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

INLA distribution modeling landscape epidemiology landscape mosaic varietal landscape vineyard disease

Journal

Phytopathology
ISSN: 0031-949X
Titre abrégé: Phytopathology
Pays: United States
ID NLM: 9427222

Informations de publication

Date de publication:
Aug 2022
Historique:
pubmed: 2 3 2022
medline: 2 8 2022
entrez: 1 3 2022
Statut: ppublish

Résumé

Flavescence 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.

Identifiants

pubmed: 35230150
doi: 10.1094/PHYTO-10-21-0449-R
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1686-1697

Auteurs

Hola Kwame Adrakey (HK)

INRAE, Bordeaux Sciences Agro, Unité Mixte de Recherche SAVE, Villenave d'Ornon F-33882, France.

Sylvie Malembic-Maher (S)

INRAE, Université de Bordeaux, Unité Mixte de Recherche BFP, Villenave d'Ornon F-33882, France.

Adrien Rusch (A)

INRAE, Bordeaux Sciences Agro, Unité Mixte de Recherche SAVE, Villenave d'Ornon F-33882, France.

Jean-Sauveur Ay (JS)

INRAE, Institut Agro, Université Bourgogne Franche-Comté, Unité Mixte de Recherche CESAER, F-21000, Dijon, France.

Luke Riley (L)

INRAE, Unité de Recherche BioSP, Equipe OPE, Plateforme d'Epidémiosurveillance en Santé Végétale, Avignon, France.

Lovasoa Ramalanjaona (L)

INRAE, Bordeaux Sciences Agro, Unité Mixte de Recherche SAVE, Villenave d'Ornon F-33882, France.

Frederic Fabre (F)

INRAE, Bordeaux Sciences Agro, Unité Mixte de Recherche SAVE, Villenave d'Ornon F-33882, France.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans Arthroplasty, Replacement, Hip Male Female Obesity, Morbid
Humans Male Female Health Knowledge, Attitudes, Practice Middle Aged
Humans Hepatectomy Male Female Retrospective Studies

Classifications MeSH