David Makowski
David Makowski
INRA
Adresse e-mail validée de inrae.fr
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Mixing plant species in cropping systems: concepts, tools and models: a review
E Malézieux, Y Crozat, C Dupraz, M Laurans, D Makowski, ...
Sustainable agriculture, 329-353, 2009
8642009
Facing up to the paradigm of ecological intensification in agronomy: revisiting methods, concepts and knowledge
T Doré, D Makowski, E Malézieux, N Munier-Jolain, M Tchamitchian, ...
European Journal of Agronomy 34 (4), 197-210, 2011
5052011
Evidence for mantle metasomatism by hydrous silicic melts derived from subducted oceanic crust
G Prouteau, B Scaillet, M Pichavant, R Maury
Nature 410 (6825), 197-200, 2001
4852001
How do various maize crop models vary in their responses to climate change factors?
S Bassu, N Brisson, JL Durand, K Boote, J Lizaso, JW Jones, ...
Global change biology 20 (7), 2301-2320, 2014
4842014
Working with dynamic crop models: evaluation, analysis, parameterization, and applications
D Wallach, D Makowski, JW Jones, F Brun
Elsevier, 2006
432*2006
Agri-environmental indicators to assess cropping and farming systems. A review
C Bockstaller, L Guichard, D Makowski, A Aveline, P Girardin, ...
Agronomy for sustainable development 28 (1), 139-149, 2008
3372008
Reducing pesticide use while preserving crop productivity and profitability on arable farms
M Lechenet, F Dessaint, G Py, D Makowski, N Munier-Jolain
Nature Plants 3 (3), 1-6, 2017
2042017
Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models
M Lamboni, H Monod, D Makowski
Reliability Engineering & System Safety 96 (4), 450-459, 2011
1792011
Multivariate global sensitivity analysis for dynamic crop models
M Lamboni, D Makowski, S Lehuger, B Gabrielle, H Monod
Field Crops Research 113 (3), 312-320, 2009
1642009
Pea–wheat intercrops in low-input conditions combine high economic performances and low environmental impacts
E Pelzer, M Bazot, D Makowski, G Corre-Hellou, C Naudin, M Al Rifaï, ...
European Journal of Agronomy 40, 39-53, 2012
1582012
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
1562002
Working with dynamic crop models: methods, tools and examples for agriculture and environment
D Wallach, D Makowski, JW Jones, F Brun
Academic Press, 2018
1502018
Assessment of the quality of meta-analysis in agronomy
A Philibert, C Loyce, D Makowski
Agriculture, Ecosystems & Environment 148, 72-82, 2012
1452012
Temporal niche differentiation increases the land equivalent ratio of annual intercrops: a meta-analysis
Y Yu, TJ Stomph, D Makowski, W van der Werf
Field Crops Research 184, 133-144, 2015
1432015
Global sensitivity analysis for calculating the contribution of genetic parameters to the variance of crop model prediction
D Makowski, C Naud, MH Jeuffroy, A Barbottin, H Monod
Reliability Engineering & System Safety 91 (10-11), 1142-1147, 2006
1262006
An open platform to build, evaluate and simulate integrated models of farming and agro-ecosystems
JE Bergez, P Chabrier, C Gary, MH Jeuffroy, D Makowski, G Quesnel, ...
Environmental Modelling & Software 39, 39-49, 2013
1222013
Models of yield, grain protein, and residual mineral nitrogen responses to applied nitrogen for winter wheat
D Makowski, D Wallach, JM Meynard
Agronomy Journal 91 (3), 377-385, 1999
1221999
Estimating variability in grain legume yields across Europe and the Americas
C Cernay, T Ben-Ari, E Pelzer, JM Meynard, D Makowski
Scientific reports 5 (1), 1-11, 2015
1082015
Analyse de sensibilité et exploration de modèles: application aux sciences de la nature et de l'environnement
B Iooss, S Mahévas, D Makowski, H Monod
Editions Quae, 2013
1042013
Which decision support tools for the environmental management of nitrogen?
JM Meynard, M Cerf, L Guichard, MH Jeuffroy, D Makowski
Agronomie 22 (7-8), 817-829, 2002
1032002
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