Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography

Detalhes bibliográficos
Autor(a) principal: Sevegnani, Kelly B. [UNESP]
Data de Publicação: 2016
Outros Autores: Fernandes, Danielle P.B., Modenese-Gorla Da Silva, Silvia H. [UNESP]
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.
id UNSP_1865a7b535e53afbd6e0d5063bdf2078
oai_identifier_str oai:repositorio.unesp.br:11449/168560
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling 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