|
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 |
|
|
Lotze-Campen, H.; von Witzke, H.; Noleppa, S.; Schwarz, G. |
Science for food, climate protection and welfare: An economic analysis of plant breeding research in Germany |
2015 |
Agricultural Systems |
136 |
79-84 |
|
|
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 |
|
|
D’Ottavio, P.; Francioni, M.; Trozzo, L.; Sedic, E.; Budimir, K.; Avanzolini, P.; Trombetta, M.F.; Porqueddu, C.; Santilocchi, R.; Toderi, M. |
Trends and approaches in the analysis of ecosystem services provided by grazing systems: A review |
2018 |
Grass and Forage Science |
73 |
15-25 |
|
|
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 |
|