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

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. 3) Crop models are mainly used to address issues related to crop mixtures management and to the integration of crop mixtures into larger scales such as the rotation, whereas 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.

Saved in:
Bibliographic Details
Main Authors: Gaudio, Noemie, Escobar-Gutièrrez, Abraham, Casadebaig, Pierre, Evers, Jochem, 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, Elzbieta, Pagès, Loïc, Pradal, Christophe, Saint-Jean, Sébastien, Van Der Werf, Wopke, Justes, Eric
Format: article biblioteca
Language:eng
Published: Springer
Subjects:F08 - Systèmes et modes de culture, U30 - Méthodes de recherche, plante de couverture, culture sous couvert végétal, plante annuelle, mélange de semences, modèle mathématique, modélisation, culture intercalaire, http://aims.fao.org/aos/agrovoc/c_1936, http://aims.fao.org/aos/agrovoc/c_25706, http://aims.fao.org/aos/agrovoc/c_28997, http://aims.fao.org/aos/agrovoc/c_6935, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_230ab86c, http://aims.fao.org/aos/agrovoc/c_3910,
Online Access:http://agritrop.cirad.fr/591187/
http://agritrop.cirad.fr/591187/1/gaudio19.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cirad-fr-591187
record_format koha
spelling dig-cirad-fr-5911872024-12-18T13:14:05Z http://agritrop.cirad.fr/591187/ http://agritrop.cirad.fr/591187/ Current knowledge and future research opportunities for modeling annual crop mixtures. A review. Gaudio Noemie, Escobar-Gutièrrez Abraham, Casadebaig Pierre, Evers Jochem, 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 Elzbieta, Pagès Loïc, Pradal Christophe, Saint-Jean Sébastien, Van Der Werf Wopke, Justes Eric. 2019. Agronomy for Sustainable Development, 39 (2):20, 20 p.https://doi.org/10.1007/s13593-019-0562-6 <https://doi.org/10.1007/s13593-019-0562-6> Current knowledge and future research opportunities for modeling annual crop mixtures. A review Gaudio, Noemie Escobar-Gutièrrez, Abraham Casadebaig, Pierre Evers, Jochem 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, Elzbieta Pagès, Loïc Pradal, Christophe Saint-Jean, Sébastien Van Der Werf, Wopke Justes, Eric eng 2019 Springer Agronomy for Sustainable Development F08 - Systèmes et modes de culture U30 - Méthodes de recherche plante de couverture culture sous couvert végétal plante annuelle mélange de semences modèle mathématique modélisation culture intercalaire http://aims.fao.org/aos/agrovoc/c_1936 http://aims.fao.org/aos/agrovoc/c_25706 http://aims.fao.org/aos/agrovoc/c_28997 http://aims.fao.org/aos/agrovoc/c_6935 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_230ab86c http://aims.fao.org/aos/agrovoc/c_3910 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. 3) Crop models are mainly used to address issues related to crop mixtures management and to the integration of crop mixtures into larger scales such as the rotation, whereas 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/acceptedVersion http://agritrop.cirad.fr/591187/1/gaudio19.pdf text Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/s13593-019-0562-6 10.1007/s13593-019-0562-6 info:eu-repo/semantics/altIdentifier/doi/10.1007/s13593-019-0562-6 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/s13593-019-0562-6 info:eu-repo/grantAgreement/EC/H2020/727217//(EU) Redesigning European cropping systems based on species MIXtures/ReMIX
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F08 - Systèmes et modes de culture
U30 - Méthodes de recherche
plante de couverture
culture sous couvert végétal
plante annuelle
mélange de semences
modèle mathématique
modélisation
culture intercalaire
http://aims.fao.org/aos/agrovoc/c_1936
http://aims.fao.org/aos/agrovoc/c_25706
http://aims.fao.org/aos/agrovoc/c_28997
http://aims.fao.org/aos/agrovoc/c_6935
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_230ab86c
http://aims.fao.org/aos/agrovoc/c_3910
F08 - Systèmes et modes de culture
U30 - Méthodes de recherche
plante de couverture
culture sous couvert végétal
plante annuelle
mélange de semences
modèle mathématique
modélisation
culture intercalaire
http://aims.fao.org/aos/agrovoc/c_1936
http://aims.fao.org/aos/agrovoc/c_25706
http://aims.fao.org/aos/agrovoc/c_28997
http://aims.fao.org/aos/agrovoc/c_6935
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_230ab86c
http://aims.fao.org/aos/agrovoc/c_3910
spellingShingle F08 - Systèmes et modes de culture
U30 - Méthodes de recherche
plante de couverture
culture sous couvert végétal
plante annuelle
mélange de semences
modèle mathématique
modélisation
culture intercalaire
http://aims.fao.org/aos/agrovoc/c_1936
http://aims.fao.org/aos/agrovoc/c_25706
http://aims.fao.org/aos/agrovoc/c_28997
http://aims.fao.org/aos/agrovoc/c_6935
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_230ab86c
http://aims.fao.org/aos/agrovoc/c_3910
F08 - Systèmes et modes de culture
U30 - Méthodes de recherche
plante de couverture
culture sous couvert végétal
plante annuelle
mélange de semences
modèle mathématique
modélisation
culture intercalaire
http://aims.fao.org/aos/agrovoc/c_1936
http://aims.fao.org/aos/agrovoc/c_25706
http://aims.fao.org/aos/agrovoc/c_28997
http://aims.fao.org/aos/agrovoc/c_6935
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_230ab86c
http://aims.fao.org/aos/agrovoc/c_3910
Gaudio, Noemie
Escobar-Gutièrrez, Abraham
Casadebaig, Pierre
Evers, Jochem
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, Elzbieta
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
description 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. 3) Crop models are mainly used to address issues related to crop mixtures management and to the integration of crop mixtures into larger scales such as the rotation, whereas 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.
format article
topic_facet F08 - Systèmes et modes de culture
U30 - Méthodes de recherche
plante de couverture
culture sous couvert végétal
plante annuelle
mélange de semences
modèle mathématique
modélisation
culture intercalaire
http://aims.fao.org/aos/agrovoc/c_1936
http://aims.fao.org/aos/agrovoc/c_25706
http://aims.fao.org/aos/agrovoc/c_28997
http://aims.fao.org/aos/agrovoc/c_6935
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_230ab86c
http://aims.fao.org/aos/agrovoc/c_3910
author Gaudio, Noemie
Escobar-Gutièrrez, Abraham
Casadebaig, Pierre
Evers, Jochem
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, Elzbieta
Pagès, Loïc
Pradal, Christophe
Saint-Jean, Sébastien
Van Der Werf, Wopke
Justes, Eric
author_facet Gaudio, Noemie
Escobar-Gutièrrez, Abraham
Casadebaig, Pierre
Evers, Jochem
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, Elzbieta
Pagès, Loïc
Pradal, Christophe
Saint-Jean, Sébastien
Van Der Werf, Wopke
Justes, Eric
author_sort Gaudio, Noemie
title Current knowledge and future research opportunities for modeling annual crop mixtures. A review
title_short Current knowledge and future research opportunities for modeling annual crop mixtures. A review
title_full Current knowledge and future research opportunities for modeling annual crop mixtures. A review
title_fullStr Current knowledge and future research opportunities for modeling annual crop mixtures. A review
title_full_unstemmed Current knowledge and future research opportunities for modeling annual crop mixtures. A review
title_sort current knowledge and future research opportunities for modeling annual crop mixtures. a review
publisher Springer
url http://agritrop.cirad.fr/591187/
http://agritrop.cirad.fr/591187/1/gaudio19.pdf
work_keys_str_mv AT gaudionoemie currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT escobargutierrezabraham currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT casadebaigpierre currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT eversjochem currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT gerardfrederic currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT louarngaetan currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT colbachnathalie currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT munzsebastian currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT launaymarie currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT marrouhelene currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT barillotromain currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT hinsingerphilippe currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT bergezjacqueseric currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT combesdidier currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT durandjeanlouis currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT frakelzbieta currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT pagesloic currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT pradalchristophe currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT saintjeansebastien currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT vanderwerfwopke currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
AT justeseric currentknowledgeandfutureresearchopportunitiesformodelingannualcropmixturesareview
_version_ 1819043862837985280