About the project

Background

Pesticides are widely employed to control major pests in Greece. However, insecticide usage programs run almost blind, because of the difficulty of measuring critical parameters and the lack of communication networks. Key information regarding pesticide resistance is hard to obtain and/or come in too late to impact operational decisions.

Aim

We will develop an Ontology- and GIS - based software for the generation of a user friendly database to accommodate pesticide resistance data of major agricultural pests in Greece with emphasis at the operationally crucial local scale. Expansions (pests and geographical regions) and/or links with existing international systems are envisaged in the medium term. Improved molecular tools, for the early detection of pesticide resistance in the major crop pests will be also developed, and they will be applied, alongside existing tools and protocols.

Workpackages

1. Development of an Ontology- and GIS- based Pesticide Resistance database (GR-RBase).
2. Submission of pest population and resistance related data from the literature.
3. Development of molecular diagnostic tools for pesticide resistance monitoring in major pests of greek agriculture.
4. Application of existing and novel diagnostics for recording current status of resistance in major pests.
5. Training actions-workshops for disseminating database and interpreting data at the local scale.
6. Project Management.

Participants

Coordinating Institution: Foundation for Research and Technology, Hellas (FORTH)
Scientific Coordinator: Louis Christos
Research Team 2 Leader: Vontas John
Research Team 3 Leader: Markoglou Anastasios
Research Team 4 Leader: Eleftherohorinos Ilias

More information

Gratitude

This research has been co-financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program 'Education and Lifelong Learning' of the National Strategic Reference Framework (NSRF) - Research Funding Program: THALES. Investing in knowledge society through the European Social Fund. (GR-RBase 380264)

Version 0.28.020817-alpha
This research has been co-financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) - Research Funding Program: THALES. Investing in knowledge society through the European Social Fund.
espa
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