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Resumen
Ascochyta blight, caused by Ascochyta rabiei, is a major threat to global chickpea (Cicer arietinum L.) production, significantly reducing yield under favorable conditions. This study aimed to characterize the resistance responses of nine chickpea genotypes, previously classified as moderately resistant, by subjecting them to enhanced disease pressure. Phenotypic evaluation, including the area under the disease progress curve (AUDPC) and severity scoring [ver mas...]
dc.contributor.authorCrociara, Clara Sonia
dc.contributor.authorValetti, Lucio
dc.contributor.authorCastro, Patricia
dc.contributor.authorMillán, Teresa
dc.contributor.authorIglesias, Juliana
dc.contributor.authorPastor, Silvina Estela
dc.date.accessioned2025-07-15T10:19:59Z
dc.date.available2025-07-15T10:19:59Z
dc.date.issued2025-05-25
dc.identifier.issn0014-2336
dc.identifier.issn1573-5060 (online)
dc.identifier.otherhttps://doi.org/10.1007/s10681-025-03557-w
dc.identifier.urihttp://hdl.handle.net/20.500.12123/23020
dc.identifier.urihttps://link.springer.com/article/10.1007/s10681-025-03557-w
dc.description.abstractAscochyta blight, caused by Ascochyta rabiei, is a major threat to global chickpea (Cicer arietinum L.) production, significantly reducing yield under favorable conditions. This study aimed to characterize the resistance responses of nine chickpea genotypes, previously classified as moderately resistant, by subjecting them to enhanced disease pressure. Phenotypic evaluation, including the area under the disease progress curve (AUDPC) and severity scoring was carried out. To investigate the potential genetic basis of the observed resistance response, we analyzed molecular markers previously reported as linked to quantitative trait loci (QTLs) for A. rabiei resistance. The approach focused on testing whether these established markers could distinguish genotypes following the same patterns observed in their phenotypic responses under increased pathogen pressure. The results revealed significant variability among the MR genotypes, with three genotypes FLIP06-86C, FLIP07-35C, and FLIP03-100C outperforming the resistant control. The results from hierarchical clustering (UPGMA), principal component analysis (PCA), and principal coordinate analysis (PCoA) highlighted genetic substructures consistent with observed phenotypic behaviors. However, unexpected marker-phenotype associations were detected, questioning the utility of specific markers such as SCY17 and CaETR4 in marker-assisted selection. These findings underline the complexity of polygenic resistance to A. rabiei and emphasize the importance of integrating phenotypic screening with genetic analyses to improve the reliability of chickpea breeding programs. This work also contributes to identifying superior MR genotypes, providing valuable resources for the development of resistant cultivars.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.relationinfo:eu-repograntAgreement/INTA/2019-PE-E6-I132-001, Desarrollo de legumbres adaptadas a los territorios y diferenciados por calidad comercial, nutricional e industriales_AR
dc.relationinfo:eu-repo/semantics/reference/hdl/20.500.12123/21430
dc.relationinfo:eu-repo/semantics/reference/hdl/20.500.12123/21433
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceEuphytica 221 : 108 (June 2025)es_AR
dc.subjectAscochyta rabieies_AR
dc.subjectGarbanzoes_AR
dc.subjectChickpeaseng
dc.subjectTizón del garbanzoes_AR
dc.subjectChickpea blightes_AR
dc.subjectMejoramiento Genéticoes_AR
dc.subjectGenetic Improvementeng
dc.subject.otherMolecular Markerseng
dc.subject.otherPulse Breedingeng
dc.subject.otherRabia del Garbanzoes_AR
dc.titleUnlocking hidden sources of resistance to ascochyta blight in moderately resistant chickpea genotypeses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenInstituto de Patología Vegetales_AR
dc.description.filFil: Crociara, Clara Sonia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Crociara, Clara Sonia. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentinaes_AR
dc.description.filFil: Valetti, Lucio. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Valetti, Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentinaes_AR
dc.description.filFil: Castro, Patricia. Universidad de Córdoba (UCO); Españaes_AR
dc.description.filFil: Millán, Teresa. Universidad de Córdoba (UCO); Españaes_AR
dc.description.filFil: Iglesias, Juliana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Pergamino; Argentinaes_AR
dc.description.filFil: Iglesias, Juliana.Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA), Pergamino; Argentinaes_AR
dc.description.filFil: Pastor, Silvina Estela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentinaes_AR
dc.description.filFil: Pastor, Silvina Estela. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentinaes_AR
dc.subtypecientifico


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