dc.creatorPozzi, Elizabeth Alicia
dc.creatorBruno, Cecilia Inés
dc.creatorLuciani, Cecilia
dc.creatorCelli, Marcos Giovani
dc.creatorConci, Vilma Cecilia
dc.creatorPerotto, Maria Cecilia
dc.date.accessioned2020-04-13T12:58:29Z
dc.date.accessioned2023-03-15T14:03:58Z
dc.date.available2020-04-13T12:58:29Z
dc.date.available2023-03-15T14:03:58Z
dc.date.created2020-04-13T12:58:29Z
dc.date.issued2020-02
dc.identifier0815-3191
dc.identifier1448-6032
dc.identifierhttps://doi.org/10.1007/s13313-020-00687-8
dc.identifierhttp://hdl.handle.net/20.500.12123/7066
dc.identifierhttps://link.springer.com/article/10.1007/s13313-020-00687-8
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6210161
dc.description.abstractEnvironmental heterogeneity can shape the plant-virus relationship, furthering the appearance of new diseases in crops, or altering disease incidence and severity. In this work, we studied the virus association with environmental heterogeneity taking into account bio-meteorological variables and virus distribution. In Argentina, three potyviruses, Watermelon mosaic virus (WMV), Zucchini yellow mosaic virus (ZYMV), and Papaya ringspot virus (PRSV), and a cucumovirus, Cucumber mosaic virus (CMV), are the most common viruses infecting cucurbits. We identified the bio-meteorological variables that had the greatest impact on disease incidence. All the crops were infected with more than one virus in all the studied environments. Molecular and serological analyses showed the highest relative incidence for WMV (46%), the lowest for CMV (9%), and intermediate values for PRSV and ZYMV (20% and 24%, respectively). Infected plants had a random distribution. Viruses and bio-meteorological variables were highly correlated, with high support (Pearson’s r = 0.96, P < 0.001). Temperature variables were negatively correlated with the three potyviruses. CMV was positively correlated with temperature. Relative humidity was positively correlated with potyviruses, but was not correlated with CMV. Our research field data and analyses may help to predict the outbreak of viral diseases in cucurbits crops.
dc.languageeng
dc.publisherSpringer
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceAustralasian Plant Pathology 49 : 167–174 (2020)
dc.subjectEnfermedades de las Plantas
dc.subjectVirus de las Plantas
dc.subjectCucurbitaceae
dc.subjectCondiciones Atmosféricas
dc.subjectMedio Ambiente
dc.subjectPotyvirus
dc.subjectCucumovirus
dc.subjectVirus Mosaico Amarillo Calabacín
dc.subjectVirus de la Mancha de Anillo de la Papaya
dc.subjectVirus del Mosaico del Pepino
dc.subjectPlant Diseases
dc.subjectPlant Viruses
dc.subjectMeteorological Factors
dc.subjectEnvironment
dc.subjectCucumoviruses
dc.subjectWatermelon Mosaic Virus
dc.subjectZucchini Yellow Mosaic Virus
dc.subjectPapaya Ringspot Virus
dc.subjectCucumber Mosaic Virus
dc.titleRelative incidence of cucurbit viruses and relationship with bio-meteorological variables
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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