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resumen

Resumen
Maize white spot (MWS) is one of the most important foliar diseases in Brazil causing significant yield losses. Breeding genotypes with MWS resistance is the most sustainable alternative for managing such losses; however, their genetic control is poorly understood. Our objectives were to identify genomic regions controlling MWS resistance and to explore the presence of common regions controlling resistance to MWS, grey leaf spot (GLS) and northern corn [ver mas...]
dc.contributor.authorKistner, María Belén
dc.contributor.authorGaliano-Carneiro, Ana Luísa
dc.contributor.authorKessel, Bettina
dc.contributor.authorPresterl, Thomas
dc.contributor.authorMiedaner, Thomas
dc.date.accessioned2021-11-30T12:32:57Z
dc.date.available2021-11-30T12:32:57Z
dc.date.issued2021-10
dc.identifier.issn1439-0523 (online)
dc.identifier.issn1079-9541
dc.identifier.otherhttps://doi.org/10.1111/pbr.12964
dc.identifier.urihttp://hdl.handle.net/20.500.12123/10801
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/10.1111/pbr.12964
dc.description.abstractMaize white spot (MWS) is one of the most important foliar diseases in Brazil causing significant yield losses. Breeding genotypes with MWS resistance is the most sustainable alternative for managing such losses; however, their genetic control is poorly understood. Our objectives were to identify genomic regions controlling MWS resistance and to explore the presence of common regions controlling resistance to MWS, grey leaf spot (GLS) and northern corn leaf blight (NCLB). We performed a multi-parental QTL mapping for MWS and GLS resistance with a total of 474 testcrosses and phenotypic data collected in southern Brazil. Six QTLs for MWS resistance on bins 1.03, 1.04, 6.02, 8.05, 1.03, and 10.06 were detected. These findings were compared with previously reported QTLs for NCLB in the same populations, and a common QTL region (bin 8.05) controlling MWS and NCLB resistances was identified. Our findings contribute to a better understanding of MWS resistance by revealing three QTLs (bin 6.02, 1.03, and 10.06), to the best of our knowledge, not yet described in the literature, that are valuable for improving MWS resistance and one promising candidate region for multiple disease resistance.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcePlant Breed 140 (5) : 801–811. (October 2021)es_AR
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectEnfermedades de las Plantases_AR
dc.subjectPlant Diseaseseng
dc.subjectEnfermedades Foliareses_AR
dc.subjectFoliar Diseaseseng
dc.subjectResistencia Genéticaes_AR
dc.subjectGenetic Resistanceeng
dc.subjectResistencia a la Enfermedades_AR
dc.subjectDisease Resistanceeng
dc.subjectManchases_AR
dc.subjectSpotseng
dc.subjectPlagas de Plantases_AR
dc.subjectPlant Pestseng
dc.subject.otherPantoea ananatises_AR
dc.titleMulti-parental QTL mapping of resistance to white spot of maize (Zea mays) in southern Brazil and relationship to QTLs of other foliar diseaseses_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)
dc.description.origenEEA Pergaminoes_AR
dc.description.filFil: Kistner, María Belén. University of Hohenheim. State Plant Breeding Institute; Alemaniaes_AR
dc.description.filFil: Kistner, María Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Maíz; Argentinaes_AR
dc.description.filFil: Kistner, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Galiano-Carneiro, Ana Luísa. University of Hohenheim. State Plant Breeding Institute; Alemaniaes_AR
dc.description.filFil: Galiano-Carneiro, Ana Luísa. Kleinwanzlebener Saatzucht (KWS) SAAT SE & Co. KGaA; Alemaniaes_AR
dc.description.filFil: Kessel, Bettina. Kleinwanzlebener Saatzucht (KWS) SAAT SE & Co. KGaA; Alemaniaes_AR
dc.description.filFil: Presterl, Thomas. Kleinwanzlebener Saatzucht (KWS) SAAT SE & Co. KGaA; Alemaniaes_AR
dc.description.filFil: Miedaner, Thomas. University of Hohenheim. State Plant Breeding Institute; Alemaniaes_AR
dc.subtypecientifico


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