IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v200y2025ip2s0960077925009543.html

Toward quantitative modeling of the indirect interaction between Trichoderma spp. and foliar parasitic fungi

Author

Listed:
  • Van Der Werff Vargas, Saskia J.
  • Capistrán, Marcos A.

Abstract

This paper introduces a Trichoderma-Mediated Parasite Inhibition (TMPI) model. We present a mechanism-based model for the interaction between a plant (e.g., grapevine), a root-associated Trichoderma fungus (e.g., Trichoderma asperelloides), and a foliar parasitic fungus (e.g., powdery mildew). The model focuses on cases where Trichoderma and the parasite do not interact directly. Instead, it captures (i) the plant’s response to infection, (ii) the systemic resistance triggered by Trichoderma, and (iii) the shift of Trichoderma between mutualism and parasitism. Stability, identifiability, and sensitivity analyses show that the model is suitable for fitting field data and for informing biocontrol strategies that promote sustainable agriculture and clarify Trichoderma dynamics. The stability analysis provides explicit, interpretable conditions for parasite eradication or persistence. The parasite is removed if both fungi fail to invade or if Trichoderma invades and prevents parasite establishment. Persistence requires the parasite reproduction number to exceed a threshold and, in coexistence scenarios, remain below a specific upper bound. If this bound is exceeded, the system exhibits oscillations involving the parasite. These dynamics reflect a shifting balance between host defense and parasite pressure, consistent with the Red Queen hypothesis. Parasite exclusion is possible when Trichoderma dominates and systemic resistance is strong relative to resource limitations.

Suggested Citation

  • Van Der Werff Vargas, Saskia J. & Capistrán, Marcos A., 2025. "Toward quantitative modeling of the indirect interaction between Trichoderma spp. and foliar parasitic fungi," Chaos, Solitons & Fractals, Elsevier, vol. 200(P2).
  • Handle: RePEc:eee:chsofr:v:200:y:2025:i:p2:s0960077925009543
    DOI: 10.1016/j.chaos.2025.116941
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925009543
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2025.116941?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Marcos A Capistran & Antonio Capella & J Andrés Christen, 2021. "Forecasting hospital demand in metropolitan areas during the current COVID-19 pandemic and estimates of lockdown-induced 2nd waves," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Costase Ndayishimiye & Christoph Sowada & Patrycja Dyjach & Agnieszka Stasiak & John Middleton & Henrique Lopes & Katarzyna Dubas-Jakóbczyk, 2022. "Associations between the COVID-19 Pandemic and Hospital Infrastructure Adaptation and Planning—A Scoping Review," IJERPH, MDPI, vol. 19(13), pages 1-22, July.
    2. Dalton Garcia Borges de Souza & Erivelton Antonio dos Santos & Francisco Tarcísio Alves Júnior & Mariá Cristina Vasconcelos Nascimento, 2021. "On Comparing Cross-Validated Forecasting Models with a Novel Fuzzy-TOPSIS Metric: A COVID-19 Case Study," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
    3. Gutierrez, Emilio & Rubli, Adrian & Tavares, Tiago, 2022. "Information and behavioral responses during a pandemic: Evidence from delays in Covid-19 death reports," Journal of Development Economics, Elsevier, vol. 154(C).

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:200:y:2025:i:p2:s0960077925009543. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.