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hal.structure.identifierDepartment of Plant Sciences
dc.contributor.authorCUNNIFFE, Nik J.
hal.structure.identifierSanté et agroécologie du vignoble [UMR SAVE]
dc.contributor.authorFABRE, Frédéric
dc.date.accessioned2024-04-08T12:30:36Z
dc.date.available2024-04-08T12:30:36Z
dc.date.issued2018
dc.date.conference2018-07-29
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/197023
dc.description.abstractEnPathogens routinely spread over very long distances, and landscape-scale spread is gaining ever-increasing amounts of attention from theoretical epidemiologists, as well as from agricultural managers and policy makers. At such large spatial scales, modeling is very important, particularly since experimentation is difficult or even impossible. We will illustrate how modeling approaches can be used to improve decision making concerning when, where, and how to detect and control plant diseases, drawing on a range of examples including durability of resistance genes to viruses of annual crops, quarantine approaches in orchards, and spatially explicit control and detection strategies for citrus diseases.
dc.language.isoen
dc.title.enModeling epidemics to optimize disease management at the landscape
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.hal.laboratoriesSanté et Agro-Ecologie du Vignoble (SAVE) - UMR 1065*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.conference.titleInternational Congress of Plant Pathology (ICPP 2018): Plant Health in A Global Economy
bordeaux.countryUS
bordeaux.conference.cityBoston
bordeaux.peerReviewedoui
hal.identifierhal-02736247
hal.version1
hal.invitedoui
hal.conference.end2018-08-03
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02736247v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2018&rft.au=CUNNIFFE,%20Nik%20J.&FABRE,%20Fr%C3%A9d%C3%A9ric&rft.genre=unknown


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