| Author |
Title |
Year |
Publication |
Volume |
Pages |
| 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 |
| Ferrise, R.; Toscano, P.; Pasqui, M.; Moriondo, M.; Primicerio, J.; Semenov, M.A.; Bindi, M. |
Monthly-to-seasonal predictions of durum wheat yield over the Mediterranean Basin |
2015 |
Climate Research |
65 |
7-21 |
| Valin, H.; Sands, R.D.; van der Mensbrugghe, D. and; Nelson, G.C.; Ahammad, H.; Blanc, E.; Bodirsky; Benjamin; Fujimori, S.; Hasegawa, T.; Havlik, P.; and Heyhoe, E.; Kyle, P.; Mason-D’Croz, D.; Paltsev; Sergey; Rolinski, S.; Tabeau, A.; van Meijl, H. and; von Lampe, M.; Willenbockel, D. |
The future of food demand: Understanding differences in global economic models |
2014 |
Agricultural Economics |
45 |
51-67 |
| Montesino-San Martín, M.; Olesen, J.E.; Porter, J.R. |
A genotype, environment and management (GxExM) analysis of adaptation in winter wheat to climate change in Denmark |
2014 |
Agricultural and Forest Meteorology |
187 |
1-13 |
| 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 |
