Working with dynamic crop models D Wallach, D Makowski, JW Jones, F Brun Academic Press-Elsevier, 2014 | 597* | 2014 |
Working with dynamic crop models: methods, tools and examples for agriculture and environment D Wallach, D Makowski, JW Jones, F Brun Academic Press, 2018 | 329 | 2018 |
Working with Dynamic Crop Models: Methods, Tools and Examples for Agriculture and Environment D Wallach, D Makowski, JW Jones, F Brun Academic Press, 2013 | 329* | 2013 |
Honeybee tracking with microchips: a new methodology to measure the effects of pesticides A Decourtye, J Devillers, P Aupinel, F Brun, C Bagnis, J Fourrier, ... Ecotoxicology 20, 429-437, 2011 | 181 | 2011 |
Plant response to nitrate starvation is determined by N storage capacity matched by nitrate uptake capacity in two Arabidopsis genotypes C Richard-Molard, A Krapp, F Brun, B Ney, F Daniel-Vedele, S Chaillou Journal of experimental botany 59 (4), 779-791, 2008 | 99 | 2008 |
From Experimental Network to Meta-analysis D Makowski, F Piraux, F Brun Springer Netherlands, 2019 | 97 | 2019 |
Modelling climate change impact on Septoria tritici blotch (STB) in France: accounting for climate model and disease model uncertainty D Gouache, A Bensadoun, F Brun, C Pagé, D Makowski, D Wallach Agricultural and forest meteorology 170, 242-252, 2013 | 76 | 2013 |
Forecasting severe grape downy mildew attacks using machine learning M Chen, F Brun, M Raynal, D Makowski PloS one 15 (3), e0230254, 2020 | 67 | 2020 |
Predictive systems models can help elucidate bee declines driven by multiple combined stressors M Henry, MA Becher, JL Osborne, PJ Kennedy, P Aupinel, V Bretagnolle, ... Apidologie, 1-12, 2016 | 60 | 2016 |
Modelling pesticides leaching in cropping systems: Effect of uncertainties in climate, agricultural practices, soil and pesticide properties SK Lammoglia, F Brun, T Quemar, J Moeys, E Barriuso, B Gabrielle, ... Environmental Modelling & Software 109, 342-352, 2018 | 56 | 2018 |
Climate change effects on leaf rust of wheat: Implementing a coupled crop-disease model in a French regional application J Caubel, M Launay, D Ripoche, D Gouache, S Buis, F Huard, L Huber, ... European Journal of Agronomy 90, 53-66, 2017 | 53 | 2017 |
Modelling and mapping potential epidemics of wheat diseases—examples on leaf rust and Septoria tritici blotch using EPIWHEAT S Savary, S Stetkiewicz, F Brun, L Willocquet European Journal of Plant Pathology 142, 771-790, 2015 | 49 | 2015 |
Assessing the uncertainty when using a model to compare irrigation strategies D Wallach, N Keussayan, F Brun, B Lacroix, JE Bergez Agronomy journal 104 (5), 1274-1283, 2012 | 49 | 2012 |
Combining input uncertainty and residual error in crop model predictions: A case study on vineyards S Roux, F Brun, D Wallach European Journal of Agronomy 52, 191-197, 2014 | 39 | 2014 |
Model evaluation D Wallach, D Makowski, JW Jones, F Brun Working with dynamic crop models 3, 311-373, 2014 | 37 | 2014 |
Uncertainty and sensitivity analysis D Wallach, D Makowski, JW Jones, F Brun Working with Dynamic Crop Models: Methods, Tools and Examples for …, 2014 | 29* | 2014 |
To what extent may changes in the root system architecture of Arabidopsis thaliana grown under contrasted homogenous nitrogen regimes be explained by changes in carbon supply … F Brun, C Richard-Molard, L Pagès, M Chelle, B Ney Journal of Experimental Botany 61 (8), 2157-2169, 2010 | 28 | 2010 |
Delaying the first grapevine fungicide application reduces exposure on operators by half M Chen, F Brun, M Raynal, D Makowski Scientific Reports 10 (1), 6404, 2020 | 24 | 2020 |
Global sensitivity analysis of a pig fattening unit model simulating technico-economic performance and environmental impacts A Cadéro, A Aubry, F Brun, JY Dourmad, Y Salaün, F Garcia-Launay Agricultural Systems 165, 221-229, 2018 | 19 | 2018 |
A framework based on generalised linear mixed models for analysing pest and disease surveys L Michel, F Brun, D Makowski Crop Protection 94, 1-12, 2017 | 18 | 2017 |