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dc.contributor.authorPadilha, Alessandro Haiduckpt_BR
dc.contributor.authorSattler, Aronipt_BR
dc.contributor.authorCobuci, Jaime Araújopt_BR
dc.contributor.authorPimentel, Concepta Margaret McManuspt_BR
dc.date.accessioned2014-02-28T01:50:53Zpt_BR
dc.date.issued2013pt_BR
dc.identifier.issn1415-4757pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/87989pt_BR
dc.description.abstractHeritability and genetic correlations for honey (HP) and propolis production (PP), hygienic behavior (HB), syrupcollection rate (SCR) and percentage of mites on adult bees (PMAB) of a population of Africanized honeybees were estimated. Data from 110 queen bees over three generations were evaluated. Single and multi-trait models were analyzed by Bayesian Inference using MTGSAM. The localization of the hive was significant for SCR and HB and highly significant for PP. Season-year was highly significant only for SCR. The number of frames with bees was significant for HP and PP, including SCR. The heritability estimates were 0.16 for HP, 0.23 for SCR, 0.52 for HB, 0.66 for PP, and 0.13 for PMAB. The genetic correlations were positive among productive traits (PP, HP and SCR) and negative between productive traits and HB, except between PP and HB. Genetic correlations between PMAB and other traits, in general, were negative, except with PP. The study permitted to identify honeybees for improved propolis and honey production. Hygienic behavior may be improved as a consequence of selecting for improved propolis production. The rate of syrup consumption and propolis production may be included in a selection index to enhance honeybee traits.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofGenetics and molecular biology. Vol. 36, n. 2 (Jun. 2013), p. 207-213pt_BR
dc.rightsOpen Accessen
dc.subjectApis melliferapt_BR
dc.subjectheritabilityen
dc.subjectgenetic correlationsen
dc.subjectHerdabilidadept_BR
dc.subjectenvironmental effectsen
dc.subjectApis melliferaen
dc.titleGenetic parameters for five traits in Africanized honeybees using Bayesian inferencept_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000896851pt_BR
dc.type.originNacionalpt_BR


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