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dc.contributor.authorKARVATTE JUNIOR, N.eng
dc.contributor.authorALVES, F. V.eng
dc.contributor.authorALMEIDA, R. G. deeng
dc.contributor.authorMIYAGI, E. S.eng
dc.contributor.authorRAMOS, C. E. C. de O.eng
dc.contributor.authorBARRTO, C. D.eng
dc.contributor.authorMASTELARO, A. P.eng
dc.contributor.authorFERRARI, B.eng
dc.date.accessioned2020-01-15T18:09:44Z-
dc.date.available2020-01-15T18:09:44Z-
dc.date.created2020-01-09
dc.date.issued2019
dc.identifier.citationIn: CONGRESO INTERNACIONAL DE SISTEMAS SILVOPASTORILES 10., 2019, Asunción. Por una produción sostenible: Libro de Actas. Asunción: CIPAV, 2019.eng
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1118418-
dc.descriptionGoal was to use the Multiple Factor Analysis to reduce dimensionality of variables, to identify groups of correlated variables and to obtain a common assessment tool to evaluate microclimate, thermal comfort and infrared thermography in agroforestry systems. The experiment was conducted at the Embrapa Beef Cattle, Campo Grande, MS, from July 2015 to February 2016, corresponding to winter and summer seasons, in two agroforestry systems with different tree densities and spatial arrangements of native and planted trees. Readings were made from 8:00 a.m. to 4:00 p.m., for microclimate parameters (air temperature, dew point temperature, black globe temperature, relative humidity, wind speed, global solar radiation, photosynthetically active radiation and luminosity), thermal comfort (Temperature and Humidity Index, Black Globe and Humidity Index, Radiation Thermal Load), and infrared thermography (temperature and humidity of tree crown and soil surface), under full sun and shadow projection. Multiple Factor Analysis found three Synthetic Analytical Dimensions that explained 55.5% of the total observed variance. Strong and positive associations between infrared thermography, microclimate, thermal comfort and radiation were found. Thus, it is suggested that infrared thermography is a potential tool to be used for microclimate prediction and thermal comfort under agroforestry systems.eng
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSistema agroflorestaleng
dc.titleMultiple factor analysis to identify correlated variable among microclimate, thermal comfort and infrared thermography in agroforestry systems.eng
dc.typeArtigo em anais e proceedingseng
dc.date.updated2020-01-15T18:09:44Z
dc.subject.thesagroFlorestaeng
dc.subject.thesagroSanidade Animaleng
dc.subject.thesagroProdução Animaleng
dc.subject.thesagroMicroclimaeng
dc.subject.nalthesaurusAnimal productioneng
dc.subject.nalthesaurusAnimal welfareeng
dc.format.extent2p. 56-64eng
riaa.ainfo.id1118418eng
riaa.ainfo.lastupdate2020-01-15
dc.contributor.institutionNivaldo Karvatte Junior, Universidade Federal de Goiás, Goiânia; FABIANA VILLA ALVES, CNPGC; ROBERTO GIOLO DE ALMEIDA, CNPGC; Eliane Sayuri Miyagi, Universidade Federal de Goiãs, Goiânia; Carlos Eduardo Crispim de Oliveira Ramos, Universidade Federal do Recôncavo da Bahia, UFRB, Cruz das Almas, BA; Camilla Diniz Barreto, Universidade Federal do Recôncabo da Bahia, UFRB, Cruz das Almas, BA; Ariadne Pegoraro Mastelaro, Universidade Federal de Goiás, Goiânia; Bruna Ferrari, Universidade Federal do Mato Grosso do Sul, Campo Grande, MS.eng
Aparece en las colecciones:Artigo em anais de congresso (CNPGC)

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