Improved PFD control in São Paulo and Florida: using weather forecasts to anticipate disease risk in citrus groves

• Processo: 13/50116-5
• Linha de fomento: Auxílio à Pesquisa - Regular
• Vigência: 01 de maio de 2013 - 30 de abril de 2014
• Área do conhecimento: Ciências Agrárias - Agronomia - Fitossanidade
• Convênio/Acordo: University of Florida
• Pesquisador responsável: Lilian Amorim
• Beneficiário: Lilian Amorim
• Pesq. responsável no exterior: Natalia A. Peres Lautentti
• Instituição no exterior: University of Florida, Gainesville (UF), Estados Unidos
• Instituição-sede: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brasil
• Vinculado ao auxílio: 08/54176-4 - Epidemiologia molecular e manejo da podridão floral dos citros em áreas de expansão da cultura no estado de São Paulo, AP.TEM
• Assunto(s): Citricultura Doenças de plantas

Resumo

The PFD decision system was developed in Florida and evaluated in São Paulo during 1999 and 2002. In spite of the good results obtained under experimental conditions, this system has not been adopted by citrus growers from the southwestern region of São Paulo. However, growers empirically use weather forecast to plan their spraying against PFD. The lack of weather forecast information on PFD decision system is one of the reasons for not adopting this model to control the disease. Another possible reason is related to the need to include the estimated amount of inoculum in the system before its use. According to the data obtained by the Project 2008/54176-4, to which this proposal is related, the amount of inoculum can be disregarded as predictive variable for PFD epidemics. In this Project we propose to modify the current PFD system, including weather forecast and eliminating the inoculum estimation for the decision support. We propose two meetings: the first in Brazil and the second in Florida to discuss the implementation of this new system and to set up a new Project where this system should be validated and spread by a web platform. (AU)