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hal.structure.identifierSanté Végétale [SV]
dc.contributor.authorCALONNEC, Agnes
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierUnité Mixte de Recherche en Santé Végétale (INRA/ENITA) [UMRSV]
dc.contributor.authorBURIE, J.B.
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorLANGLAIS, M
hal.structure.identifierAgrosystèmes tropicaux [ASTRO]
dc.contributor.authorGUYADER, Sébastien
hal.structure.identifierEnvironnement et Grandes Cultures [EGC]
dc.contributor.authorSAINT-JEAN, Sébastien
hal.structure.identifierBIOlogie et GEstion des Risques en agriculture [BIOGER]
dc.contributor.authorSACHE, Ivan
hal.structure.identifierInstitut de Génétique, Environnement et Protection des Plantes [IGEPP]
dc.contributor.authorTIVOLI, Bernard
dc.date.accessioned2024-04-04T02:53:46Z
dc.date.available2024-04-04T02:53:46Z
dc.date.issued2012
dc.date.conference2012-07-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192210
dc.description.abstractEnEpidemics are dynamical processes with variable rates of disease progress. How much of these changes in disease rate are triggered by the host population is still a pending issue. An epidemic is driven by its effective reproduction number: the product between the proportion of susceptible tissue, the rate of disease transmission, and the duration of the infectious period. Then, any modification in the host population, either quantitative or qualitative (distribution of plants or of susceptible organs) may have an impact on the epidemic dynamics. The growth of the host population is modified by architectural features or by cultural or agronomical practices. The production of new organs continuously modifies the porosity of the plant or of the canopy and its level of susceptibility if organ susceptibility changes with age (ontogenic resistance). Indirectly, plant growth modifies the micro-climatic environment inside the canopy, generating favourable or unfavourable conditions for pathogens. The organ susceptibility, or their susceptibility period, may also be modified by cultural practices disrupting the crop-pathogen synchronisation. These variations within host populations do impact disease incidence, severity or spread. However, they have rarely been explicitly taken into account in epidemiological models. Tracking back from the global dynamics of an epidemic the pathogen processes that are impacted and ranking the host traits involved in their modifications represents a challenge. In this paper, we will 1) review evidence of epidemic variations attributed to plant growth and architecture in main pathosystems, 2) list the pathogen processes impacted, and give some clue to identify and assess them in different epidemic contexts and 3) explore models able to measure and predict the effect of plant growth and architecture on epidemics.
dc.language.isoen
dc.subject.enCanopy structure
dc.subject.enDisease transmission
dc.subject.enArchitectural traits
dc.subject.enMicro-climate
dc.subject.enHost-pathogen models
dc.title.enImpacts of plant growth and architecture on pathogen processes and consequences for the epidemic behaviour
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]/Sciences agricoles
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titlePlant and canopy architecture impact on disease epidemiology and pest development international conference
bordeaux.countryFR
bordeaux.conference.cityRennes
bordeaux.peerReviewedoui
hal.identifierhal-01001542
hal.version1
hal.invitedoui
hal.proceedingsoui
hal.conference.end2012-07-05
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01001542v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2012&rft.au=CALONNEC,%20Agnes&BURIE,%20J.B.&LANGLAIS,%20M&GUYADER,%20S%C3%A9bastien&SAINT-JEAN,%20S%C3%A9bastien&rft.genre=unknown


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