| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links  |
|
|
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 |
|
|
|
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 |
|
|
|
Rötter, R.P.; Appiah, M.; Fichtler, E.; Kersebaum, K.C.; Trnka, M.; Hoffmann, M.P. |
Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes-A review |
2018 |
Field Crops Research |
221 |
142-156 |
|
|
|
Mäkinen, H.; Kaseva, J.; Trnka, M.; Balek, J.; Kersebaum, K.C.; Nendel, C.; Gobin, A.; Olesen, J.E.; Bindi, M.; Ferrise, R.; Moriondo, M.; Rodriguez, A.; Ruiz-Ramos, M.; Takáč, J.; Bezák, P.; Ventrella, D.; Ruget, F.; Capellades, G.; Kahiluoto, H. |
Sensitivity of European wheat to extreme weather |
2018 |
Field Crops Research |
222 |
209-217 |
|
|
|
Bai, H.; Tao, F. |
Sustainable intensification options to improve yield potential and ecoefficiency for rice-wheat rotation system in China |
2017 |
Field Crops Research |
211 |
89-105 |
|
