Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/49909
Registro completo de metadados
Campo DCValorIdioma
dc.creatorUchôa, Cleilson do N.-
dc.creatorPozza, Edson A.-
dc.creatorMoraes, Wilson S.-
dc.creatorRocha, Herminio Souza-
dc.creatorCosta, Francisco Cleilson Lopes-
dc.date.accessioned2022-05-10T19:38:15Z-
dc.date.available2022-05-10T19:38:15Z-
dc.date.issued2021-07-
dc.identifier.citationUCHÔA, C. do N. et al. Modelling black Sigatoka epidemics with seasonal dispersal of Mycosphaerella fijiensis ascospores over a banana plantation in the Ribeira Valley, São Paulo, Brazil. European Journal of Plant Pathology, [S.I.], v. 161, p. 463-474, Oct. 2021. DOI: https://doi.org/10.1007/s10658-021-02337-1.pt_BR
dc.identifier.urihttps://doi.org/10.1007/s10658-021-02337-1pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/49909-
dc.description.abstractKnowing the patterns of Black Sigatoka development is essential to propose adequate disease management practices and evaluate their effects, which can be achieved through temporal analysis by integrating the evolving interactions of the pathosystem components, expressed by data on cumulative incidence and severity, and summarizing these data in a disease progress curve. Airborne spores are essential components for the progression of an epidemic in the context of a specific pathosystem. In this perspective, the spore count is an essential approach to assess and model an epidemic. This study evaluated the temporal dynamics of Black Sigatoka in a banana plantation in the Ribeira Valley, state of São Paulo, Brazil, while simultaneously performing a year-long evaluation of fungal spore aerobiology. The disease was intense during the rainy season, but the leaf emergence rate was high enough for quickly inverting the severity peak (between 169 and 197 days of evaluation). After that, the disease severity raised until reach the higher rates (around the score 7 out of 8). The disease progress curve of Black Sigatoka showed peaks of extreme severity, one in the rainy and another in the dry season, with high levels of ascospores in the air. The ascospore concentration and the severity of the disease correlated significantly on the same day of sampling and 15 days after ascospore sampling, corresponding to the average latency period of the disease in the region. The patterns of the disease progress curve in both peaks fitted the monomolecular model, with higher rates of disease increase in the rainy season.pt_BR
dc.languageenpt_BR
dc.publisherSpringer Naturept_BR
dc.rightsrestrictAccesspt_BR
dc.sourceEuropean Journal of Plant Pathologypt_BR
dc.subjectAerobiologypt_BR
dc.subjectBlack leaf streak diseasept_BR
dc.subjectEpidemiologypt_BR
dc.subjectMusa spp.pt_BR
dc.subjectPlant diseasept_BR
dc.subjectSystem modellingpt_BR
dc.subjectAerobiologiapt_BR
dc.subjectSigatoka negrapt_BR
dc.subjectEpidemiologiapt_BR
dc.subjectBanana - Doenças e pragaspt_BR
dc.subjectDoença foliarpt_BR
dc.subjectModelagem de sistemapt_BR
dc.titleModelling black Sigatoka epidemics with seasonal dispersal of Mycosphaerella fijiensis ascospores over a banana plantation in the Ribeira Valley, São Paulo, Brazilpt_BR
dc.typeArtigopt_BR
Aparece nas coleções:DFP - Artigos publicados em periódicos

Arquivos associados a este item:
Não existem arquivos associados a este item.


Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.

Ferramentas do administrador