Spatializing Crop Models for Sustainable Agriculture
Ginaldi F., Bajocco S., Bregaglio S., Cappelli G., 2019.
In: Farooq M., Pisante M. (eds) Innovations in Sustainable Agriculture. Springer, Cham, 2019.
doi: https://doi.org/10.1007/978-3-030-23169-9_20
Identifying the most promising agronomic adaptation strategies for the tomato growing systems in Southern Italy via simulation modeling
Giuliani, M.M., Gatta, G., Cappelli, G., Gagliardi, A., Donatelli, M., Fanchini, D., De Nart, D., Mongiano, G., Bregaglio, D., 2019.
European Journal of Agronomy, Volume 111, 2019, 125937, ISSN 1161-0301
doi: https://doi.org/10.1016/j.eja.2019.125937
Analysing the behaviour of a hazelnut simulation model across growing environments via sensitivity analysis and automatic calibration.
Bregaglio, S., Giustarini, L., Suarez, E., Mongiano, G., De Gregorio, T., 2020.
Agricultural Systems 181.
doi: https://doi.org/10.1016/j.agsy.2020.102794
CO2 and H2O fluxes due to green manuring under Mediterranean conditions.
Ferrara R.M., Martinelli N., Rana G., 2020.
Italian Journal of Agrometeorology (2): 45-53.
https://doi.org/10.13128/ijam-972
Reuse of process-based models: automatic transformation into many programming languages and simulation platforms
Midingoyi, C.A., Pradal, C., Athanasiadis, I.N, Donatelli, M., Enders, A., Fumagalli, D., Garcia, F., Holzworth, D., Hoogenboom, G., Porter, C., Raynal, H., Thorburn, P., Martre, P., 2020.
Silico Plants, Volume 2, Issue 1, 2020, diaa007, Published: 06 October 2020
doi: https://doi.org/10.1093/insilicoplants/diaa007
Susceptibility of novel Italian rice varieties to panicle blast under field conditions
Mongiano, G., Titone, P., Bregaglio, S., Tamborini, L., 2020.
bioRxiv 2020.04.23.057554
doi: https://doi.org/10.1101/2020.04.23.057554
Understanding effects of genotype × environment × sowing window interactions for durum wheat in the Mediterranean basin.
Padovan, G., Martre, P., Semenov, M.A., Masoni, A,. Bregaglio, S., et al., 2020.
Field Crops Research 259, 107969.
doi: https://doi.org/10.1016/j.fcr.2020.107969
The HADES Yield Prediction System – A Case Study on the Turkish Hazelnut Sector.
Bregaglio, S., Fischer, K., Ginaldi, F., Valeriano, T.T.B., Giustarini, L., 2021.
Frontiers in Plant Science.
doi: https://doi.org/10.3389/fpls.2021.665471
Comparing process-based wheat growth models in their simulation of yield losses caused by plant diseases.
Bregaglio, S., Willocquet, L., Kersebaum, K.C., Asseng, S., Savary, S., 2021.
Field Crops Research 265, 108108.
doi: https://doi.org/10.1016/j.fcr.2021.108108
Model-based evaluation of climate change impacts on rice grain quality in the main European rice district.
Cappelli, G., Bregaglio, S., 2021.
Food and Energy Security
doi: https://doi.org/10.1002/fes3.307
Ammonia, nitrous oxide, carbon dioxide, and water vapor fluxes after green manuring of faba bean under Mediterranean climate.
Ferrara R.M., Carozzi M., Decuq C., Loubet B., Finco A., Marzuoli R., Gerosa G., Di Tommasi P., Magliulo V., Rana G., 2021.
Agriculture, Ecosystems and Environment, 315, 107439.
https://doi.org/10.1016/j.agee.2021.107439
Limitations of an Eddy-Covariance System in Measuring Low Ammonia Fluxes.
Ferrara R.M., Di Tommasi P., Famulari D., Rana G., 2021.
Boundary-Layer Meteorology, 180, 173-186.
https://doi.org/10.1007/s10546-021-00612-6
Agricultural land suitability in a changing climate: a case study for hazelnut in Australia.
Jha P.J., Materia S., Zizzi G., Costa Saura J., Trabucco A., Evans J., Bregaglio S., 2021.
Agricultural Systems 186, 102982.
doi: https://doi.org/10.1016/j.agsy.2020.102982
Representativeness of Carbon Dioxide Fluxes Measured by Eddy Covariance over a Mediterranean Urban District with Equipment Setup Restrictions.
Rana G., Martinelli N.; Famulari D., Pezzati F., Muschitiello C.; Ferrara R.M., 2021.
Atmosphere 2021, 12, 197.
https://doi.org/10.3390/atmos12020197
A process-based model to simulate sugarcane orange rust severity from weather data in Southern Brazil.
Valeriano, T.T.B., de Souza Rolim, G., Manici, L.M., Giustarini, L., Bregaglio, S., 2021.
International Journal of Biometeorology 65(12), 2037–2051.
doi: https://link.springer.com/article/10.1007/s00484-021-02162-5
Varietal susceptibility overcomes climate change effects on the future trends of rice blast disease in Northern Italy.
Wang, H., Mongiano, G., Fanchini, D., Titone, P., Tamborini, L., Bregaglio, S., 2021.
Agricultural Systems 193, 103223
doi: https://doi.org/10.1016/j.agsy.2021.103223
Which are the most favourable conditions for reducing soil CO2 emissions with no-tillage? Results from a meta-analysis.
Bregaglio S., Mongiano G., Ferrara R.M., Ginaldi F., Lagomarsino A., Rana G., 2022.
International Soil and Water Conservation Research, ISSN 2095-6339.
https://doi.org/10.1016/j.iswcr.2022.05.003
Soil respiration during three cropping cycles of durum wheat under different tillage conditions in a Mediterranean environment.
Ferrara R.M., Campi, P., Muschitiello C., Leogrande R., Vonella A.V., Ventrella D., Rana G., 2022.
Soil Use and Management, 00,1–17.
https://doi.org/10.1111/sum.12802
Progetto Agridigit
AgriDigit prevede un coordinamento e sei sottoprogetti che coinvolgono svariate Unità Operative, con una caratterizzazione scientifica differente tra loro