Annual meeting: 2014
Fields-Topics: P6 Applied Maths
Type of talk: Fellows Speed Presentation
Main activities focus on the development, testing and improvement of biophysical models to support and analyze management of agricultural systems under current climate conditions and climate change. In 2004, during my PhD at the University of Turin (Italy), I started working on the development of biophysical models for fungal diseases, insect pest, and crop development. In July 2010 I was awarded a Marie Curie IEF for the project MIMYCS at the EC JRC. MIMYCS included the development of a framework of models (maize crop, insect pest, and fungi) simulating maize contamination by mycotoxins. In September 2013, I started working again at the University of Turin on the simulation of wheat grain quality aspects using the crop model SiriusQuality. In February 2014 I was awarded a Marie Curie AgreenSkills fellowship for the project INSIDE at the UMR LEPSE in Montpellier. INSIDE focused on the improvement of wheat crop models for the simulation of the impact of extreme high temperature events in the framework of the AgMIP-Wheat international project. After my AgreenSkills Fellowship I went back to the European Commission JRC, as a Scientific Officer, where I collaborate in the crop yield forecast activities of the team, I am responsible for implementing pest and diseases models in the forecasting system, and I collaborate in scientific projects related to the modelling of the impact of ozone in crops. At the beginning of May 2018 I will join the European Food Safety Authority in Parma (Italy).
The INSIDE project aims at identifying and describing impacts of climate variability and extreme temperature events on wheat development and growth, and at incorporating the new knowledge in the process-based wheat crop model SiriusQuality. The improved model will be included in the AgMIP-Wheat project, including 30 wheat crop models, to explore uncertainty and impact of data and methodological choices under different agro-meteorological and climate scenarios. The INSIDE project will further develop proven recent scientific approaches in an ambitious combination to improve the capacity of agro-meteorological models for simulating impacts of climate variability and extreme events.
The above presentations are protected under a Creative Commons non-commercial, non-derivative license (BY-NC-ND).
You are free to:
Share copy and redistribute the material in any medium or format.
Under the following terms:
Attribution You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial You may not use the material for commercial purposes.
NoDerivatives If you remix, transform, or build upon the material, you may not distribute the modified material.