| Grant number: | 14/17781-8 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | March 01, 2015 |
| End date: | March 16, 2018 |
| Field of knowledge: | Agronomical Sciences - Agronomy - Agricultural Meteorology |
| Agreement: | Coordination of Improvement of Higher Education Personnel (CAPES) |
| Principal Investigator: | Paulo Cesar Sentelhas |
| Grantee: | Fernando Dill Hinnah |
| Host Institution: | Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil |
| Associated scholarship(s): | 16/04773-2 - Early-season warning system for coffee rust in Southern Brazil based on El Niño Southern Oscillation Prognosis, BE.EP.DR |
Abstract The coffee cultivation is of great importance for the country, as a relevant commodity on trade balance. São Paulo and Minas Gerais states are the main agricultural producers of this. Several factors have influence on the coffee yield, production costs and quality of drink. Among these, the occurrence of diseases, such as rust, cercospora and phoma, is among the most important, damaging the crop in the next two years, due to the biennial phenology of the crop. An essential tool in the management of these diseases is the chemical control, which should be used with criteria. The chemical control application based on scheduled system is the most common, usually not taking into account the influence of climate as a triggering factor on epidemic. Thus, the development of a warning system that allows the rationalization of the diseases management is of great value, being the main objective of this project. For the development of a disease warning system for major diseases of coffee, several steps should be carried out as: a) to analyze the epidemiology of coffee diseases; b) to obtain the relationships between the diseases epidemiology and climatic factors involved in its development; c) to develop the rules in order to rationalize the chemical control of them; d) to test the proposed warning systems in field trials; e) generate climate risk index for coffee diseases, based on climate historical; f) elaborate, based on this risk index, favorable climatic zoning for these diseases, allowing the crop planning and adoption of strategies to control these diseases. For achieve these objectives epidemiological analyses will be performed. With epidemiological data from three sites, with 4-16 years of observations of diseases incidence, relationships between this variables and weather conditions will be obtained. These relationships will be for different periods of time, in order to identify when and which of them are determinants for diseases occurrence. The proposed disease warning systems will be tested and applied. Based on this, climate risk maps will be developed, allowing to identify the regions with different favorability levels for the studied coffee diseases. (AU) | |
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