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Models to predict both sensible and latent heat transfer in the respiratory tract of Morada Nova sheep under semiarid tropical environment

dc.contributor.authorFonseca, Vinicius Carvalho
dc.contributor.authorSaraiva, Edilson Paes
dc.contributor.authorCampos Maia, Alex Sandro [UNESP]
dc.contributor.authorNagib Nascimento, Carolina Cardoso [UNESP]
dc.contributor.authorSilva, Josinaldo Araujo da
dc.contributor.authorPereira, Walter Esfraim
dc.contributor.authorPimenta Filho, Edgard Cavalcanti
dc.contributor.authorVieira Almeida, Maria Elivania
dc.contributor.institutionUniv Fed Paraiba
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T15:44:11Z
dc.date.available2018-11-26T15:44:11Z
dc.date.issued2017-05-01
dc.description.abstractThe aim of this study was to build a prediction model both sensible and latent heat transfer by respiratory tract for Morada Nova sheep under field conditions in a semiarid tropical environment, using easily measured physiological and environmental parameters. Twelve dry Morada Nova ewes with an average of 3 +/- 1.2 years old and average body weight of 32.76 +/- 3.72 kg were used in a Latin square design 12 x 12 (12 days of records and 12 schedules). Tidal volume, respiratory rate, expired air temperature, and partial vapor pressure of the expired air were obtained from the respiratory facial mask and using a physiological measurement system. Ewes were evaluated from 0700 to 1900 h in each day under shade. A simple nonlinear model to estimate tidal volume as a function of respiratory rate was developed. Equation to estimate the expired air temperature was built, and the ambient air temperature was the best predictor together with relative humidity and ambient vapor pressure. In naturalized Morada Nova sheep, respiratory convection seems to be a mechanism of heat transfer of minor importance even under mild air temperature. Evaporation from the respiratory system increased together with ambient air temperature. At ambient air temperature, up to 35 A degrees C respiratory evaporation accounted 90 % of the total heat lost by respiratory system, on average. Models presented here allow to estimate the heat flow from the respiratory tract for Morada Nova sheep bred in tropical region, using easily measured physiological and environmental traits as respiratory rate, ambient air temperature, and relative humidity.en
dc.description.affiliationUniv Fed Paraiba, Areia, Paraiba, Brazil
dc.description.affiliationUniv Estadual Paulista, Sao Paulo, Jaboticabal, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Sao Paulo, Jaboticabal, Brazil
dc.description.sponsorshipAnimal Science Department of the Universidade Estadual de Sao Paulo, Brazil
dc.description.sponsorshipAnimal Biometeorology Laboratory of the Universidade Estadual de Sao Paulo, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2011/17388-6
dc.format.extent777-784
dc.identifierhttp://dx.doi.org/10.1007/s00484-016-1255-3
dc.identifier.citationInternational Journal Of Biometeorology. New York: Springer, v. 61, n. 5, p. 777-784, 2017.
dc.identifier.doi10.1007/s00484-016-1255-3
dc.identifier.fileWOS:000400545400001.pdf
dc.identifier.issn0020-7128
dc.identifier.urihttp://hdl.handle.net/11449/159533
dc.identifier.wosWOS:000400545400001
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofInternational Journal Of Biometeorology
dc.relation.ispartofsjr0,897
dc.rights.accessRightsAcesso abertopt
dc.sourceWeb of Science
dc.subjectGenetic adaptation
dc.subjectNaturalized breed
dc.subjectPrediction model
dc.subjectTidal volume
dc.titleModels to predict both sensible and latent heat transfer in the respiratory tract of Morada Nova sheep under semiarid tropical environmenten
dc.typeArtigopt
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
dspace.entity.typePublication
unesp.author.orcid0000-0001-7333-0105[3]
unesp.author.orcid0000-0002-0838-7786[4]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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