DYNAMO-A: A generic simulation model coupling crop growth and disease epidemic

Very few dynamic simulation models truly involve explicit, quantitative, two-way couplings of epidemiological and agrophysiological processes. Our aim is to develop a generic, transparent and simple, coupled disease-crop model, DYNAMO-A, where a polycyclic epidemic develops within the canopy of an annual crop. DYNAMO-A builds upon existing models, RICEPEST and WHEATPEST, respectively designed as crop loss simulation platforms for rice and wheat, and the generic model GENEPEST, which was designed for further crop-specific development and educational purposes. Two intertwined components constitute DYNAMO-A: (1) an agrophysiological component simulates crop growth, which alters the carrying capacity of epidemics; and (2) an epidemiological component simulates epidemics, which affect crop growth through damage mechanisms. Analyses using DYNAMO-A consider different simulation scenarios according to the pathogen lifestyle (trophism) and production situations. First, scenarios consider a biotrophic ideotype which is a light stealer and assimilate diverter, and a necrotrophic ideotype which is a light stealer and an accelerator of leaf senescence. Second, scenarios consider two production situations (favourable or less favourable), i.e., two contexts leading to differing attainable (un-injured) crop yields (good or average). Epidemics caused by a biotrophic pathogen reduce the green leaf area and diverts plant assimilates to the pathogen tissues, resulting in a decrease in yield. In epidemics caused by a necrotrophic pathogen, both diseased and green leaf areas are reduced because of disease-induced senescence, resulting also in yield loss. Overall, at a given level of disease epidemic, absolute yield losses are higher with a biotrophic pathogen in a more favourable production situation, whereas yield losses to a necrotrophic pathogen tend to be similar irrespective of production situations. Our results concur with previous studies, both field-experiment and model-based, on several crop-disease systems. Future modelling with DYNAMO-based models should enable interdisciplinary research addressing plant disease impacts on current and future agricultural production.

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Journal
PLoS ONE
Published
2025-04-24
DOI
https://doi.org/10.1371/journal.pone.0321261
Citations
2
Primary Topic
Plant Virus Research Studies
Type
article
Field-Weighted Citation Impact
3.50
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article

DYNAMO-A: A generic simulation model coupling crop growth and disease epidemic

Roberto Ferrise, Stéphane Savary, Simone Bregaglio, Ki‐Hyun Kim et al.
2 citations
PLoS ONE
Plant Virus Research Studies
3.50
article

DYNAMO-A: A generic simulation model coupling crop growth and disease epidemic

Roberto Ferrise, Stéphane Savary, Simone Bregaglio, Ki‐Hyun Kim, Laetitia Willocquet
article en
2 citations

Abstract

Very few dynamic simulation models truly involve explicit, quantitative, two-way couplings of epidemiological and agrophysiological processes. Our aim is to develop a generic, transparent and simple, coupled disease-crop model, DYNAMO-A, where a polycyclic epidemic develops within the canopy of an annual crop. DYNAMO-A builds upon existing models, RICEPEST and WHEATPEST, respectively designed as crop loss simulation platforms for rice and wheat, and the generic model GENEPEST, which was designed for further crop-specific development and educational purposes. Two intertwined components constitute DYNAMO-A: (1) an agrophysiological component simulates crop growth, which alters the carrying capacity of epidemics; and (2) an epidemiological component simulates epidemics, which affect crop growth through damage mechanisms. Analyses using DYNAMO-A consider different simulation scenarios according to the pathogen lifestyle (trophism) and production situations. First, scenarios consider a biotrophic ideotype which is a light stealer and assimilate diverter, and a necrotrophic ideotype which is a light stealer and an accelerator of leaf senescence. Second, scenarios consider two production situations (favourable or less favourable), i.e., two contexts leading to differing attainable (un-injured) crop yields (good or average). Epidemics caused by a biotrophic pathogen reduce the green leaf area and diverts plant assimilates to the pathogen tissues, resulting in a decrease in yield. In epidemics caused by a necrotrophic pathogen, both diseased and green leaf areas are reduced because of disease-induced senescence, resulting also in yield loss. Overall, at a given level of disease epidemic, absolute yield losses are higher with a biotrophic pathogen in a more favourable production situation, whereas yield losses to a necrotrophic pathogen tend to be similar irrespective of production situations. Our results concur with previous studies, both field-experiment and model-based, on several crop-disease systems. Future modelling with DYNAMO-based models should enable interdisciplinary research addressing plant disease impacts on current and future agricultural production.

PLoS ONEVol. 20(4)
Seoul National University (KR), Govind Ballabh Pant University of Agriculture and Technology (IN), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Cereal Research Centre (IT), Département Santé des Plantes et Environnement (FR), Research Centre for Cereal and Industrial Crops (IT), University of Florence (IT), Indian Agricultural Research Institute (IN), University of California, Davis (US)
Good health and well-being
Openalex Percentile: Top 9%
Plant Virus Research Studies
3.50
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