Estimation of thermal comfort indexes for production animals using multiple linear regression models
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Animal Behaviour and Biometeorology |
Texto Completo: | https://malque.pub/ojs/index.php/jabb/article/view/932 |
Resumo: | Enthalpy, physical quantity indicating the amount of thermal energy in the medium, is used by many researchers as an indicator of thermal comfort for humans and production animals. This physical quantity has as input variables the dry bulb temperature, the relative humidity of the air and the local barometric pressure. According to consolidated information of temperature and relative humidity related to the animal homeostasis, it was possible to establish enthalpy ranges for thermal comfort of swine, poultry and cattle, considering the local barometric pressure and its variations, which is not easily accessible in situations of field. Thus, the present study aimed to use multiple linear regression models to estimate enthalpy values by means of easily accessible variables (dry and wet bulb temperatures and relative humidity) which can be obtained by means of psychrometers or even by means of low-cost sensors, currently accessible. Meteorological data from three cities of the Brazilian territory, each representing an animal production system (poultry, swine and cattle) were accessed from the National Institute of Meteorology (INMET) database. According to the analysis of the prediction quality verification indices, the obtained models are efficient in predicting enthalpy values with the use of dry bulb temperature and relative humidity. |
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Journal of Animal Behaviour and Biometeorology |
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Estimation of thermal comfort indexes for production animals using multiple linear regression modelsenthalpythermoregulationwell-beingEnthalpy, physical quantity indicating the amount of thermal energy in the medium, is used by many researchers as an indicator of thermal comfort for humans and production animals. This physical quantity has as input variables the dry bulb temperature, the relative humidity of the air and the local barometric pressure. According to consolidated information of temperature and relative humidity related to the animal homeostasis, it was possible to establish enthalpy ranges for thermal comfort of swine, poultry and cattle, considering the local barometric pressure and its variations, which is not easily accessible in situations of field. Thus, the present study aimed to use multiple linear regression models to estimate enthalpy values by means of easily accessible variables (dry and wet bulb temperatures and relative humidity) which can be obtained by means of psychrometers or even by means of low-cost sensors, currently accessible. Meteorological data from three cities of the Brazilian territory, each representing an animal production system (poultry, swine and cattle) were accessed from the National Institute of Meteorology (INMET) database. According to the analysis of the prediction quality verification indices, the obtained models are efficient in predicting enthalpy values with the use of dry bulb temperature and relative humidity.Malque Publishing2019-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionResearch Articlesapplication/pdfhttps://malque.pub/ojs/index.php/jabb/article/view/93210.31893/2318-1265jabb.v7n2p73-77Journal of Animal Behaviour and Biometeorology; Vol. 7 No. 2 (2019): April; 73-772318-12652318-1265reponame:Journal of Animal Behaviour and Biometeorologyinstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://malque.pub/ojs/index.php/jabb/article/view/932/504Copyright (c) 2019 Malque Publishinghttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessSarnighausen, Valéria Cristina Rodrigues2024-02-26T23:13:49Zoai:ojs2.malque.pub:article/932Revistahttps://periodicos.ufersa.edu.br/index.php/jabbPUBhttp://periodicos.ufersa.edu.br/revistas/index.php/jabb/oai||souza.jr@ufersa.edu.br2318-12652318-1265opendoar:2024-02-26T23:13:49Journal of Animal Behaviour and Biometeorology - Universidade Federal Rural do Semi-Árido (UFERSA)false |
dc.title.none.fl_str_mv |
Estimation of thermal comfort indexes for production animals using multiple linear regression models |
title |
Estimation of thermal comfort indexes for production animals using multiple linear regression models |
spellingShingle |
Estimation of thermal comfort indexes for production animals using multiple linear regression models Sarnighausen, Valéria Cristina Rodrigues enthalpy thermoregulation well-being |
title_short |
Estimation of thermal comfort indexes for production animals using multiple linear regression models |
title_full |
Estimation of thermal comfort indexes for production animals using multiple linear regression models |
title_fullStr |
Estimation of thermal comfort indexes for production animals using multiple linear regression models |
title_full_unstemmed |
Estimation of thermal comfort indexes for production animals using multiple linear regression models |
title_sort |
Estimation of thermal comfort indexes for production animals using multiple linear regression models |
author |
Sarnighausen, Valéria Cristina Rodrigues |
author_facet |
Sarnighausen, Valéria Cristina Rodrigues |
author_role |
author |
dc.contributor.author.fl_str_mv |
Sarnighausen, Valéria Cristina Rodrigues |
dc.subject.por.fl_str_mv |
enthalpy thermoregulation well-being |
topic |
enthalpy thermoregulation well-being |
description |
Enthalpy, physical quantity indicating the amount of thermal energy in the medium, is used by many researchers as an indicator of thermal comfort for humans and production animals. This physical quantity has as input variables the dry bulb temperature, the relative humidity of the air and the local barometric pressure. According to consolidated information of temperature and relative humidity related to the animal homeostasis, it was possible to establish enthalpy ranges for thermal comfort of swine, poultry and cattle, considering the local barometric pressure and its variations, which is not easily accessible in situations of field. Thus, the present study aimed to use multiple linear regression models to estimate enthalpy values by means of easily accessible variables (dry and wet bulb temperatures and relative humidity) which can be obtained by means of psychrometers or even by means of low-cost sensors, currently accessible. Meteorological data from three cities of the Brazilian territory, each representing an animal production system (poultry, swine and cattle) were accessed from the National Institute of Meteorology (INMET) database. According to the analysis of the prediction quality verification indices, the obtained models are efficient in predicting enthalpy values with the use of dry bulb temperature and relative humidity. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Research Articles |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://malque.pub/ojs/index.php/jabb/article/view/932 10.31893/2318-1265jabb.v7n2p73-77 |
url |
https://malque.pub/ojs/index.php/jabb/article/view/932 |
identifier_str_mv |
10.31893/2318-1265jabb.v7n2p73-77 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://malque.pub/ojs/index.php/jabb/article/view/932/504 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Malque Publishing https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Malque Publishing https://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Malque Publishing |
publisher.none.fl_str_mv |
Malque Publishing |
dc.source.none.fl_str_mv |
Journal of Animal Behaviour and Biometeorology; Vol. 7 No. 2 (2019): April; 73-77 2318-1265 2318-1265 reponame:Journal of Animal Behaviour and Biometeorology instname:Universidade Federal Rural do Semi-Árido (UFERSA) instacron:UFERSA |
instname_str |
Universidade Federal Rural do Semi-Árido (UFERSA) |
instacron_str |
UFERSA |
institution |
UFERSA |
reponame_str |
Journal of Animal Behaviour and Biometeorology |
collection |
Journal of Animal Behaviour and Biometeorology |
repository.name.fl_str_mv |
Journal of Animal Behaviour and Biometeorology - Universidade Federal Rural do Semi-Árido (UFERSA) |
repository.mail.fl_str_mv |
||souza.jr@ufersa.edu.br |
_version_ |
1799319802002538496 |