Climate change - impacts and adaptation
This line deals with the use of simulation models to quantify climate change impacts on cropping systems, as well as with the identification of adaptation strategies (based on genetics and improved management).
 2019 - Scientific Reports, 9, 9258
Quantifying uncertainty due to stochastic weather generators in climate change impact studies
Vesely, F.M., Paleari, L., Movedi, E., Bellocchi, G., Confalonieri, R. |
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2019 - Ecological Modelling, 401, 111-128
Development of generic crop models for simulation of multi-species plant communities in mown grasslands.
Movedi, E., Bellocchi, G., Argenti, G., Paleari, L., Vesely, F.M., Staglianò, N., Dibari, C., Confalonieri, R. |
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2018 - Ecological Modelling, 368, 1-14.
Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change.
Gilardelli, C., Confalonieri, R., Cappelli, G., Bellocchi, G. |
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2017 - Global Change Biology, 23, 4651-4662.
Surfing parameter hyperspaces under climate change scenarios to design future rice ideotypes.
Paleari, L., Movedi, E., Cappelli, G., Wilson, L.T., Confalonieri, R. |
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2016 - Computers and Electronics in Agriculture, 128, 46-49
ISIde: a rice modelling platform for in silico ideotyping.
Paleari, L., Bregaglio, S., Cappelli, G., Movedi, E., Confalonieri, R. |
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2015 - Agricultural and Forest Meteorology, 214-215, 483-493
A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration.
Makowski, D., Asseng, S., Ewert, F., ... , Confalonieri, R., ... , Zhu, Y. |
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2015 - Biomass & Bioenergy, 80, 85-93
Are advantages from partial replacement of corn with second generation energy crops undermined by climate change? A case study for giant reed in Northern Italy
Cappelli, G., Yamaç, S.S., Stella, T., Francone, C., Paleari, L., Negri, M., Confalonieri, R. |
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2015 - Climatic Change, 132, 661-675
District specific, in silico evaluation of rice ideotypes improved for resistance/tolerance traits to biotic and abiotic stressors under climate change scenarios.
Paleari, L., Cappelli, G., Bregaglio, S., Acutis, M., Donatelli, M., Sacchi, G.A., Lupotto, E., Boschetti, M., Manfron, G., Confalonieri, R. |
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2015 - Global Change Biology, 21, 1328-1341
Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions.
Li, T., Hasegawa, T., Yin, X., Zhu, Y., Boote, K., Adam, M., Bregaglio, S., Buis, S., Confalonieri, R., Fumoto, T., Gaydon, D., Marcaida, M., Nakagawa, H., Oriol, P., Ruane, A.C., Ruget, F., Singh, B., Singh, U., Tang, L., Tao, F., Wilkens, P., Yoshida, H., Zhang, Z., Bouman, B. |
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2014 - Ecological Modelling, 286, 1-10
CoSMo: a simple approach for reproducing plant community dynamics using a single instance of generic crop simulators.
Confalonieri, R. |
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2013 - Agronomy for Sustainable Development, 33, 767-776
Fungal infections of rice, wheat and grape in Europe in 2030-2050.
Bregaglio, S., Donatelli, M., Confalonieri, R. |
- Analysis and modelling of biophysical processes within agro-environmental systems
- Biophysical modelling to support breeding
- Climate change - impacts and adaptation
- Crop model development
- Development of management support systems
- Development of mobile apps for agroenvironmental research
- Development of software solutions for agricultural insurances
- Large area crop monitoring and yield forecasting
- New methods for the analysis and evaluation of agro-environmental simulation models
- New statistical methods for agro-environmental research