Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Agritroparrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Agronomy for Sustainable Development
Article . 2023 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
versions View all 4 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model

Authors: Rémi Vezy; Sebastian Munz; Noémie Gaudio; Marie Launay; Patrice Lecharpentier; Dominique Ripoche; Eric Justes;

Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model

Abstract

The growing demand for sustainable agriculture is raising interest in intercropping for its multiple potential benefits to avoid or limit the use of chemical inputs or increase the production per surface unit. Predicting the existence and magnitude of those benefits remains a challenge given the numerous interactions between interspecific plant-plant relationships, their environment and the agricultural practices. Soil-crop models are critical in understanding these interactions in dynamics during the whole growing season, but few models are capable of accurately simulating intercropping systems. In this study, we propose a set of simple and generic formalisms for simulating key interactions in intercropping systems that can be readily included into existing dynamic crop models. This requires simulating important processes such as development, light interception, plant growth, N and water balance, and yield formation in response to management practices, soil conditions, and climate. These formalisms were integrated into the STICS soil-crop model and evaluated using observed data of intercropping systems of cereal and legumes mixtures, including Faba bean-Wheat, Pea-Barley, Sunflower-Soybean, and Wheat-Pea mixtures. We demonstrate that the proposed formalisms provide a comprehensive simulation of soil-plant interactions in various types of bispecific intercrops. The model was found consistent and generic under a range of spring and winter intercrops (nRMSE = 25% for maximum leaf area index, 23% for shoot biomass at harvest, and 18% for yield). This is the first time a complete set of formalisms has been developed and published for simulating intercropping systems and integrated into a soil-crop model. With its emphasis on being generic, sufficiently accurate, simple, and easy to parameterize, STICS is well-suited to help researchers designing in silico the agroecological transition by virtually pre-screening sustainable, manageable intercrop systems adapted to local conditions.

International audience

Country
France
Keywords

http://aims.fao.org/aos/agrovoc/c_24242, sunflower, diversification, Environmental Engineering, agriculture durable, http://aims.fao.org/aos/agrovoc/c_32648, [SDV]Life Sciences [q-bio], F60 - Physiologie et biochimie végétale, F08 - Systèmes et modes de culture, rendement des cultures, pea, agroécologie, modèle de simulation, faba bean, modélisation des cultures, http://aims.fao.org/aos/agrovoc/c_9000024, modèle mathématique, http://aims.fao.org/aos/agrovoc/c_10176, wheat, spatial design, soybean, système de culture, species mixture, plante de culture, http://aims.fao.org/aos/agrovoc/c_24199, U10 - Informatique, mathématiques et statistiques, barley, http://aims.fao.org/aos/agrovoc/c_92381, http://aims.fao.org/aos/agrovoc/c_33561, http://aims.fao.org/aos/agrovoc/c_3910, culture intercalaire, http://aims.fao.org/aos/agrovoc/c_1971, http://aims.fao.org/aos/agrovoc/c_1972, http://aims.fao.org/aos/agrovoc/c_2344, Agronomy and Crop Science, compétition interspécifique

Beaudoin N, Lecharpentier P, Ripoche D, et al (2022) Conceptual framework, equations and uses of the STICS soil-crop model. Quae, Versailles Beillouin D, Ben-Ari T, Malézieux E, et al (2021) Positive but variable effects of crop diversification on biodiversity and ecosystem services. Global Change Biology. https://doi.org/10.1111/gcb.15747 25 Vezy R, Buis S, Lecharpentier P, Giner M (2023) CroPlotR: A Package to Analyze Crop Model Simulations Outputs with Plots and Statistics Vezy R, le Maire G, Christina M, et al (2020) DynACof: A process-based model to study growth, yield and ecosystem services of coffee agroforestry systems. Environmental Modelling & Software 124:104609. https://doi.org/10.1016/j.envsoft.2019.104609

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Funded by
Related to Research communities
Sustainable Development Solutions Network - Greece