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Maiorano, A.; Martre, P.; Asseng, S.; Ewert, F.; Müller, C.; Rötter, R.P.; Ruane, A.C.; Semenov, M.A.; Wallach, D.; Wang, E.; Alderman, P.D.; Kassie, B.T.; Biernath, C.; Basso, B.; Cammarano, D.; Challinor, A.J.; Doltra, J.; Dumont, B.; Rezaei, E.E.; Gayler, S.; Kersebaum, K.C.; Kimball, B.A.; Koehler, A.-K.; Liu, B.; O’Leary, G.J.; Olesen, J.E.; Ottman, M.J.; Priesack, E.; Reynolds, M.; Stratonovitch, P.; Streck, T.; Thorburn, P.J.; Waha, K.; Wall, G.W.; White, J.W.; Zhao, Z.; Zhu, Y. Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles 2016 Field Crops Research 202 5-20 details   doi
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 details   doi
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 details   doi
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 details   doi
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 details   doi
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