Herramientas
Four day training on the prevention of potato diseases and improving crop forecasting system in Armenia
Resumen |
A four day training was organized by Armstatehydromet Service and FAO under the “EC/FAO Programme on Information Systems to Improve Food Security Decision-making in the European Neighbourhood Policy (ENP) East Area”. The training aimed at developing capacity of Armstatehydromet and Ministery of Agriculture (extension services) in predicting and preventing potato crop diseases, including one of the most important, the Late Blight Disease caused by Phytophthora infestans. The Late Blight Disease was investigated as a model for the establishment and use of a Decision Support System (DSS). The training was one of the activities carried out under the Improving Crop Forecasting Component of the EC/FAO Programme which supports government in reducing food insecurity and poverty by improving the quality of forecasting and sharing of information across institutions. The training was conducted by Dr. Jean-Louis Rolot from the Belgian Research Institute “Walloon Centre for Agricultural Research”. It focused on potato diseases and micropropagation with reference to the late blight disease cycle, the use of fungicides and prediction of infection by using specific modelling software. At the end of the training, the participants had acquired sufficient knowledge and skills to:
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Localización |
Armstatehydromet, Yerevan |
Público objetivo |
The training was organized for 21 staff, 8 of them from Hydromet and 13 of them from the Ministry of Agriculture (centralized and decentralized levels). |
Tema |
Otros |
Objetivos |
The objective of the training was to develop capacity of Hydromet and Ministry of Agriculture in predicting and preventing potato crop diseases. The training provided both theoretical and practical knowledge and skills in potato diseases, identification and prevention. The training focused on the Potato Late Blight Disease (cycle, fungicides) and showed how it can be predicted by using a software which can detect the infections and fructifications processes for a better control, by analyzing weather parameters (RH, t°, rainfall). |
Contactos |
Ms. Francoise Trine Ms. Mane Tapaltsyan Mr. Jean-Louis Rolot Ms. Zara Petrosyan |
Enlaces |
Presentations: Software Late Blight |
