| Author |
Title  |
Year |
Publication |
Volume |
Pages |
| Nendel, C.; Thorburn, P.; Melzer, D.; Cerri, C.E.P.; Claessens, L.; Aggarwal, P.K.; Adam, M.; Angulo, C.; Asseng, S.; Baron, C.; Basso, B.; Bassu, S.; Bertuzzi, P.; Biernath, C.; Boogaard, H.; Boote, K.J.; Brisson, N.; Cammarano, D.; Conijn, S.; Corbeels, M.; Deryng, D.; Sanctis, G.D.; Doltra, J.; Durand, J.L.; Ewert, F.; Gayler, S.; Goldberg, R.; Grant, R.; Grassini, P.; Heng, L.; Hoek, S.B.; Hooker, J.A.U.-, L.A.H.; Ingwersen, J.; Izaurralde, C.; Jongschaap, R.; Kemanian, A.; Kersebaum, K.C.; Lizaso, J.; Makowski, D.; Martre, P.; Müller, C.; Kim, S.H.; Kumar, S.N.; O’Leary, G.; Olesen, J.E.; Osborne, T.; Palosuo, T.; Pravia, M.V.; Priesack, E.; Ripoche, D.A.U.-, R.P.R.; Sau, F.; Semenov, M.A.; Shcherbak, I.; Steduto, P.; Stöckle, C.; Stratonovitch, P.; Streck, T.; Supit, I.; Tao, F.L.; Teixeira, E.; Timlin, D.; Travasso, M.; Waha, K.; Wallach, D.; White, J.W.; Wolf, J. |
Soil nitrogen mineralisation simulated by crop models across different environments and the consequences for model improvement |
2016 |
|
|
|
| van Bussel, L.G.J.; Ewert, F.; Zhao, G.; Hoffmann, H.; Enders, A.; Wallach, D.; Asseng, S.; Baigorria, G.A.; Basso, B.; Biernath, C.; Cammarano, D.; Chryssanthacopoulos, J.; Constantin, J.; Elliott, J.; Glotter, M.; Heinlein, F.; Kersebaum, K.-C.; Klein, C.; Nendel, C.; Priesack, E.; Raynal, H.; Romero, C.C.; Rötter, R.P.; Specka, X.; Tao, F. |
Spatial sampling of weather data for regional crop yield simulations |
2016 |
Agricultural and Forest Meteorology |
220 |
101-115 |
| Kipling, R.P.; Özkan Gülzari, Ş. |
Stakeholder engagement and the perceptions of researchers: how agricultural modellers view challenges to communication |
2016 |
Advances in Animal Biosciences |
7 |
240-241 |
| Kipling, R.; Özkan, Ş. |
Stakeholder engagement and the perceptions of researchers: How agricultural modellers view challenges to communication |
2016 |
FACCE MACSUR Reports |
8 |
SP8-20 |
| Murat, M.; Malinowska, I.; Hoffmann, H.; Baranowski, P. |
Statistical modelling of agrometeorological time series by exponential smoothing |
2016 |
International Agrophysics |
30 |
57-65 |
