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Development and validation of a weather-based model for predicting infection of loquat fruit by Fusicladium eriobotryae

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Development and validation of a weather-based model for predicting infection of loquat fruit by Fusicladium eriobotryae

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dc.contributor.author González Domínguez, Elisa es_ES
dc.contributor.author Armengol Fortí, Josep es_ES
dc.contributor.author Rossi, Vittorio es_ES
dc.date.accessioned 2016-01-13T11:35:15Z
dc.date.available 2016-01-13T11:35:15Z
dc.date.issued 2014-09
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10251/59804
dc.description.abstract A mechanistic, dynamic model was developed to predict infection of loquat fruit by conidia of Fusicladium eriobotryae, the causal agent of loquat scab. The model simulates scab infection periods and their severity through the sub-processes of spore dispersal, infection, and latency (i.e., the state variables); change from one state to the following one depends on environmental conditions and on processes described by mathematical equations. Equations were developed using published data on F. eriobotryae mycelium growth, conidial germination, infection, and conidial dispersion pattern. The model was then validated by comparing model output with three independent data sets. The model accurately predicts the occurrence and severity of infection periods as well as the progress of loquat scab incidence on fruit (with concordance correlation coefficients .0.95). Model output agreed with expert assessment of the disease severity in seven loquatgrowing seasons. Use of the model for scheduling fungicide applications in loquat orchards may help optimise scab management and reduce fungicide applications. es_ES
dc.description.sponsorship This work was funded by Cooperativa Agricola de Callosa d'En Sarria (Alicante, Spain). Three months' stay of E. Gonzalez-Dominguez at the Universita Cattolica del Sacro Cuore (Piacenza, Italy) was supported by the Programa de Apoyo a la Investigacion y Desarrollo (PAID-00-12) de la Universidad Politecnica de Valencia. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. en_EN
dc.language Inglés es_ES
dc.publisher Public Library of Science es_ES
dc.relation.ispartof PLoS ONE es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Conidia of Fusicladium eriobotryae es_ES
dc.subject Loquat fruit es_ES
dc.subject.classification PRODUCCION VEGETAL es_ES
dc.title Development and validation of a weather-based model for predicting infection of loquat fruit by Fusicladium eriobotryae es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1371/journal.pone.0107547
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-00-12/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ecosistemas Agroforestales - Departament d'Ecosistemes Agroforestals es_ES
dc.description.bibliographicCitation González Domínguez, E.; Armengol Fortí, J.; Rossi, V. (2014). Development and validation of a weather-based model for predicting infection of loquat fruit by Fusicladium eriobotryae. PLoS ONE. 9(9):1-12. https://doi.org/10.1371/journal.pone.0107547 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1371/journal.pone.0107547 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.description.issue 9 es_ES
dc.relation.senia 279659 es_ES
dc.identifier.pmid 25233340 en_EN
dc.identifier.pmcid PMC4169414 en_EN
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Cooperativa Agrícola de Callosa d'en Sarrià es_ES
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