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Field and Landscape Risk Factors Impacting Flavescence Dorée Infection: Insights from Spatial Bayesian Modeling in the Bordeaux Vineyards

hal.structure.identifierSanté et agroécologie du vignoble [UMR SAVE]
dc.contributor.authorADRAKEY, Hola Kwame
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMALEMBIC-MAHER, Sylvie
hal.structure.identifierSanté et agroécologie du vignoble [UMR SAVE]
dc.contributor.authorRUSCH, Adrien
hal.structure.identifierCentre d'économie et de sociologie rurales appliquées à l'agriculture et aux espaces ruraux [CESAER]
dc.contributor.authorAY, Jean-Sauveur
hal.structure.identifierBiostatistique et Processus Spatiaux [BioSP]
dc.contributor.authorRILEY, Luke
hal.structure.identifierSanté et agroécologie du vignoble [UMR SAVE]
dc.contributor.authorRAMALANJAONA, Lovasoa
hal.structure.identifierSanté et agroécologie du vignoble [UMR SAVE]
dc.contributor.authorFABRE, Frederic
dc.date.issued2022
dc.identifier.issn0031-949X
dc.description.abstractEnFlavescence dorée (FD) is a quarantine disease threatening European vineyards. Its management is based on mandatory insecticide treatments and the uprooting of infected plants identified during annual surveys. Field surveys are currently not optimized because the drivers affecting FD spread in vineyard landscapes remain poorly understood. We collated a georeferenced dataset of FD detection, collected from 34,581 vineyard plots over 5 years in the South West France wine region. Spatial models fitted with integrated nested Laplace approximation were used to identify local and landscape factors affecting FD detection and infection. Our analysis highlights the importance of sampling period on FD detection and of local practices and landscape context on FD infection. At field scale, altitude and cultivar choice were the main factors affecting FD infection. In particular, the odds ratio of FD infection in fields planted with the susceptible Cabernet Sauvignon, Cabernet Franc, or Muscadelle varieties were approximately twice those in fields planted with the less susceptible Merlot. Field infection was also affected by the field’s immediate surroundings (within a circle with a radius of 150 to 200 m), corresponding to landscapes of 7 to 12 ha. In particular, the probability of FD infection increased with the proportions of forest and urban land and with the proportion of susceptible cultivars, demonstrating that the cultivar composition impacts FD epidemiology at landscape scale. The satisfactory predictive performance of the model for identifying districts with a prevalence of FD detection >10% of the fields suggests that it could be used to target areas in which future surveys would be most valuable.
dc.language.isoen
dc.publisherAmerican Phytopathological Society
dc.subject.enVitis Vinifera
dc.subject.enFlavescence Dorée
dc.title.enField and Landscape Risk Factors Impacting Flavescence Dorée Infection: Insights from Spatial Bayesian Modeling in the Bordeaux Vineyards
dc.typeArticle de revue
dc.identifier.doi10.1094/PHYTO-10-21-0449-R
dc.subject.halSciences de l'environnement
bordeaux.journalPhytopathology
bordeaux.peerReviewedoui
hal.identifierhal-03727199
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03727199v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Phytopathology&rft.date=2022&rft.eissn=0031-949X&rft.issn=0031-949X&rft.au=ADRAKEY,%20Hola%20Kwame&MALEMBIC-MAHER,%20Sylvie&RUSCH,%20Adrien&AY,%20Jean-Sauveur&RILEY,%20Luke&rft.genre=article


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