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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
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dc.contributor.author | Mandolino, Cecilia Ines | |
dc.contributor.author | D´Andrea, Karina Elizabeth | |
dc.contributor.author | Piedra, Carlina V. | |
dc.contributor.author | Alvarez Prado, Santiago | |
dc.contributor.author | Olmos, Sofía Eugenia | |
dc.contributor.author | Cirilo, Alfredo Gabriel | |
dc.contributor.author | Otegui, María Elena | |
dc.date.accessioned | 2023-11-29T13:59:32Z | |
dc.date.available | 2023-11-29T13:59:32Z | |
dc.date.issued | 2016-12 | |
dc.identifier.issn | 2279-8013 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/16062 | |
dc.identifier.uri | https://journals-crea.4science.it/index.php/maydica/article/view/1557 | |
dc.description.abstract | 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 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.format | application/pdf | |
dc.language.iso | eng | es_AR |
dc.publisher | Maydica-ist Sper Cerealicoltur | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | es_AR |
dc.source | Maydica 61 (4) : 1-13. (Diciembre 2016) | es_AR |
dc.subject | Maíz | es_AR |
dc.subject | Maize | eng |
dc.subject | Granos | es_AR |
dc.subject | Grain | eng |
dc.subject | Tasa de Crecimiento | es_AR |
dc.subject | Growth Rate | eng |
dc.subject | Loci de Rasgos Cuantitativos | es_AR |
dc.subject | Quantitative Trait Loci | eng |
dc.subject.other | Kernel Filling Duration | eng |
dc.subject.other | Protein Concentration | eng |
dc.title | Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | es_AR |
dc.description.origen | EEA Pergamino | es_AR |
dc.description.fil | Fil: Mandolino, Cecilia Ines. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Biotecnología; Argentina | es_AR |
dc.description.fil | Fil: Mandolino, Cecilia Ines. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: D'Andrea, Karina Elizabeth. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina | |
dc.description.fil | Fil: D´Andrea, Karina Elizabeth. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina | |
dc.description.fil | Fil: Piedra, Carlina V. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina | |
dc.description.fil | Fil: Piedra, Carlina V. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina | |
dc.description.fil | Fil: 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.fil | Fil: Olmos, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento Agronomía; Argentina. | |
dc.description.fil | Fil: Cirilo, Alfredo Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina | |
dc.description.fil | Fil: Otegui, María Elena. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina | |
dc.description.fil | Fil: Otegui, María Elena. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina | |
dc.subtype | cientifico |
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