|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Reidsma, P.; Wolf, J.; Kanellopoulos, A.; Schaap, B.F.; Mandryk, M.; Verhagen, J.; van Ittersum, M.K. |
Climate change impact and adaptation research requires integrated assessment and farming systems analysis: a case study in the Netherlands |
2015 |
Environmental Research Letters |
10 |
045004 |
|
|
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 |
|
|
Van Oijen, M.; Höglind, M. |
Toward a Bayesian procedure for using process-based models in plant breeding, with application to ideotype design |
2016 |
Euphytica |
207 |
627-643 |
|
|
Tao, F.; Roetter, R.P.; Palosuo, T.; Diaz-Ambrona, C.G.H.; Ines Minguez, M.; Semenov, M.A.; Kersebaum, K.C.; Nendel, C.; Cammarano, D.; Hoffmann, H.; Ewert, F.; Dambreville, A.; Martre, P.; Rodriguez, L.; Ruiz-Ramos, M.; Gaiser, T.; Hohn, J.G.; Salo, T.; Ferrise, R.; Bindi, M.; Schulman, A.H. |
Designing future barley ideotypes using a crop model ensemble |
2017 |
European Journal of Agronomy |
82 |
144-162 |
|
|
Sharif, B.; Makowski, D.; Plauborg, F.; Olesen, J.E. |
Comparison of regression techniques to predict response of oilseed rape yield to variation in climatic conditions in Denmark |
2017 |
European Journal of Agronomy |
82 |
11-20 |
|