Zoneamento do risco de ocorrência do mal das folhas da seringueira com base em sistemas de informações geográficas

• Ano de defesa: 2007
• Autor(a) principal: Silva, Luís Gustavo Chaves da
• Orientador(a): Mizubuti, Eduardo Seiti Gomide
• Banca de defesa: Vale, Francisco Xavier Ribeiro do , Alvarenga, Antônio de Pádua
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Fitopatologia
• Departamento: Etiologia; Epidemiologia; Controle
• País: BR
• Palavras-chave em Português: Epidemiologia; Manejo; Controle; Áreas-escape; Microcyclus ulei
• Palavras-chave em Inglês: Leaf blight; Epidemiology; Management; Control; Microcyclus ulei
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::FITOSSANIDADE::FITOPATOLOGIA
• Link de acesso: http://locus.ufv.br/handle/123456789/4444

South American leaf blight (SALB), caused by the fungus Microcyclus ulei, is a serious disease of rubber trees. Although disease avoidance is effective to reduce yield losses, it depends on the ability of mapping low risk areas of SALB occurrence. Two geographic information system (GIS), CLIMEX and ArcView, were used to map risk areas of SALB. CLIMEX was used to generate and map Ecoclimatic Index to account for establishment of SALB worldwide. ArcView was used with the geostatistical tools of interpolation by Thiessen s Polygons, Inverse Distance Weighting, and Indicator Kriging, to provide a fine-resolution risk map for SALB in Brazil, based on a Severity Index (SI) estimated by a forecast model. According to CLIMEX maps potentially favorable zones for the establishment SALB occur in all continents and concentrated within 25oN to 25oS. This is the first study that assessed the risk of occurrence of SALB in Africa. Similarly, this is also a pioneering study aiming at mapping favorable areas of occurrence of SALB in Brazil. In the north of Australia risk areas for the establishment of SALB were detected. Low risk areas were detected in southern parts of the Central-West region to northern parts of Paraná State. The GIS and geostatistical tools allowed estimation of uncertainties when establishing risk areas and also provided fineresolution maps of areas that could be characterized as less favorable to SALB epidemics.