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Current knowledge and future research opportunities for modeling annual crop mixtures. A review

Noémie Gaudio 1 Abraham Escobar-Gutiérrez 2 Pierre Casadebaig 1 Jochem Evers 3 Frederic Gerard 4 Gaëtan Louarn 2 Nathalie Colbach 5 Sebastian Munz 6 Marie Launay 7 Hélène Marrou 8 Romain Barillot 2 Philippe Hinsinger 4 Jacques-Eric Bergez 1 Didier Combes 2 Jean-Louis Durand 2 Ela Frak 2 Loic Pagès 9 Christophe Pradal 10, 11 Sébastien Saint-Jean 12 Wopke van der Werf 3 Eric Justes 8
1 AGIR - AGroécologie, Innovations, teRritoires
2 P3F - Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères
3 WUR - Wageningen University and Research [Wageningen]
4 UMR Eco&Sols - Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes
5 Agroécologie [Dijon]
6 University of Hohenheim
7 AGROCLIM - Agroclim
8 UMR SYSTEM - Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens
9 PSH - Unité de recherche Plantes et Systèmes de Culture Horticoles
10 UMR AGAP - Amélioration génétique et adaptation des plantes méditerranéennes et tropicales
11 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
12 ECOSYS - Ecologie fonctionnelle et écotoxicologie des agroécosystèmes
Abstract : Growing mixtures of annual arable crop species or genotypes is a promising way to improve crop production without increasing agricultural inputs. To design optimal crop mixtures, choices of species, genotypes, sowing proportion, plant arrangement, and sowing date need to be made but field experiments alone are not sufficient to explore such a large range of factors. Crop modeling allows to study, understand, and ultimately design cropping systems and is an established method for sole crops. Recently, modeling started to be applied to annual crop mixtures as well. Here, we review to what extent crop simulation models and individual-based models are suitable to capture and predict the specificities of annual crop mixtures. We argued that (1) the crop mixture spatio-temporal heterogeneity (influencing the occurrence of ecological processes) determines the choice of the model-ing approach (plant or crop centered). (2) Only few crop models (adapted from sole crop models) and individual-based models currently exist to simulate annual crop mixtures. Crop models are mainly used to address issues related to both crop mixtures management and the integration of crop mixtures into larger scales such as the rotation. In contrast, individual-based models are mainly used to identify plant traits involved in crop mixture performance and to quantify the relative contribution of the different ecological processes (niche complementarity, facilitation, competition, plasticity) to crop mixture functioning. This review highlights that modeling of annual crop mixtures is in its infancy and gives to model users some important keys to choose the model based on the questions they want to answer, with awareness of the strengths and weaknesses of each of the modeling approaches.
Mots-clés : annual crop mixtures genotypes mixtures crop models functional-structural plant models model users
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https://hal.inria.fr/hal-02228974
Déposant : Christophe Pradal <>
Soumis le : jeudi 1 août 2019 - 09:27:28
Dernière modification le : jeudi 4 mars 2021 - 15:26:07
Archivage à long terme le : : mercredi 8 janvier 2020 - 13:55:31

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UNIV-BOURGOGNE | INRA | ZENITH | CNRS | LIRMM | AGROPOLIS | CIRAD | IRD | AGROPARISTECH | MIPS | INRIA | ECOSYS | UNIV-MONTPELLIER | AGROECOLOGIE | MONTPELLIER-SUPAGRO | TDS-MACS | INRAE | ARINRAE-ASD | ARINRAE-ARCHIVES | ARINRAE

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Noémie Gaudio, Abraham Escobar-Gutiérrez, Pierre Casadebaig, Jochem Evers, Frederic Gerard, et al.. Current knowledge and future research opportunities for modeling annual crop mixtures. A review. Agronomy for Sustainable Development, Springer Verlag/EDP Sciences/INRA, 2019, 39 (2), pp.1-39. ⟨10.1007/s13593-019-0562-6⟩. ⟨hal-02228974⟩

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