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 | 481 | 2019 |
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 | 298 | 2017 |
Environmental and economic benefits of variable rate nitrogen fertilization in a nitrate vulnerable zone B Basso, B Dumont, D Cammarano, A Pezzuolo, F Marinello, L Sartori Science of the total environment 545, 227-235, 2016 | 220 | 2016 |
Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces N Pirttioja, TR Carter, S Fronzek, M Bindi, H Hoffmann, T Palosuo, ... Climate Research 65, 87-105, 2015 | 165 | 2015 |
Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles A Maiorano, P Martre, S Asseng, F Ewert, C Müller, RP Rötter, AC Ruane, ... Field crops research 202, 5-20, 2017 | 157 | 2017 |
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 | 155 | 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 | 150 | 2018 |
Adaptation response surfaces for managing wheat under perturbed climate and CO2 in a Mediterranean environment M Ruiz-Ramos, R Ferrise, A Rodríguez, IJ Lorite, M Bindi, TR Carter, ... Agricultural Systems 159, 260-274, 2018 | 116 | 2018 |
Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ... Plant Phenomics, 2021 | 97 | 2021 |
Simulation of maize evapotranspiration: An inter-comparison among 29 maize models BA Kimball, KJ Boote, JL Hatfield, LR Ahuja, C Stockle, S Archontoulis, ... Agricultural and Forest Meteorology 271, 264-284, 2019 | 97 | 2019 |
Parameter identification of the STICS crop model, using an accelerated formal MCMC approach B Dumont, V Leemans, M Mansouri, B Bodson, JP Destain, MF Destain Environmental Modelling & Software 52, 121-135, 2014 | 73 | 2014 |
Impact of crop residue management on crop production and soil chemistry after seven years of crop rotation in temperate climate, loamy soils MP Hiel, S Barbieux, J Pierreux, C Olivier, G Lobet, C Roisin, S Garré, ... PeerJ 6, e4836, 2018 | 72 | 2018 |
Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change S Fronzek, N Pirttioja, TR Carter, M Bindi, H Hoffmann, T Palosuo, ... Agricultural systems 159, 209-224, 2018 | 72 | 2018 |
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 |
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise D Wallach, T Palosuo, P Thorburn, Z Hochman, E Gourdain, ... Environmental Modelling & Software 145, 105206, 2021 | 58 | 2021 |
Evaluating the impact of soil conservation measures on soil organic carbon at the farm scale A Pezzuolo, B Dumont, L Sartori, F Marinello, MDA Migliorati, B Basso Computers and Electronics in Agriculture 135, 175-182, 2017 | 58 | 2017 |
Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations A Rodríguez, M Ruiz-Ramos, T Palosuo, TR Carter, S Fronzek, IJ Lorite, ... Agricultural and Forest Meteorology 264, 351-362, 2019 | 50 | 2019 |
A comparison of within-season yield prediction algorithms based on crop model behaviour analysis B Dumont, B Basso, V Leemans, B Bodson, JP Destain, MF Destain Agricultural and Forest Meteorology 204, 10-21, 2015 | 44 | 2015 |
How Far Can Consumer-Grade UAV RGB Imagery Describe Crop Production? A 3D and Multitemporal Modeling Approach Applied to Zea mays A Michez, S Bauwens, Y Brostaux, MP Hiel, S Garré, P Lejeune, ... Remote Sensing 10 (11), 1798, 2018 | 41 | 2018 |
Imaging wheat canopy through stereo vision: Overcoming the challenges of the laboratory to field transition for morphological features extraction S Dandrifosse, A Bouvry, V Leemans, B Dumont, B Mercatoris Frontiers in plant science 11, 96, 2020 | 40 | 2020 |