| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Tao, F.; Palosuo, T.; Roetter, R.P.; Hernandez Diaz-Ambrona, C.G.; Ines Minguez, M.; Semenov, M.A.; Kersebaum, K.C.; Cammarano, D.; Specka, X.; Nendel, C.; Srivastava, A.K.; Ewert, F.; Padovan, G.; Ferrise, R.; Martre, P.; Rodriguez, L.; Ruiz-Ramos, M.; Gaiser, T.; Hohn, J.G.; Salo, T.; Dibari, C.; Schulman, A.H. |
Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models |
2020 |
Agricultural and Forest Meteorology |
281 |
107851 |
| Zhang, S.; Tao, F.; Zhang, Z. |
Uncertainty from model structure is larger than that from model parameters in simulating rice phenology in China |
2017 |
European Journal of Agronomy |
87 |
30-39 |
| Carabano, M.J.; Logar, B.; Bormann, J.; Minet, J.; Vanrobays, M.L.; Diaz, C.; Tychon, B.; Gengler, N.; Hammami, H. |
Modeling heat stress under different environmental conditions |
2016 |
Journal of Dairy Science |
99 |
3798-3814 |
| Graß, R.; Thies, B.; Kersebaum, K.-C.; Wachendorf, M. |
Simulating dry matter yield of two cropping systems with the simulation model HERMES to evaluate impact of future climate change |
2015 |
European Journal of Agronomy |
70 |
1-10 |
| Conradt, T.; Gornott, C.; Wechsung, F. |
Extending and improving regionalized winter wheat and silage maize yield regression models for Germany: Enhancing the predictive skill by panel definition through cluster analysis |
2016 |
Agricultural and Forest Meteorology |
216 |
68-81 |
