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dc.contributor.authorLazaro, Elena
dc.contributor.authorArmero, Carmen
dc.contributor.authorRubio, Luis
dc.date.accessioned2018-05-09T16:30:59Z
dc.date.available2018-05-09T16:30:59Z
dc.date.issued2017
dc.identifier.citationLazaro, E., Armero, C., Rubio, L. (2017a). Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems. SORT-Statistics and Operations Research Transactions, 1(1), 93-116.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/20.500.11939/6057
dc.description.abstractVirus diseases constitute one of the most important limiting factors in horticultural production. Cultivation of horticultural species under organic management has increased in importance in recent years. However, the sustainability of this new production method needs to be supported by scientific research, especially in the field of virology. We studied the prevalence of three im- portant virus diseases in agroecosystems with regard to its management system: organic versus non-organic, with and without greenhouse. Prevalence was assessed by means of a Bayesian correlated binary model which connects the risk of infection of each virus within the same plot and was defined in terms of a logit generalized linear mixed model (GLMM). Model robustness was checked through a sensitivity analysis based on different hyperprior scenarios. Inferential results were examined in terms of changes in the marginal posterior distributions, both for fixed and for random effects, through the Hellinger distance and a derived measure of sensitivity. Statistical re- sults suggested that organic systems show lower or similar prevalence than non-organic ones in both single and multiple infections as well as the relevance of the prior specification of the random effects in the inferential process.
dc.language.isoen
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleBayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems
dc.typearticle
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias, Carretera CV-315, Km. 10,7 - 46113 Moncada (València)
dc.entidadIVIACentro de Protección Vegetal y Biotecnología
dc.identifier.doi10.2436/20.8080.02.52
dc.identifier.urlhttps://www.idescat.cat/serveis/biblioteca/docs/bib/publicacions/r00262017v411.pdf
dc.journal.abbreviatedTitle
dc.journal.issueNumber1
dc.journal.titleSORT-Statistics and Operations Research Transactions
dc.journal.volumeNumber1
dc.page.final116
dc.page.initial93
dc.source.typeelectronico
dc.type.hasVersionpublishedVersion


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