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Switching from a mechanistic model to a continuous model to study at different scales the effect of vine growth on the dynamic of a powdery mildew epidemic

hal.structure.identifierTools of automatic control for scientific computing, Models and Methods in Biomathematics [ANUBIS]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBURIE, Jean Baptiste
hal.structure.identifierTools of automatic control for scientific computing, Models and Methods in Biomathematics [ANUBIS]
dc.contributor.authorLANGLAIS, Michel
hal.structure.identifierSanté Végétale [SV]
dc.contributor.authorCALONNEC, Agnès
dc.date.accessioned2024-04-04T02:28:00Z
dc.date.available2024-04-04T02:28:00Z
dc.date.issued2010
dc.identifier.issn0305-7364
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190062
dc.description.abstractEn*Background and Aims : Epidemiological simulation models coupling plant growth with the dispersal and disease dynamics of an airborne plant pathogen were devised for a better understanding of host–pathogen dynamic interactions and of the capacity of grapevine development to modify the progress of powdery mildew epidemics. *Methods : The first model is a complex discrete mechanistic model (M-model) that explicitly incorporates the dynamics of host growth and the development and dispersion of the pathogen at the vine stock scale. The second model is a simpler ordinary differential equations (ODEs) compartmental SEIRT model (C-model) handling host growth (foliar surface) and the ontogenic resistance of the leaves. With the M-model various levels of vine development are simulated under three contrasting climatic scenarios and the relationship between host and disease variables are examined at key periods in the epidemic process. The ability of the C-model to retrieve the main dynamics of the disease for a range of vine growth given by the M-model is investigated. *Key Results : The M-model strengthens experimental results observed regarding the effect of the rate of leaf emergence and of the number of leaves at flowering on the severity of the disease. However, it also underlines strong variations of the dynamics of disease depending on the vigour and indirectly on the climatic scenarios. The C-model could be calibrated by using the M-model provided that different parameters before and after shoot topping and for various vigour levels and inoculation time are used. Biologically relevant estimations of the parameters that could be used for its extension to the vineyard scale are obtained. *Conclusions : The M-model is able to generate a wide range of growth scenarios with a strong impact on disease evolution. The C-model is a promising tool to be used at a larger scale.
dc.description.sponsorshipModéliser les interactions entre développement et architecture de la plante et épidémies de maladies fongiques aériennes, pour une gestion durable des cultures. - ANR-08-STRA-0004
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.subjectCROISSANCE DE LA VIGNE
dc.subject.enHOST–PATHOGEN MODELS
dc.subject.enMECHANISTIC MODEL
dc.subject.enSEIRT MODEL
dc.subject.enHOST GROWTH
dc.subject.enPOWDERY MILDEW
dc.subject.enGRAPEVINE
dc.title.enSwitching from a mechanistic model to a continuous model to study at different scales the effect of vine growth on the dynamic of a powdery mildew epidemic
dc.typeArticle de revue
dc.identifier.doi10.1093/aob/mcq233
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale/Phytopathologie et phytopharmacie
bordeaux.journalAnnals of Botany
bordeaux.page885-895
bordeaux.volume107
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue5
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierinria-00545187
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00545187v1
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