| Author |
Title |
Year |
Publication  |
Volume |
Pages |
| Korhonen, P.; Palosuo, T.; Persson, T.; Höglind, M.; Jego, G.; Van Oijen, M.; Gustavsson, A.-M.; Belanger, G.; Virkajärvi, P. |
Modelling grass yields in northern climates – a comparison of three growth models for timothy |
2018 |
Field Crops Research |
224 |
37-47 |
| Wallach, D.; Nissanka, S.P.; Karunaratne, A.S.; Weerakoon, W.M.W.; Thorburn, P.J.; Boote, K.J.; Jones, J.W. |
Accounting for both parameter and model structure uncertainty in crop model predictions of phenology: A case study on rice |
2016 |
European Journal of Agronomy |
|
|
| Doltra, J.; Olesen, J.E.; Báez, D.; Louro, A.; Chirinda, N. |
Modeling nitrous oxide emissions from organic and conventional cereal-based cropping systems under different management, soil and climate factors |
2015 |
European Journal of Agronomy |
66 |
8-20 |
| Angulo, C.; Gaiser, T.; Rötter, R.P.; Børgesen, C.D.; Hlavinka, P.; Trnka, M.; Ewert, F. |
‘Fingerprints’ of four crop models as affected by soil input data aggregation |
2014 |
European Journal of Agronomy |
61 |
35-48 |
| 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 |
