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	Provedor de dados 45 (2) Autor Lorenzon,M.C. (2) Tassinari,W.S. (2) Barth,O.M. (1) Castro,R.N. (1) Deveza,M.V. (1) Keller,K.M. (1) Koshiyama,A.S. (1) Peixoto,E.L. (1) Mais... Palavra-chave Bee health (1) Beekeeping (1) Beekeeping productivity (1) Molds (1) Mycotoxins (1) Spatial regression models (1) Spatial statistics (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2014 (1) 2013 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Fungi infection in honeybee hives in regions affected by Brazilian sac brood 45 Keller,K.M.; Deveza,M.V.; Koshiyama,A.S.; Tassinari,W.S.; Barth,O.M.; Castro,R.N.; Lorenzon,M.C.. The Brazilian Sac Brood is a disease that affects apiaries of Africanized bee hives in Brazil, thereby making them susceptible to high losses. This study investigated the pathogenicity of Africanized bee hives by the entomopathogenic fungi in a Brazilian Sac Brood endemic region. The degree of fungal contamination, presence of mycotoxins in beehive elements, and vulnerability of healthy beehives in environments subjected and not subjected to the disease were investigated. From the contaminating fungal load, species that are mycotoxin producers and pathogenic causing mortality in the bees have been isolated. The analysis of bee pollen and bee bread samples did not show the presence of the toxic pollen of Stryphnodendron (Fabaceae), which has been indicated... Tipo: Info:eu-repo/semantics/article Palavras-chave: Bee health; Beekeeping; Molds; Mycotoxins. Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352014000501471 Spatial regression methods to evaluate beekeeping production in the state of Rio de Janeiro 45 Tassinari,W.S.; Lorenzon,M.C.; Peixoto,E.L.. Brazilian beekeeping has been developed from the africanization of the honeybees and its high performance launches Brazil as one of the world´s largest honey producer. The Southeastern region has an expressive position in this market (45%), but the state of Rio de Janeiro is the smallest producer, despite presenting large areas of wild vegetation for honey production. In order to analyze the honey productivity in the state of Rio de Janeiro, this research used classic and spatial regression approaches. The data used in this study comprised the responses regarding beekeeping from 1418 beekeepers distributed throughout 72 counties of this state. The best statistical fit was a semiparametric spatial model. The proposed model could be used to estimate the... Tipo: Info:eu-repo/semantics/article Palavras-chave: Beekeeping productivity; Spatial statistics; Spatial regression models. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352013000200035 Registros recuperados: 2 Primeira ... 1 ... Última

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