| An overview of the crop model STICS N Brisson, C Gary, E Justes, R Roche, B Mary, D Ripoche, D Zimmer, ... European Journal of agronomy 18 (3-4), 309-332, 2003 | 1514 | 2003 |
| Uncertainty in simulating wheat yields under climate change S Asseng, F Ewert, C Rosenzweig, JW Jones, JL Hatfield, AC Ruane, ... Nature climate change 3 (9), 827-832, 2013 | 1376 | 2013 |
| STICS: a generic model for the simulation of crops and their water and nitrogen balances. I. Theory and parameterization applied to wheat and corn N Brisson, B Mary, D Ripoche, MH Jeuffroy, F Ruget, B Nicoullaud, P Gate, ... Agronomie 18 (5-6), 311-346, 1998 | 1189 | 1998 |
| Multimodel ensembles of wheat growth: many models are better than one P Martre, D Wallach, S Asseng, F Ewert, JW Jones, RP Rötter, KJ Boote, ... Global change biology 21 (2), 911-925, 2015 | 529 | 2015 |
| Climate change impact and adaptation for wheat protein S Asseng, P Martre, A Maiorano, RP Rötter, GJ O’Leary, GJ Fitzgerald, ... Global change biology 25 (1), 155-173, 2019 | 488 | 2019 |
| STICS: a generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize N Brisson, F Ruget, P Gate, J Lorgeou, B Nicoullaud, X Tayot, D Plenet, ... Agronomie 22 (1), 69-92, 2002 | 398 | 2002 |
| The uncertainty of crop yield projections is reduced by improved temperature response functions E Wang, P Martre, Z Zhao, F Ewert, A Maiorano, RP Rötter, BA Kimball, ... Nature plants 3 (8), 1-13, 2017 | 301 | 2017 |
| Accuracy, robustness and behavior of the STICS soil–crop model for plant, water and nitrogen outputs: evaluation over a wide range of agro-environmental conditions in France E Coucheney, S Buis, M Launay, J Constantin, B Mary, ... Environmental Modelling & Software 64, 177-190, 2015 | 212 | 2015 |
| Global wheat production with 1.5 and 2.0° C above pre‐industrial warming B Liu, P Martre, F Ewert, JR Porter, AJ Challinor, C Müller, AC Ruane, ... Global Change Biology 25 (4), 1428-1444, 2019 | 159 | 2019 |
| Multimodel ensembles improve predictions of crop–environment–management interactions D Wallach, P Martre, B Liu, S Asseng, F Ewert, PJ Thorburn, ... Global change biology 24 (11), 5072-5083, 2018 | 152 | 2018 |
| Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison H Webber, P Martre, S Asseng, B Kimball, J White, M Ottman, GW Wall, ... Field Crops Research 202, 21-35, 2017 | 132 | 2017 |
| How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield? JL Durand, K Delusca, K Boote, J Lizaso, R Manderscheid, HJ Weigel, ... European journal of agronomy 100, 67-75, 2018 | 115 | 2018 |
| Modelling climate change impacts on maize yields under low nitrogen input conditions in sub‐Saharan Africa GN Falconnier, M Corbeels, KJ Boote, F Affholder, M Adam, ... Global change biology 26 (10), 5942-5964, 2020 | 98 | 2020 |
| Harmonization and translation of crop modeling data to ensure interoperability CH Porter, C Villalobos, D Holzworth, R Nelson, JW White, ... Environmental modelling & software 62, 495-508, 2014 | 73 | 2014 |
| Soil organic carbon and nitrogen feedbacks on crop yields under climate change B Basso, B Dumont, B Maestrini, I Shcherbak, GP Robertson, JR Porter, ... Agricultural & Environmental Letters 3 (1), 180026, 2018 | 70 | 2018 |
| Multi-wheat-model ensemble responses to interannual climate variability AC Ruane, NI Hudson, S Asseng, D Cammarano, F Ewert, P Martre, ... Environmental Modelling & Software 81, 86-101, 2016 | 65 | 2016 |
| Uncertainty of wheat water use: simulated patterns and sensitivity to temperature and CO2 D Cammarano, RP Rötter, S Asseng, F Ewert, D Wallach, P Martre, ... Field Crops Research 198, 80-92, 2016 | 64 | 2016 |
| ORCHIDEE-CROP (v0), a new process-based agro-land surface model: model description and evaluation over Europe X Wu, N Vuichard, P Ciais, N Viovy, N de Noblet-Ducoudré, X Wang, ... Geoscientific Model Development 9 (2), 857-873, 2016 | 64 | 2016 |
| Pesticide fate modeling in soils with the crop model STICS: Feasibility for assessment of agricultural practices W Queyrel, F Habets, H Blanchoud, D Ripoche, M Launay Science of the Total Environment 542, 787-802, 2016 | 60 | 2016 |
| Application of the STICS crop model to predict nitrogen availability and nitrate transport in a tropical acid soil cropped with maize J Sierra, N Brisson, D Ripoche, C Noel Plant and soil 256, 333-345, 2003 | 51 | 2003 |
Marie LaunayAgroclim INRA確認したメール アドレス: inra.fr