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

Noémie Gaudio, Abraham J. Escobar-Gutiérrez, Pierre Casadebaig, Jochem B. Evers, Frédéric Gérard, Gaëtan Louarn, Nathalie Colbach, Sebastian Munz, Marie Launay, Hélène Marrou, Romain Barillot, Philippe Hinsinger, Jacques Eric Bergez, Didier Combes, Jean Louis Durand, Ela Frak, Loïc Pagès, Christophe Pradal, Sébastien Saint-Jean, Wopke van der Werf & 1 others Eric Justes

Research output: Contribution to journalReview articleAcademicpeer-review

2 Citations (Scopus)

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 modeling 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.

LanguageEnglish
Article number20
JournalAgronomy for Sustainable Development
Volume39
Issue number2
DOIs
Publication statusPublished - 1 Apr 2019

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genotype mixtures
seed mixtures
Crops
crop models
crops
genotype
infancy
sowing date
crop production
cropping systems
simulation models
niches
sowing

Keywords

  • Annual crop mixtures
  • Crop models
  • Functional–structural plant models
  • Genotypes mixtures
  • Individual-based models
  • Intercrops
  • Model users

Cite this

Gaudio, Noémie ; Escobar-Gutiérrez, Abraham J. ; Casadebaig, Pierre ; Evers, Jochem B. ; Gérard, Frédéric ; Louarn, Gaëtan ; Colbach, Nathalie ; Munz, Sebastian ; Launay, Marie ; Marrou, Hélène ; Barillot, Romain ; Hinsinger, Philippe ; Bergez, Jacques Eric ; Combes, Didier ; Durand, Jean Louis ; Frak, Ela ; Pagès, Loïc ; Pradal, Christophe ; Saint-Jean, Sébastien ; van der Werf, Wopke ; Justes, Eric. / Current knowledge and future research opportunities for modeling annual crop mixtures. A review. In: Agronomy for Sustainable Development. 2019 ; Vol. 39, No. 2.
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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 modeling 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.",
keywords = "Annual crop mixtures, Crop models, Functional–structural plant models, Genotypes mixtures, Individual-based models, Intercrops, Model users",
author = "No{\'e}mie Gaudio and Escobar-Guti{\'e}rrez, {Abraham J.} and Pierre Casadebaig and Evers, {Jochem B.} and Fr{\'e}d{\'e}ric G{\'e}rard and Ga{\"e}tan Louarn and Nathalie Colbach and Sebastian Munz and Marie Launay and H{\'e}l{\`e}ne Marrou and Romain Barillot and Philippe Hinsinger and Bergez, {Jacques Eric} and Didier Combes and Durand, {Jean Louis} and Ela Frak and Lo{\"i}c Pag{\`e}s and Christophe Pradal and S{\'e}bastien Saint-Jean and {van der Werf}, Wopke and Eric Justes",
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Gaudio, N, Escobar-Gutiérrez, AJ, Casadebaig, P, Evers, JB, Gérard, F, Louarn, G, Colbach, N, Munz, S, Launay, M, Marrou, H, Barillot, R, Hinsinger, P, Bergez, JE, Combes, D, Durand, JL, Frak, E, Pagès, L, Pradal, C, Saint-Jean, S, van der Werf, W & Justes, E 2019, 'Current knowledge and future research opportunities for modeling annual crop mixtures. A review', Agronomy for Sustainable Development, vol. 39, no. 2, 20. https://doi.org/10.1007/s13593-019-0562-6

Current knowledge and future research opportunities for modeling annual crop mixtures. A review. / Gaudio, Noémie; Escobar-Gutiérrez, Abraham J.; Casadebaig, Pierre; Evers, Jochem B.; Gérard, Frédéric; Louarn, Gaëtan; Colbach, Nathalie; Munz, Sebastian; Launay, Marie; Marrou, Hélène; Barillot, Romain; Hinsinger, Philippe; Bergez, Jacques Eric; Combes, Didier; Durand, Jean Louis; Frak, Ela; Pagès, Loïc; Pradal, Christophe; Saint-Jean, Sébastien; van der Werf, Wopke; Justes, Eric.

In: Agronomy for Sustainable Development, Vol. 39, No. 2, 20, 01.04.2019.

Research output: Contribution to journalReview articleAcademicpeer-review

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AU - Escobar-Gutiérrez, Abraham J.

AU - Casadebaig, Pierre

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AU - Gérard, Frédéric

AU - Louarn, Gaëtan

AU - Colbach, Nathalie

AU - Munz, Sebastian

AU - Launay, Marie

AU - Marrou, Hélène

AU - Barillot, Romain

AU - Hinsinger, Philippe

AU - Bergez, Jacques Eric

AU - Combes, Didier

AU - Durand, Jean Louis

AU - Frak, Ela

AU - Pagès, Loïc

AU - Pradal, Christophe

AU - Saint-Jean, Sébastien

AU - van der Werf, Wopke

AU - Justes, Eric

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N2 - 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 modeling 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.

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KW - Annual crop mixtures

KW - Crop models

KW - Functional–structural plant models

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KW - Individual-based models

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