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dc.contributor.authorCortiñas Rodríguez, José A.
dc.contributor.authorGonzález Fernández, Estefanía
dc.contributor.authorFernández González, María
dc.contributor.authorVázquez Ruiz de Ocenda, Rosa Ana
dc.contributor.authorAira Rodríguez, María Jesús
dc.date.accessioned2020-04-24T08:59:12Z
dc.date.available2020-04-24T08:59:12Z
dc.date.issued2020
dc.identifier.citationCortiñas Rodríguez, J.A.; González-Fernández, E.; Fernández-González, M.; Vázquez-Ruiz, R.A.; Aira, M.J. Fungal Diseases in Two North-West Spain Vineyards: Relationship with Meteorological Conditions and Predictive Aerobiological Model. Agronomy 2020, 10, 219
dc.identifier.urihttp://hdl.handle.net/10347/21704
dc.description.abstractGrey mould, powdery mildew, and downy mildew are the most frequent fungal diseases among vineyards worldwide. In the present study, we analysed the influence of the fungi causing these diseases (Botrytis, Erysiphe, and Plasmopara, respectively) on two viticulture areas from North-western (NW) Spain during three growth seasons (2016, 2017, and 2018). The obtained results showed the predominant concentration of the Botrytis airborne spores, mainly from the beginning of the Inflorescence emerge phenological stage (S-5) until the end of the Flowering phenological stage (S-6). Erysiphe and Plasmopara airborne spore peak concentrations were more localised around Flowering (S-6) and Development of fruits (S-7) phenological stages. We applied a Spearman’s correlation test and a Principal Component Analysis to determine the influence of the meteorological parameters on the concentration of airborne spores. Taking into account the variables with the highest correlation coefficient, we developed multiple regression models to forecast the phytopathogenic fungal spore concentrations. The Botrytis model regression equation explained between 59.4–70.9% of spore concentration variability. The Erysiphe equation explained between 57.6–61% and the Plasmopara explained between 39.9–55.8%. In general, we found better prediction results for mean daily concentrations than sporadic spore peaks
dc.description.sponsorshipThe authors thank to the Xunta de Galicia (Consellería de Educación, Universidade e Formación Profesional) the financial support for the recognition as Grupo de Referencia Competitivo de Investigación (GRC GI–1809 BIOAPLIC, ED431C 2019/07), the Agrupación Estratégica de Investigación BioReDes (ED431E 2018/09), the CITACA Strategic Partnership ED431E 2018/07 (Xunta de Galicia, Spain) and the grant number AGL2014-60412-Rofthe Economy and Competence Ministry of Spain Government. González–Fernández E. is supported by the FPU Formación de Profesorado Universitario grant from Ministerio de Ciencia, Innovación y Universidades
dc.language.isoeng
dc.publisherMDPI
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2014-60412-R/ES/ESTRATEGIA PARA LA OPTIMIZACION Y EL DESARROLLO SOSTENIBLE DE LA COSECHA DE VARIEDADES AUTOCTONAS DE VID DE LA D.O. RIBEIRO
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBotrytis
dc.subjectErysiphe
dc.subjectPlasmopara
dc.subjectVineyards
dc.subjectIncidence
dc.subjectMultiple linear regression
dc.titleFungal Diseases in Two North-West Spain Vineyards: Relationship with Meteorological Conditions and Predictive Aerobiological Model
dc.typeinfo:eu-repo/semantics/article
dc.identifier.DOI10.3390/agronomy10020219
dc.relation.publisherversionhttps://doi.org/10.3390/agronomy10020219
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.e-issn2073-4395
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Botánica
dc.description.peerreviewedSI


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
Except where otherwise noted, this item's license is described as  © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)





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