| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Ben Touhami, H.; Bellocchi, G. |
Bayesian calibration of the Pasture Simulation model (PaSim) to simulate European grasslands under water stress |
2015 |
Ecological Informatics |
30 |
356-364 |
| Van Oijen, M.; Höglind, M. |
Toward a Bayesian procedure for using process-based models in plant breeding, with application to ideotype design |
2016 |
Euphytica |
207 |
627-643 |
| Tao, F.; Roetter, R.P.; Palosuo, T.; Hernandez Diaz-Ambrona, C.G.; Ines Minguez, M.; Semenov, M.A.; Kersebaum, K.C.; Nendel, C.; Specka, X.; Hoffmann, H.; Ewert, F.; Dambreville, A.; Martre, P.; Rodriguez, L.; Ruiz-Ramos, M.; Gaiser, T.; Hohn, J.G.; Salo, T.; Ferrise, R.; Bindi, M.; Cammarano, D.; Schulman, A.H. |
Contribution of crop model structure, parameters and climate projections to uncertainty in climate change impact assessments |
2018 |
Global Change Biology |
24 |
1291-1307 |
| Ponti, L.; Gutierrez, A.P.; Ruti, P.M.; Dell’Aquila, A. |
Fine-scale ecological and economic assessment of climate change on olive in the Mediterranean Basin reveals winners and losers |
2014 |
Proceedings of the National Academy of Sciences of the United States of America |
111 |
5598-5603 |
| Scholten, M.C.T. |
Research and innovation for a competitive and sustainable animal production sector in a climate changing Europe: linking up MACSUR with Animal Task Force |
2015 |
Advances in Animal Biosciences |
6 |
1-2 |
