Epidemiologia da ferrugem do cafeeiro conilon em diferentes estratos de altitude

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Camara, Guilherme de Resende
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Espírito Santo
BR
Doutorado em Agronomia
Centro de Ciências Agrárias e Engenharias
UFES
Programa de Pós-Graduação em Agronomia
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufes.br/handle/10/13194
Resumo: Brazil is a world leader in coffee production and export. The occurrence of diseases in the Conilon coffee tree is one of the limiting barriers to increase coffee production and productivity. Knowledge of environmental conditions allows the planning and evaluation of strategies for phytosanitary management, which minimize damage and loss, promoting socio-economic-environmental development. In this context, it is necessary to develop technologies for phytosanitary management that consider the environmental effects on the occurrence and intensity of the Conilon coffee rust, helping in the decision making and rational elaboration of phytosanitary management for this disease. The objective of this study was to evaluate the effect of altitude, temperature, relative humidity and rainfall on the intensity (incidence and severity) of Conilon coffee rust. There was a difference in the temporal distribution pattern of the disease in the different altitude strata (AE). The higher the altitude stratum, the lower the disease progression rate and the lower daily favorability for H. vastatrix infection in conilon coffee. For the variable incidence of coffee rust, the Gompertz model was the best fit to describe the epidemic. There was a correlation between the epidemiological variables in the different AE and the meteorological variables.