Temperature increase reduces global yields of major crops in four independent estimates C Zhao, B Liu, S Piao, X Wang, DB Lobell, Y Huang, M Huang, Y Yao, ... Proceedings of the National Academy of sciences 114 (35), 9326-9331, 2017 | 2511 | 2017 |
Rising temperatures reduce global wheat production S Asseng, F Ewert, P Martre, RP Rötter, DB Lobell, D Cammarano, ... Nature climate change 5 (2), 143-147, 2015 | 2309 | 2015 |
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 | 1357 | 2013 |
The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies C Rosenzweig, JW Jones, JL Hatfield, AC Ruane, KJ Boote, P Thorburn, ... Agricultural and forest meteorology 170, 166-182, 2013 | 1130 | 2013 |
Similar estimates of temperature impacts on global wheat yield by three independent methods B Liu, S Asseng, C Müller, F Ewert, J Elliott, DB Lobell, P Martre, ... Nature Climate Change 6 (12), 1130-1136, 2016 | 573 | 2016 |
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 | 519 | 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 | 473 | 2019 |
Effect of internal rotation on angular correlation functions D Wallach The Journal of Chemical Physics 47 (12), 5258-5268, 1967 | 464 | 1967 |
Mean squared error of prediction as a criterion for evaluating and comparing system models D Wallach, B Goffinet Ecological modelling 44 (3-4), 299-306, 1989 | 417 | 1989 |
Diverging importance of drought stress for maize and winter wheat in Europe H Webber, F Ewert, JE Olesen, C Müller, S Fronzek, AC Ruane, ... Nature communications 9 (1), 4249, 2018 | 357 | 2018 |
Crop modelling for integrated assessment of risk to food production from climate change F Ewert, RP Rötter, M Bindi, H Webber, M Trnka, KC Kersebaum, ... Environmental Modelling & Software 72, 287-303, 2015 | 335 | 2015 |
Working with dynamic crop models: evaluation, analysis, parameterization, and applications D Wallach, D Makowski, JW Jones, F Brun Elsevier, 2006 | 298 | 2006 |
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 | 296 | 2017 |
Working with dynamic crop models: methods, tools and examples for agriculture and environment D Wallach, D Makowski, JW Jones, F Brun Academic Press, 2018 | 268 | 2018 |
Mean squared error of prediction in models for studying ecological and agronomic systems D Wallach, B Goffinet Biometrics, 561-573, 1987 | 217 | 1987 |
Evaluating crop models D Wallach Working with dynamic crop models, Elsevier, Amsterdam, The Netherlands, 11-53, 2006 | 212 | 2006 |
Improving the use of crop models for risk assessment and climate change adaptation AJ Challinor, C Müller, S Asseng, C Deva, KJ Nicklin, D Wallach, ... Agricultural systems 159, 296-306, 2018 | 199 | 2018 |
Using a Bayesian approach to parameter estimation; comparison of the GLUE and MCMC methods D Makowski, D Wallach, M Tremblay Agronomie 22 (2), 191-203, 2002 | 184 | 2002 |
Predicting maize phenology: intercomparison of functions for developmental response to temperature S Kumudini, FH Andrade, KJ Boote, GA Brown, KA Dzotsi, GO Edmeades, ... Agronomy Journal 106 (6), 2087-2097, 2014 | 180 | 2014 |
Parameter estimation for crop models: a new approach and application to a corn model D Wallach, B Goffinet, JE Bergez, P Debaeke, D Leenhardt, JN Aubertot Agronomy journal 93 (4), 757-766, 2001 | 171 | 2001 |