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Resumen
The genetic control of maize kernel weight (KW) determination could be studied through its physiological and/ or compositional determinants. Our objective was to dissect the genetic control of maize KW by analyzing its physiological (KGR: kernel growth rate; KFD: kernel filling duration) and compositional (protein, oil, starch) determinants in a dent×flint Caribbean RIL population, which combines a broad genetic background with grains of high added value [ver mas...]
dc.contributor.authorMandolino, Cecilia Ines
dc.contributor.authorD´Andrea, Karina Elizabeth
dc.contributor.authorPiedra, Carlina V.
dc.contributor.authorAlvarez Prado, Santiago
dc.contributor.authorOlmos, Sofía Eugenia
dc.contributor.authorCirilo, Alfredo Gabriel
dc.contributor.authorOtegui, María Elena
dc.date.accessioned2023-11-29T13:59:32Z
dc.date.available2023-11-29T13:59:32Z
dc.date.issued2016-12
dc.identifier.issn2279-8013
dc.identifier.urihttp://hdl.handle.net/20.500.12123/16062
dc.identifier.urihttps://journals-crea.4science.it/index.php/maydica/article/view/1557
dc.description.abstractThe genetic control of maize kernel weight (KW) determination could be studied through its physiological and/ or compositional determinants. Our objective was to dissect the genetic control of maize KW by analyzing its physiological (KGR: kernel growth rate; KFD: kernel filling duration) and compositional (protein, oil, starch) determinants in a dent×flint Caribbean RIL population, which combines a broad genetic background with grains of high added value for industry. An additional objective was to determine the stability of the genetic control under contrasting growing conditions, for which soil nitrogen offer was modified across experiments. Heritability (H2) values were high for KW (H2 = 0.74) and intermediate for the other traits (from 0.62 to 0.42). Kernel weight had a strong correlation with KFD (r = 0.69), KGR (r = 0.60) and protein concentration (r = 0.56). Ten joint QTL with inconsistent effects across years and seven epistatic interactions were detected. Despite changes in effect size, most QTL were significant under both environments. Nine QTL were associated with variations in potential KW (KWP), mean KW, KGR and oil concentration, eight with variations in protein and starch concentration and seven with KFD. Epistatic interactions were related to regions with significant main effects. The most important finding was the existence of a common QTL for KWP, KGR and KFD on chromosome 5, for which there was no previous report. Results increased our knowledge on the genetic control of KW through its phenotypic and genetic correlation with KFD, confirming the need to explore different physiological strategies in different genetic backgrounds.eng
dc.formatapplication/pdf
dc.language.isoenges_AR
dc.publisherMaydica-ist Sper Cerealicoltures_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceMaydica 61 (4) : 1-13. (Diciembre 2016)es_AR
dc.subjectMaízes_AR
dc.subjectMaizeeng
dc.subjectGranoses_AR
dc.subjectGraineng
dc.subjectTasa de Crecimientoes_AR
dc.subjectGrowth Rateeng
dc.subjectLoci de Rasgos Cuantitativoses_AR
dc.subjectQuantitative Trait Locieng
dc.subject.otherKernel Filling Durationeng
dc.subject.otherProtein Concentrationeng
dc.titleKernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL populationes_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.origenEEA Pergaminoes_AR
dc.description.filFil: Mandolino, Cecilia Ines. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Biotecnología; Argentinaes_AR
dc.description.filFil: Mandolino, Cecilia Ines. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: D'Andrea, Karina Elizabeth. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
dc.description.filFil: D´Andrea, Karina Elizabeth. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
dc.description.filFil: Piedra, Carlina V. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
dc.description.filFil: Piedra, Carlina V. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
dc.description.filFil: Alvarez Prado, Santiago. Institut National de la Recherche Agronomique (INRA), Unité Mixte de Recherche 759 Laboratoire d’Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE); Francia
dc.description.filFil: Olmos, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento Agronomía; Argentina.
dc.description.filFil: Cirilo, Alfredo Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina
dc.description.filFil: Otegui, María Elena. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
dc.description.filFil: Otegui, María Elena. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
dc.subtypecientifico


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