|
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 |
|
|
Siebert, S.; Webber, H.; Zhao, G.; Ewert, F.; Siebert, S.; Webber, H.; Zhao, G.; Ewert, F. |
Heat stress is overestimated in climate impact studies for irrigated agriculture |
2017 |
Environmental Research Letters |
12 |
054023 |
|
|
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 |
|
|
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 |
|
|
Lizaso, J.I.; Ruiz-Ramos, M.; Rodriguez, L.; Gabaldon-Leal, C.; Oliveira, J.A.; Lorite, I.J.; Rodriguez, A.; Maddonni, G.A.; Otegui, M.E. |
Modeling the response of maize phenology, kernel set, and yield components to heat stress and heat shock with CSM-IXIM |
2017 |
Field Crops Research |
214 |
239-252 |
|