Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermography

Detalhes bibliográficos
Autor(a) principal: Sevegnani,Kelly B
Data de Publicação: 2016
Outros Autores: Fernandes,Danielle P. B, Silva,Silvia H. Modenese-Gorla da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100001
Resumo: ABSTRACT 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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spelling Evaluation of thermorregulatory capacity of dairy buffaloes using infrared thermographybuffaloheat stressrespiratory ratesurface temperatureABSTRACT 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.Associação Brasileira de Engenharia Agrícola2016-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100001Engenharia Agrícola v.36 n.1 2016reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-Eng.Agric.v36n1p1-12/2016info:eu-repo/semantics/openAccessSevegnani,Kelly BFernandes,Danielle P. BSilva,Silvia H. Modenese-Gorla daeng2016-04-20T00:00:00Zoai:scielo:S0100-69162016000100001Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2016-04-20T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)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
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
author_facet Sevegnani,Kelly B
Fernandes,Danielle P. B
Silva,Silvia H. Modenese-Gorla da
author_role author
author2 Fernandes,Danielle P. B
Silva,Silvia H. Modenese-Gorla da
author2_role author
author
dc.contributor.author.fl_str_mv Sevegnani,Kelly B
Fernandes,Danielle P. B
Silva,Silvia H. Modenese-Gorla da
dc.subject.por.fl_str_mv buffalo
heat stress
respiratory rate
surface temperature
topic buffalo
heat stress
respiratory rate
surface temperature
description ABSTRACT 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 2016-02-01
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=S0100-69162016000100001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000100001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-Eng.Agric.v36n1p1-12/2016
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.36 n.1 2016
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
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