Modeling Foliar Infection Dynamics in Wheat Using a SEIR Framework: Effects of Seed Treatment and Foliar Fungicide Under Mediterranean Conditions

The foliar pathogens of wheat, particularly Zymoseptoria tritici and Pyrenophora tritici-repentis, represent a significant threat to yield. We used a SEIR (Susceptible–Exposed–Infected–Removed) model to quantify epidemic dynamics based on different fungicide application strategies, focusing on the daily dynamic growth rate r(t) (net infection increase) and the removal rate γ(t) (loss infectious tissue) after BBCH 37. In Scenario A (treatment of seed with Systiva®), the r(t) of Z. tritici was positive only during the early phase of the epidemic, followed by progressive suppression over time, while the r(t) for P. tritici-repentis remained negative throughout. Scenario B (seed treatment combined with foliar propiconazole) resulted in uniformly negative r(t) values for both pathogens, indicating stronger and sustained suppression. These findings highlight the practical utility of epidemic growth rate modeling for evaluating fungicide strategies and support integrated seed + foliar applications as a robust approach to disease management in wheat.

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Publication Details

Journal
Agrochemicals
Published
2026-02-04
DOI
https://doi.org/10.3390/agrochemicals5010010
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling Foliar Infection Dynamics in Wheat Using a SEIR Framework: Effects of Seed Treatment and Foliar Fungicide Under Mediterranean Conditions

Ioannis Vagelas
Agrochemicals
Wheat and Barley Genetics and Pathology
article

Modeling Foliar Infection Dynamics in Wheat Using a SEIR Framework: Effects of Seed Treatment and Foliar Fungicide Under Mediterranean Conditions

Ioannis Vagelas
article en

Abstract

The foliar pathogens of wheat, particularly Zymoseptoria tritici and Pyrenophora tritici-repentis, represent a significant threat to yield. We used a SEIR (Susceptible–Exposed–Infected–Removed) model to quantify epidemic dynamics based on different fungicide application strategies, focusing on the daily dynamic growth rate r(t) (net infection increase) and the removal rate γ(t) (loss infectious tissue) after BBCH 37. In Scenario A (treatment of seed with Systiva®), the r(t) of Z. tritici was positive only during the early phase of the epidemic, followed by progressive suppression over time, while the r(t) for P. tritici-repentis remained negative throughout. Scenario B (seed treatment combined with foliar propiconazole) resulted in uniformly negative r(t) values for both pathogens, indicating stronger and sustained suppression. These findings highlight the practical utility of epidemic growth rate modeling for evaluating fungicide strategies and support integrated seed + foliar applications as a robust approach to disease management in wheat.

AgrochemicalsVol. 5(1)
University of Thessaly (GR)
Good health and well-being
Openalex Percentile: Top 67%
Wheat and Barley Genetics and Pathology
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