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Ascochyta blight is the major disease affecting chickpea (Cicer arietinum) around the world. Since the first report of Ascochyta rabiei's isolation in Argentina in 2012, the pathogen has caused severe economic losses in crop production; so, the detection and rapid identification of the pathogen in early stages is key for the management of the disease. In this work, a traditional PCR procedure for detection of A. rabiei directly from plant tissues has been [ver mas...]
dc.contributor.authorValetti, Lucio
dc.contributor.authorCazon, Luis Ignacio
dc.contributor.authorCrociara, Clara Sonia
dc.contributor.authorPastor, Silvina Estela
dc.date.accessioned2021-01-22T17:44:39Z
dc.date.available2021-01-22T17:44:39Z
dc.date.issued2020-11-16
dc.identifier.issn0261-2194
dc.identifier.otherhttps://doi.org/10.1016/j.cropro.2020.105463
dc.identifier.urihttp://hdl.handle.net/20.500.12123/8639
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0261219420303963
dc.description.abstractAscochyta blight is the major disease affecting chickpea (Cicer arietinum) around the world. Since the first report of Ascochyta rabiei's isolation in Argentina in 2012, the pathogen has caused severe economic losses in crop production; so, the detection and rapid identification of the pathogen in early stages is key for the management of the disease. In this work, a traditional PCR procedure for detection of A. rabiei directly from plant tissues has been described based on beta-tubulin gene. The TP-6/TP-9 specific primers designed, amplified only a single PCR band of 770 bp from A. rabiei. The specificity of the primers was checked using 12 isolates of A. rabiei and DNA from 10 other different fungi including common pathogens of chickpea as Alternaria alternata, Botrytis cinerea, Sclerotinia sclerotiorum and Phoma medicaginis that cause similar symptoms. The detection sensitivity with primers was 2 × 104 ng μl−1 genomic DNA. In inoculated plant material, PCR amplification gave a band of the expected size and no amplification was observed when DNA was from healthy and uninoculated plants. The results suggested that the assay detected the pathogen more rapidly and accurately than standard isolation methods. The PCR-based method developed here can simplify both plant disease diagnosis, and pathogen monitoring in an early phase, as well as aid in effective management practices that avoid the disease advance and minimize losses.es_AR
dc.formatapplication/pdfeng
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceCrop Protection : 105463. (16 November 2020)es_AR
dc.subjectAscochyta Rabieies_AR
dc.subjectDiagnostic Techniqueseng
dc.subjectAscochyta Blight on Peaseng
dc.subjectChickpeaseng
dc.subjectGarbanzoes_AR
dc.subjectTécnicas de Diagnosis
dc.subjectPCR
dc.subject.otherMolecular Diagnosticeng
dc.subject.otherAscochyta Blightes_AR
dc.subject.otherChickpeaes_AR
dc.titleEarly detection of Ascochyta blight (Ascochyta rabiei) of chickpea by traditional PCRes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenInstituto de Patología Vegetales_AR
dc.description.filFil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.es_AR
dc.description.filFil: Cazón, Luis Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.es_AR
dc.description.filFil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentinaes_AR
dc.description.filFil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias (CIAP). Instituto de Patología Vegetal (IPAVE). Córdoba; Argentina.es_AR
dc.description.filFil: Valetti, Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
dc.description.filFil: Cazón, Luis Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
dc.description.filFil: Pastor, Silvina Estela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Unidad de Fitopatología y Modelización Agrícola (UFYMA).Córdoba; Argentina.
dc.subtypecientifico


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