| |
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Caubel, J.; García de Cortázar-Atauri, I.; Launay, M.; de Noblet-Ducoudré, N.; Huard, F.; Bertuzzi, P.; Graux, A.-I. |
Broadening the scope for ecoclimatic indicators to assess crop climate suitability according to ecophysiological, technical and quality criteria |
2015 |
Agricultural and Forest Meteorology |
207 |
94-106 |
|
|
|
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 |
|
|
|
Dono, G.; Cortignani, R.; Doro, L.; Giraldo, L.; Ledda, L.; Pasqui, M.; Roggero, P.P. |
Adapting to uncertainty associated with short-term climate variability changes in irrigated Mediterranean farming systems |
2013 |
Agricultural Systems |
117 |
1-12 |
|
|
|
Kraus, D.; Weller, S.; Klatt, S.; Haas, E.; Wassmann, R.; Kiese, R.; Butterbach-Bahl, K. |
A new LandscapeDNDC biogeochemical module to predict CH4 and N2O emissions from lowland rice and upland cropping systems |
2015 |
Plant and Soil |
386 |
125-149 |
|
|
|
Conradt, T.; Gornott, C.; Wechsung, F. |
Extending and improving regionalized winter wheat and silage maize yield regression models for Germany: Enhancing the predictive skill by panel definition through cluster analysis |
2016 |
Agricultural and Forest Meteorology |
216 |
68-81 |
|
