On synergistic co-infection in crop diseases. The case of the Maize Lethal Necrosis Disease
Autor: | Michael Chapwanya, Americo Matusse, Yves Dumont |
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Přispěvatelé: | University of Pretoria [South Africa], Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Necrosis
Analyse qualitative 02 engineering and technology Disease 01 natural sciences Roguing Analyse globale Maladie des plantes 0203 mechanical engineering Numerical simulations [MATH]Mathematics [math] 010301 acoustics 2. Zero hunger Synergisme U10 - Informatique mathématiques et statistiques Applied Mathematics food and beverages Co-infection 020303 mechanical engineering & transports Modeling and Simulation medicine.symptom Invasion reproduction number Infection Sensitivity analysis Control methods Modèle mathématique [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS] Biology Zea mays Vector-borne plant disease Synergistic interaction Crop [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems Plant virus 0103 physical sciences medicine Transmission des maladies H20 - Maladies des plantes business.industry Modélisation des cultures Biotechnology [SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy Nécrose Epidemic model business Co infection |
Zdroj: | Applied Mathematical Modelling Applied Mathematical Modelling, Elsevier, 2021, 90, pp.912-942. ⟨10.1016/j.apm.2020.09.036⟩ Applied Mathematical Modelling, 2021, 90, pp.912-942. ⟨10.1016/j.apm.2020.09.036⟩ |
ISSN: | 0307-904X |
DOI: | 10.1016/j.apm.2020.09.036⟩ |
Popis: | International audience; Crops are often subject to intense attacks by pests and diseases. Among them, Maize Lethal Necrosis (MLN) is a serious disease that impact maize crops in many Southern countries. It results from the synergistic interaction of two plant viruses, transmitted by two vectors. In this paper, we develop a general deterministic epidemic model of crop-vector-borne disease for synergistic co-infection, with a particular focus on MLN disease. A theoretical analysis shows that different thresholds exists that drive the dynamics of the system: the well known basic reproduction numbers and also invasion reproduction numbers. The latter are essential for the emergence or not of the MLN disease. After a global sensitivity analysis, we illustrate our results through numerical simulations and discuss potential control methods such as vector control and roguing. |
Databáze: | OpenAIRE |
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