Show simple item record

dc.contributor.authorCendoya, Martina
dc.contributor.authorMartínez-Minaya, Joaquín
dc.contributor.authorDalmau, Vicente
dc.contributor.authorFerrer, Amparo
dc.contributor.authorSaponari, Maria
dc.contributor.authorConesa, David
dc.contributor.authorLópez-Quílez, Antonio
dc.contributor.authorVicent, Antonio
dc.date.accessioned2020-08-19T12:35:55Z
dc.date.available2020-08-19T12:35:55Z
dc.date.issued2020es
dc.identifier.citationCendoya, M., Martínez-Minaya, J., Dalmau, V., Ferrer, A., Saponari, M., Conesa, D., López-Quílez, A. and Vicent, A. (2020) Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy). Front. Plant Sci. 11:1204.es
dc.identifier.issn1664-462X
dc.identifier.urihttp://hdl.handle.net/20.500.11939/6576
dc.description.abstractThe plant-pathogenic bacterium Xylella fastidiosa was first reported in Europe in 2013, in the province of Lecce, Italy, where extensive areas were affected by the olive quick decline syndrome, caused by the subsp. pauca. In Alicante, Spain, almond leaf scorch, caused by X. fastidiosa subsp. multiplex, was detected in 2017. The effects of climatic and spatial factors on the geographic distribution of X. fastidiosa in these two infested regions in Europe were studied. The presence/absence data of X. fastidiosa in the official surveys were analyzed using Bayesian hierarchical models through the integrated nested Laplace approximation (INLA) methodology. Climatic covariates were obtained from the WorldClim v.2 database. A categorical variable was also included according to Purcell’s minimum winter temperature thresholds for the risk of occurrence of Pierce’s disease of grapevine, caused by X. fastidiosa subsp. fastidiosa. In Alicante, data were presented aggregated on a 1 km grid (lattice data), where the spatial effect was included in the model through a conditional autoregressive structure. In Lecce, data were observed at continuous locations occurring within a defined spatial domain (geostatistical data). Therefore, the spatial effect was included via the stochastic partial differential equation approach. In Alicante, the pathogen was detected in all four of Purcell’s categories, illustrating the environmental plasticity of the subsp. multiplex. Here, none of the climatic covariates were retained in the selected model. Only two of Purcell’s categories were represented in Lecce. The mean diurnal range (bio2) and the mean temperature of the wettest quarter (bio8) were retained in the selected model, with a negative relationship with the presence of the pathogen. However, this may be due to the heterogeneous sampling distribution having a confounding effect with the climatic covariates. In both regions, the spatial structure had a strong influence on the models, but not the climatic covariates. Therefore, pathogen distribution was largely defined by the spatial relationship between geographic locations. This substantial contribution of the spatial effect in the models might indicate that the current extent of X. fastidiosa in the study regions had arisen from a single focus or from several foci, which have been coalesced.es
dc.language.isoenes
dc.publisherFrontierses
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjecthierarchical Bayesian modelses
dc.subjectintegrated nested Laplace approximationes
dc.subjectstochastic partial differential equationes
dc.subjectXylella fastidiosaes
dc.subjectspecies distribution modelses
dc.subjectolive quick declinees
dc.subjectalmond leaf scorches
dc.titleSpatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy)es
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km. 10’7, 46113 Moncada (Valencia), Españaes
dc.entidadIVIACentro de Protección Vegetal y Biotecnologíaes
dc.identifier.doihttps://doi.org/10.3389/fpls.2020.01204es
dc.identifier.urlhttps://www.frontiersin.org/articles/10.3389/fpls.2020.01204/fulles
dc.journal.issueNumber1es
dc.journal.titleFrontiers in Plant Sciencees
dc.journal.volumeNumber11es
dc.page.final1024es
dc.page.initial1204es
dc.relation.projectIDE-RTA 2017-00004-C06-01es
dc.relation.projectIDXF-ACTORS no. 727987es
dc.relation.projectIDOrganización Interprofesional del Aceite de Oliva Españoles
dc.rights.accessRightsopenAccesses
dc.source.typeelectronicoes
dc.subject.agrisH20 Plant diseaseses
dc.type.hasVersionpublishedVersiones


Files in this item

This item appears in the following Collection(s)

Show simple item record

Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España