Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia Agrícola |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100002 |
Resumo: | The broiler rectal temperature (t rectal) is one of the most important physiological responses to classify the animal thermal comfort. Therefore, the aim of this study was to adjust regression models in order to predict the rectal temperature (t rectal) of broiler chickens under different thermal conditions based on age (A) and a meteorological variable (air temperature - t air) or a thermal comfort index (temperature and humidity index -THI or black globe humidity index - BGHI) or a physical quantity enthalpy (H). In addition, through the inversion of these models and the expected t rectal intervals for each age, the comfort limits of t air, THI, BGHI and H for the chicks in the heating phase were determined, aiding in the validation of the equations and the preliminary limits for H. The experimental data used to adjust the mathematical models were collected in two commercial poultry farms, with Cobb chicks, from 1 to 14 days of age. It was possible to predict the t rectal of conditions from the expected t rectal and determine the lower and superior comfort thresholds of broilers satisfactorily by applying the four models adjusted; as well as to invert the models for prediction of the environmental H for the chicks first 14 days of life. |
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Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of lifethermal environmentpoultrythermal comfortmathematical modelingphysiological responsesThe broiler rectal temperature (t rectal) is one of the most important physiological responses to classify the animal thermal comfort. Therefore, the aim of this study was to adjust regression models in order to predict the rectal temperature (t rectal) of broiler chickens under different thermal conditions based on age (A) and a meteorological variable (air temperature - t air) or a thermal comfort index (temperature and humidity index -THI or black globe humidity index - BGHI) or a physical quantity enthalpy (H). In addition, through the inversion of these models and the expected t rectal intervals for each age, the comfort limits of t air, THI, BGHI and H for the chicks in the heating phase were determined, aiding in the validation of the equations and the preliminary limits for H. The experimental data used to adjust the mathematical models were collected in two commercial poultry farms, with Cobb chicks, from 1 to 14 days of age. It was possible to predict the t rectal of conditions from the expected t rectal and determine the lower and superior comfort thresholds of broilers satisfactorily by applying the four models adjusted; as well as to invert the models for prediction of the environmental H for the chicks first 14 days of life.Associação Brasileira de Engenharia Agrícola2012-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100002Engenharia Agrícola v.32 n.1 2012reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/S0100-69162012000100002info:eu-repo/semantics/openAccessPonciano,Patrícia F.Yanagi Junior,TadayukiLima,Renato R. deSchiassi,LeonardoTeixeira,Vitor H.eng2012-04-17T00:00:00Zoai:scielo:S0100-69162012000100002Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2012-04-17T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false |
dc.title.none.fl_str_mv |
Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life |
title |
Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life |
spellingShingle |
Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life Ponciano,Patrícia F. thermal environment poultry thermal comfort mathematical modeling physiological responses |
title_short |
Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life |
title_full |
Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life |
title_fullStr |
Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life |
title_full_unstemmed |
Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life |
title_sort |
Adjust of regression models to estimate the rectal temperature of broilers for the first 14 days of life |
author |
Ponciano,Patrícia F. |
author_facet |
Ponciano,Patrícia F. Yanagi Junior,Tadayuki Lima,Renato R. de Schiassi,Leonardo Teixeira,Vitor H. |
author_role |
author |
author2 |
Yanagi Junior,Tadayuki Lima,Renato R. de Schiassi,Leonardo Teixeira,Vitor H. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ponciano,Patrícia F. Yanagi Junior,Tadayuki Lima,Renato R. de Schiassi,Leonardo Teixeira,Vitor H. |
dc.subject.por.fl_str_mv |
thermal environment poultry thermal comfort mathematical modeling physiological responses |
topic |
thermal environment poultry thermal comfort mathematical modeling physiological responses |
description |
The broiler rectal temperature (t rectal) is one of the most important physiological responses to classify the animal thermal comfort. Therefore, the aim of this study was to adjust regression models in order to predict the rectal temperature (t rectal) of broiler chickens under different thermal conditions based on age (A) and a meteorological variable (air temperature - t air) or a thermal comfort index (temperature and humidity index -THI or black globe humidity index - BGHI) or a physical quantity enthalpy (H). In addition, through the inversion of these models and the expected t rectal intervals for each age, the comfort limits of t air, THI, BGHI and H for the chicks in the heating phase were determined, aiding in the validation of the equations and the preliminary limits for H. The experimental data used to adjust the mathematical models were collected in two commercial poultry farms, with Cobb chicks, from 1 to 14 days of age. It was possible to predict the t rectal of conditions from the expected t rectal and determine the lower and superior comfort thresholds of broilers satisfactorily by applying the four models adjusted; as well as to invert the models for prediction of the environmental H for the chicks first 14 days of life. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100002 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0100-69162012000100002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola v.32 n.1 2012 reponame:Engenharia Agrícola instname:Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
instname_str |
Associação Brasileira de Engenharia Agrícola (SBEA) |
instacron_str |
SBEA |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126270678761472 |