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Modelling nitrogen and light sharing in pea-wheat intercrops to design decision rules for N fertilisation according to farmers’ expectations
Philippe Malagoli, Christophe Naudin, Sylvain Vrignon-Brenas, Mathilde Sester, Marie-Hélène Jeuffroy and Guénaëlle Corre-Hellou Field Crops Research 255 107865 (2020) https://doi.org/10.1016/j.fcr.2020.107865
Azodyn-Barley, a winter-barley crop model for predicting and ranking genotypic yield, grain protein and grain size in contrasting pedoclimatic conditions
Agronomic model uses to predict cultivar performance in various environments and cropping systems. A review
Marie-Hélène Jeuffroy, Pierre Casadebaig, Philippe Debaeke, Chantal Loyce and Jean-Marc Meynard Agronomy for Sustainable Development 34(1) 121 (2014) https://doi.org/10.1007/s13593-013-0170-9
Comment favoriser la régulation biologique des insectes de l’échelle de la parcelle à celle du paysage agricole, pour aboutir à des stratégies de protection intégrée sur le colza d’hiver ?
Validation of biophysical models: issues and methodologies. A review
Gianni Bellocchi, Mike Rivington, Marcello Donatelli and Keith Matthews Agronomy for Sustainable Development 30(1) 109 (2010) https://doi.org/10.1051/agro/2009001
A sequential approach for improving AZODYN crop model under conventional and low-input conditions
Is it useful to combine measurements taken during the growing season with a dynamic model to predict the nitrogen status of winter wheat?
Cédric Naud, David Makowski and Marie-Hélène Jeuffroy European Journal of Agronomy 28(3) 291 (2008) https://doi.org/10.1016/j.eja.2007.08.005
Marie-Hélène Jeuffroy, Jacques-Eric Bergez, Christophe David, Francis Flénet, Philippe Gate, Chantal Loyce, Fabienne Maupas, Jean-Marc Meynard, Raymond Reau and Caroline Surleau-Chambenoit 109 (2008) https://doi.org/10.3917/edagri.reau.2008.01.0109
Comparison of models and indicators for categorizing soft wheat fields according to their grain protein contents