Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p1-12/2016 http://hdl.handle.net/11449/168560 |
Resumo: | The objective of this study was to evaluate the thermoregulatory response of dairy buffaloes in pre-milking and post-milking. To identify animal thermoregulatory capacity, skin surface temperatures were taken by an infrared thermometer (SST), a thermographic camera (MTBP) as well as respiratory rate records (RR). Black Globe and Humidity Index (BGHI), radiating thermal load (RTL) and enthalpy (H) were used to characterize the thermal environment. Artificial Neural Networks analyzed those indices as well as animal physiological data, using a single layer trained with the least mean square (LMS) algorithm. The results indicated that pre-milking and post-milking environments reached BGHI, RR, SST and MTBP values above thermal neutrality zone for buffaloes. In addition, limits of surface skin temperatures were mostly influenced by changing ambient conditions to the detriment of respiratory rates. It follows that buffaloes are sensitive to environmental changes and their skin temperatures are the best indicators of thermal comfort in relation to respiratory rate. |
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Repositório Institucional da UNESP |
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Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermographyBuffaloHeat stressRespiratory rateSurface temperatureThe objective of this study was to evaluate the thermoregulatory response of dairy buffaloes in pre-milking and post-milking. To identify animal thermoregulatory capacity, skin surface temperatures were taken by an infrared thermometer (SST), a thermographic camera (MTBP) as well as respiratory rate records (RR). Black Globe and Humidity Index (BGHI), radiating thermal load (RTL) and enthalpy (H) were used to characterize the thermal environment. Artificial Neural Networks analyzed those indices as well as animal physiological data, using a single layer trained with the least mean square (LMS) algorithm. The results indicated that pre-milking and post-milking environments reached BGHI, RR, SST and MTBP values above thermal neutrality zone for buffaloes. In addition, limits of surface skin temperatures were mostly influenced by changing ambient conditions to the detriment of respiratory rates. It follows that buffaloes are sensitive to environmental changes and their skin temperatures are the best indicators of thermal comfort in relation to respiratory rate.UNESPSistemas Agrícolas Depto. Enga. De Biossistemas ESALQ/USPUNESPUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Sevegnani, Kelly B. [UNESP]Fernandes, Danielle P.B.Modenese-Gorla Da Silva, Silvia H. [UNESP]2018-12-11T16:41:48Z2018-12-11T16:41:48Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-12application/pdfhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p1-12/2016Engenharia Agricola, v. 36, n. 1, p. 1-12, 2016.1808-43890100-6916http://hdl.handle.net/11449/16856010.1590/1809-4430-Eng.Agric.v36n1p1-12/2016S0100-691620160001000012-s2.0-84963529399S0100-69162016000100001.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agricola0,305info:eu-repo/semantics/openAccess2023-11-06T06:10:24Zoai:repositorio.unesp.br:11449/168560Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-06T06:10:24Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography |
title |
Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography |
spellingShingle |
Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography Sevegnani, Kelly B. [UNESP] Buffalo Heat stress Respiratory rate Surface temperature |
title_short |
Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography |
title_full |
Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography |
title_fullStr |
Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography |
title_full_unstemmed |
Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography |
title_sort |
Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography |
author |
Sevegnani, Kelly B. [UNESP] |
author_facet |
Sevegnani, Kelly B. [UNESP] Fernandes, Danielle P.B. Modenese-Gorla Da Silva, Silvia H. [UNESP] |
author_role |
author |
author2 |
Fernandes, Danielle P.B. Modenese-Gorla Da Silva, Silvia H. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Sevegnani, Kelly B. [UNESP] Fernandes, Danielle P.B. Modenese-Gorla Da Silva, Silvia H. [UNESP] |
dc.subject.por.fl_str_mv |
Buffalo Heat stress Respiratory rate Surface temperature |
topic |
Buffalo Heat stress Respiratory rate Surface temperature |
description |
The objective of this study was to evaluate the thermoregulatory response of dairy buffaloes in pre-milking and post-milking. To identify animal thermoregulatory capacity, skin surface temperatures were taken by an infrared thermometer (SST), a thermographic camera (MTBP) as well as respiratory rate records (RR). Black Globe and Humidity Index (BGHI), radiating thermal load (RTL) and enthalpy (H) were used to characterize the thermal environment. Artificial Neural Networks analyzed those indices as well as animal physiological data, using a single layer trained with the least mean square (LMS) algorithm. The results indicated that pre-milking and post-milking environments reached BGHI, RR, SST and MTBP values above thermal neutrality zone for buffaloes. In addition, limits of surface skin temperatures were mostly influenced by changing ambient conditions to the detriment of respiratory rates. It follows that buffaloes are sensitive to environmental changes and their skin temperatures are the best indicators of thermal comfort in relation to respiratory rate. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01 2018-12-11T16:41:48Z 2018-12-11T16:41:48Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p1-12/2016 Engenharia Agricola, v. 36, n. 1, p. 1-12, 2016. 1808-4389 0100-6916 http://hdl.handle.net/11449/168560 10.1590/1809-4430-Eng.Agric.v36n1p1-12/2016 S0100-69162016000100001 2-s2.0-84963529399 S0100-69162016000100001.pdf |
url |
http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v36n1p1-12/2016 http://hdl.handle.net/11449/168560 |
identifier_str_mv |
Engenharia Agricola, v. 36, n. 1, p. 1-12, 2016. 1808-4389 0100-6916 10.1590/1809-4430-Eng.Agric.v36n1p1-12/2016 S0100-69162016000100001 2-s2.0-84963529399 S0100-69162016000100001.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Engenharia Agricola 0,305 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1-12 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964838591463424 |