| |
Author |
Title  |
Year |
Publication |
Volume |
Pages |
Links |
|
|
Acutis, M.; Bellocchi, G. |
Briefing on CropM-LiveM model intercomparison protocol |
2013 |
|
|
|
|
|
|
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 |
|
|
|
Minet, J.; Tychon, B.; Jacquemin, I.; François, L. |
Can a global dynamic vegetation model be used for both grassland and crop modeling at the local scale |
2014 |
|
|
|
|
|
|
Webber, H.; Martre, P.; Asseng, S.; Kimball, B.; White, J.; Ottman, M.; Wall, G.W.; De Sanctis, G.; Doltra, J.; Grant, R.; Kassie, B.; Maiorano, A.; Olesen, J.E.; Ripoche, D.; Rezaei, E.E.; Semenov, M.A.; Stratonovitch, P.; Ewert, F. |
Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison |
2017 |
Field Crops Research |
202 |
21-35 |
|
|
|
Wang, E.; et, A. |
Causes for uncertainty in simulating wheat response to temperature |
2014 |
|
|
|
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