A statistical model to select densities of Apis mellifera bees in conducting laboratory experiments

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dc.contributor.author Cirillo, Marcelo Angelo
dc.contributor.author Cespedes, Juliana Garcia [UNIFESP]
dc.date.accessioned 2018-06-15T12:47:34Z
dc.date.available 2018-06-15T12:47:34Z
dc.date.issued 2013-09-01
dc.identifier http://dx.doi.org/10.4001/003.021.0223
dc.identifier.citation African Entomology. Hatfield: Entomological Soc Southern Africa, v. 21, n. 2, p. 333-342, 2013.
dc.identifier.issn 1021-3589
dc.identifier.uri http://repositorio.unifesp.br/11600/42126
dc.description.abstract The 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.extent 333-342
dc.language.iso eng
dc.publisher Entomological Soc Southern Africa
dc.relation.ispartof African Entomology
dc.rights Acesso restrito
dc.subject dependence en
dc.subject correlation en
dc.subject longevity en
dc.subject longitudinal linear mixed model en
dc.subject bee mortality en
dc.title A statistical model to select densities of Apis mellifera bees in conducting laboratory experiments en
dc.type Artigo
dc.contributor.institution Universidade Federal de Lavras (UFLA)
dc.contributor.institution Universidade Federal de São Paulo (UNIFESP)
dc.description.affiliation Univ Fed Lavras, Exact Sci Dept, BR-37200000 Lavras, MG, Brazil
dc.description.affiliation Univ Fed Sao Paulo, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnifesp Univ Fed Sao Paulo, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, Brazil
dc.identifier.doi 10.4001/003.021.0223
dc.description.source Web of Science
dc.identifier.wos WOS:000328010400019



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