AgreenSkills session, year: 2nd session, 2013
Receiving laboratory: LEPSE Ecophysiology of Plants under Environmental Stresses Montpellier, France
Country of origin : Italy
INSIDE: Wheat model INtercomparison and improvement for SImulating DEvelopment, growth, yield, and protein content under different agro-management scenarios and climate change
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.
In 2004 I started my PhD in Agriculture, Forest, and Food Sciences at the University of Turin, Italy based on the development of crop management strategies to reduce mycotoxin accumulation in cereals. During my PhD I started taking interest on the dynamic simulation of biophysical systems in agriculture.
In July 2010 I was awarded a Marie Curie Fellowship (IEF) for the project MIMYCS. The project was developed at the EC Joint Research Centre, and it was about the development of a framework of models (crop, insect borers, and fungi) simulating mycotoxin contamination in maize kernels. MIMYCS models were applied for impact studies under climate change scenarios, European corn borer chemical treatment management in Northern Italy (the model was also integrated in the decision support system MaisExpert of the company Syngenta), studies related to the modeling of insect pest phenological development.
During my Marie Curie fellowship I acquired several skills related to different aspects of model development (applied mathematics and algorithm development), climate change (impact analysis), independent and reusable software components development (object and component oriented software development), applied to very different biological systems: plant diseases, insect pest development and geographical distribution, water dynamics in maize kernels. I also worked as agrometeorologist for the EC, monitoring crop development and forecasting yields of the main crops in Europe.
In September 2013 I started working again at the University of Turin with a fellowship based on the simulation of soft and durum wheat grain quality aspects (protein content) using the model SiriusQuality1.
Maiorano A, Fanchini D., Donatelli M. 2014. MIMYCS.Moisture, a process-based model of moisture content in developing maize kernels, European Journal of Agronomy, 59: 86-95. DOI: 10.1016/j.eja.2014.05.011
Maiorano A, Donatelli M, 2014. Validation of an insect pest phenological model for the European corn borer (Ostrinia nubilalis Hbn) in the Po Valley in Italy, Italian Journal of Agrometeorology, Accepted for Publication
Maiorano A, Cerrani I, Fumagalli D, Donatelli M, 2013. New biological model to manage the impact of climate warming on maize corn borers. Agronomy for Sustainable Development, 34: 609-621, DOI: 10.1007/s13593–13-0185-2
Maiorano A, Bregalio S, Donatelli M, Fumagalli D, Zucchini A, 2012. Comparison of modelling approaches to simulate the phenology of the European corn borer under future climate scenarios. Ecological Modelling, 245: 65-74, DOI: 10.1016/j.ecolmodel.2012.03.034
Maiorano A. 2012. A physiologically based approach for degree-day calculation in pest phenology models: the case of the European CornBorer (Ostrinia nubilalis Hbn.) in Northern Italy. International Journal of Biometeorology, 56(4): 653-659, DOI: 10.1007/s00484-011-0464-z
Maiorano A., Mancini M.C., Reyneri A., 2010. Water interactions in maize grain during maturation: differences among commercial hybrids. Maydica, 55:209-217
Maiorano A., Mancini M.C., 2010. Water relationships and temperature interactions in maize grain during maturation. Field Crop Research, 119: 304-307, DOI: 10.1016/j.fcr.2010.07.019
Maiorano A., Reyneri A., Magni A., Ramponi C. 2009. A decision-aid tool for evaluating the agronomic risk of exposure to fumonisins of different maize crop management systems in Italy. Agricultural Systems, 102:17-23, DOI: 10.1016/j.agsy.2009.06.003
Maiorano A., Reyneri A., Sacco D., Magni A., Ramponi C. 2009. A dynamic risk assessment model (FUMAgrain) of fumonisin synthesis by Fusarium verticillioides in maize grain in Italy. Crop Protection, 28:243-256, DOI: 10.1016/j.cropro.2008.10.012
Maiorano A., Blandino M., Reyneri A., Vanara F., 2008. Effects of maize residues on the Fusarium spp. infection and deoxynivalenol (DON) contamination of wheat grain. Crop Protection, 27:182–188, DOI: 10.1016/j.cropro.2008.10.012
2010 – Marie Curie Intra-European Fellowship, Project MIMYCS, (Call FP7-PEOPLE-2009_IEF)