Follow
Daniel Wallach
Daniel Wallach
INRA, University of Florida
Verified email at toulouse.inra.fr
Title
Cited by
Cited by
Year
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
21762017
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
21272015
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
13142013
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
10832013
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
5172016
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
4942015
Effect of internal rotation on angular correlation functions
D Wallach
The Journal of Chemical Physics 47 (12), 5258-5268, 1967
4301967
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
4092019
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
3831989
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
3182018
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
3142015
Working with dynamic crop models: evaluation, analysis, parameterization, and applications
D Wallach, D Makowski, JW Jones, F Brun
Elsevier, 2006
2882006
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
2742017
Working with dynamic crop models: methods, tools and examples for agriculture and environment
D Wallach, D Makowski, JW Jones, F Brun
Academic Press, 2018
2502018
Mean squared error of prediction in models for studying ecological and agronomic systems
D Wallach, B Goffinet
Biometrics, 561-573, 1987
2081987
Evaluating crop models
D Wallach
Working with dynamic crop models, Elsevier, Amsterdam, The Netherlands, 11-53, 2006
2062006
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
1812018
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
1812002
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
1712001
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
1702014
The system can't perform the operation now. Try again later.
Articles 1–20