| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Schauberger, B.; Rolinski, S.; Müller, C. |
A network-based approach for semi-quantitative knowledge mining and its application to yield variability |
2016 |
Environmental Research Letters |
11 |
123001 |
| Lehtonen, H. |
Evaluating adaptation and the production development of Finnish agriculture in climate and global change |
2015 |
Agricultural and Food Science |
24 |
219-234 |
| Sanna, M.; Bellocchi, G.; Fumagalli, M.; Acutis, M. |
A new method for analysing the interrelationship between performance indicators with an application to agrometeorological models |
2015 |
Environmental Modelling & Software |
73 |
286-304 |
| Sánchez, B.; Rasmussen, A.; Porter, J.R. |
Temperatures and the growth and development of maize and rice: a review |
2014 |
Global Change Biology |
20 |
408-417 |
| 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 |
