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Kernel weight in maize : genetic control of its physiological and compositional determinants in a dent × flint - caribbean RIL population

Colaborador(es): Mandolino, Cecilia I. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino (EEA Pergamino). Buenos Aires, Argentina. CONICET. Buenos Aires, Argentina | D'Andrea, Karina Elizabeth. CONICET. Buenos Aires, Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Buenos Aires, Argentina | Piedra, Carlina Victoria. CONICET. Buenos Aires, Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Buenos Aires, Argentina | Alvarez Prado, Santiago. Institut National de la Recherche Agronomique (INRA). Laboratoire d’Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE). Montpellier, France | Olmos, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino (EEA Pergamino). Buenos Aires, Argentina. CONICET. Buenos Aires, Argentina | Cirilo, Alfredo Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino (EEA Pergamino). Buenos Aires, Argentina. CONICET. Buenos Aires, Argentina | Otegui, María Elena. CONICET. Buenos Aires, Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Buenos Aires, Argentina.
ISSN: 0025-6153.Tipo de material: Artículos y capítulos. Recurso electrónico.Tema(s): MAIZE KERNEL WEIGHT | KERNEL GROWTH RATE | KERNEL FILLING DURATION | PROTEIN CONCENTRATION | QUANTITATIVE TRAIT LOCI | Recursos en línea: Haga clic para acceso en línea | LINK AL EDITOR En: Maydica Vol.61 (2016), 13 p., grafs., tbls.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 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.
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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 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.

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