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.
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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 |
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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 |
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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 |
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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 |
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_version_ |
1819043862837985280 |