Daniel Wallach
Daniel Wallach
INRA, University of Florida
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
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
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
Effect of internal rotation on angular correlation functions
D Wallach
The Journal of Chemical Physics 47 (12), 5258-5268, 1967
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
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
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
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
Working with dynamic crop models: evaluation, analysis, parameterization, and applications
D Wallach, D Makowski, JW Jones, F Brun
Elsevier, 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
Working with dynamic crop models: methods, tools and examples for agriculture and environment
D Wallach, D Makowski, JW Jones, F Brun
Academic Press, 2018
Evaluating crop models
D Wallach
Working with dynamic crop models, Elsevier, Amsterdam, The Netherlands, 11-53, 2006
Mean squared error of prediction in models for studying ecological and agronomic systems
D Wallach, B Goffinet
Biometrics, 561-573, 1987
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
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
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
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
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