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dc.contributor.authorCirillo, Marcelo Angelo
dc.contributor.authorCespedes, Juliana Garcia [UNIFESP]
dc.date.accessioned2018-06-15T12:47:34Z
dc.date.available2018-06-15T12:47:34Z
dc.date.issued2013-09-01
dc.identifierhttp://dx.doi.org/10.4001/003.021.0223
dc.identifier.citationAfrican Entomology. Hatfield: Entomological Soc Southern Africa, v. 21, n. 2, p. 333-342, 2013.
dc.identifier.issn1021-3589
dc.identifier.urihttp://repositorio.unifesp.br/11600/42126
dc.description.abstractThe survival of Apis mellifera Linnaeus, 1758 adults under laboratory conditions is not ensured only by a well-balanced diet during the larval stage and the first days after emergence; their population density in each experimental unit also affects the longevity of these insects. In this context, where statistical techniques allow considering random effects, fixed and different, covariance structures are interesting to build models that add information to bees confined to the laboratory. The goal of this paper was to study bee mortality in an experiment with different densities in each experimental unit observed over time. The statistical analyses used a mixed model with a covariance structure AR(1) and concluded that the average mortality rate for the bees is less progressive when considering densities with 50 individuals in each experimental unit.en
dc.format.extent333-342
dc.language.isoeng
dc.publisherEntomological Soc Southern Africa
dc.relation.ispartofAfrican Entomology
dc.rightsAcesso restrito
dc.subjectdependenceen
dc.subjectcorrelationen
dc.subjectlongevityen
dc.subjectlongitudinal linear mixed modelen
dc.subjectbee mortalityen
dc.titleA statistical model to select densities of Apis mellifera bees in conducting laboratory experimentsen
dc.typeArtigo
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.description.affiliationUniv Fed Lavras, Exact Sci Dept, BR-37200000 Lavras, MG, Brazil
dc.description.affiliationUniv Fed Sao Paulo, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, Brazil
dc.identifier.doi10.4001/003.021.0223
dc.description.sourceWeb of Science
dc.identifier.wosWOS:000328010400019


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