to bioclimatic studies. The aim of this study was to propose equations for estimating the BGT, using meteorological data for different time scales and a bioclimatic evaluation of the Brazilian Northeast for breeding Saanen dairy goats. The data used in elaborating the equations were collected between 1 November 2014 and 31 October 2017. Data for BGT, incident global solar radiation (SR), air temperature (AT), relative humidity (RH) and wind speed were handled on a daytime, night-time, daily and monthly scale. One half of the database was used to adjust the equations and the other half in the evaluation. The bioclimatic diagnosis of the Brazilian Northeast was carried out based on mean monthly values of the black globe temperature and humidity index (BGHI) estimated for the four seasons of the year. For the daytime scale, an equation based on AT (BGT = 1.3897.AT-5.4421, r2 = 0.80) and a multiplicative model combining the effects of AT and SR (BGT = [1.3897.AT-5.4421] (0.0384.ln(SR)+0.7935], r2 = 0.91) were obtained. AT adjusted well for BGT on the night-time scale (BGT = 0.995.AT-0.6964, r2 = 0.99), daily scale (BGT = 1.1641.AT-1.5941, r2 = 0.97) and monthly scale (BGT = 1.1550.AT-1.3498, r2 = 0.98). The BGT can therefore be calculated from AT and/or SR for the daytime scale, and from AT only for the night-time, daily and monthly scales. In general, the west and centre-south of the state of Bahia offer the animals the most thermal comfort during each season of the year. In the state of Maranhão, heat stress occurs throughout the year, with the BGTI predominately in the range of 85–95. As such, strategies to combat heat stress should be encouraged to minimise the negative effects of climate on milk production in Saanen goats, and favour the milk-production chain in the northeast of Brazil.
•Estimative of the BGT on different time scales (daytime, night-time, daily and monthly).•Temperature data and, or, solar radiation data allow the estimation of daytime BGT.•A multiplicative model is more recommended to calculate the BGT on daytime.•On daytime, night-time, daily and monthly scale, temperature data enough are for estimating BGT.•The Brazilian Northeast has the potential to develop milk production with ‘Saanen’ goats.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>31657748</pmid><doi>10.1016/j.jtherbio.2019.102408</doi><tpages>1</tpages></addata></record> |
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subjects | Air temperature Animals BGHI Bioclimatology Brazil Climate Climate effects Daytime Female Goats - physiology Heat Stress Disorders - veterinary Humidity Indices and statistical errors Milk production Regression Relative humidity Solar radiation Time scales Weather |
title | Black globe temperature from meteorological data and a bioclimatic analysis of the Brazilian Northeast for Saanen goats |
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