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dc.contributor.authorLázaro, Elena
dc.contributor.authorArmero, Carmen
dc.contributor.authorRubio, Luis
dc.contributor.editorArgiento, R.
dc.identifier.citationLázaro, E., Armero, C. & Rubio, L. (2017). Bayesian Survival Analysis to Model Plant Resistance and Tolerance to Virus Diseases. In: Argiento R., Lanzarone E., Antoniano Villalobos I., Mattei A. (eds) Bayesian Statistics in Action. BAYSM 2016. Proceedings in Mathematics & Statistics, vol 194. 173-181.
dc.description.abstractViruses constitute a major threat to large-scale production of crops worldwide producing important economical losses and undermining sustainability. We evaluated a new plant variety for resistance and tolerance to a specific virus through a comparison with other well-known varieties. The study is based on two independent Bayesian accelerated failure time models which assess resistance and tolerance survival times. Information concerning plant genotype and virus biotype were considered as baseline covariates and error terms were assumed to follow a modified standard Gumbel distribution. Frequentist approach to these models was also considered in order to compare the results of the study from both statistical methodologies.
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.titleBayesian Survival Analysis to Model Plant Resistance and Tolerance to Virus Diseases
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km. 10’7, 46113 Moncada (Valencia), Españaes
dc.entidadIVIACentro de Protección Vegetal y Biotecnología
dc.journal.titleBayesian Statistics in Action, Baysm 2016

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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