| |
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 |
|
|
|
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 |
|
|
|
Lizaso, J.I.; Ruiz-Rarnos, M.; Rodriguez, L.; Gabaldon-Leal, C.; Oliveira, J.A.; Lorite, I.J.; Sanchez, D.; Garcia, E.; Rodriguez, A. |
Impact of high temperatures in maize: Phenology and yield components |
2018 |
Field Crops Research |
216 |
129-140 |
|
|
|
Ventrella, D.; Charfeddine, M.; Giglio, L.; Castellini, M. |
Application of DSSAT models for an agronomic adaptation strategy under climate change in Southern of Italy: optimum sowing and transplanting time for winter durum wheat and tomato |
2012 |
Italian Journal of Agronomy |
7 |
16 |
|
|
|
Martre, P.; He, J.; Le Gouis, J.; Semenov, M.A. |
In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management |
2015 |
Journal of Experimental Botany |
66 |
3581-3598 |
|
