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

Autores
Mandolino, Cecilia Ines; D´Andrea, Karina Elizabeth; Piedra, Carlina V.; Alvarez Prado, Santiago; Olmos, Sofía Eugenia; Cirilo, Alfredo Gabriel; Otegui, María Elena
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
EEA Pergamino
Fil: Mandolino, Cecilia Ines. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Biotecnología; Argentina
Fil: Mandolino, Cecilia Ines. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
Fil: D'Andrea, Karina Elizabeth. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
Fil: D´Andrea, Karina Elizabeth. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Piedra, Carlina V. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
Fil: Piedra, Carlina V. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
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
Fil: Olmos, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento Agronomía; Argentina.
Fil: Cirilo, Alfredo Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina
Fil: Otegui, María Elena. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
Fil: Otegui, María Elena. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fuente
Maydica 61 (4) : 1-13. (Diciembre 2016)
Materia
Maíz
Granos
Tasa de Crecimiento
Loci de Rasgos Cuantitativos
Maize
Grain
Growth Rate
Quantitative Trait Loci
Kernel Filling Duration
Protein Concentration
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/16062
Acceder
id INTADig_68eba406c8925b2c024e28269c804a11
oai_identifier_str oai:localhost:20.500.12123/16062
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL populationMandolino, Cecilia InesD´Andrea, Karina ElizabethPiedra, Carlina V.Alvarez Prado, SantiagoOlmos, Sofía EugeniaCirilo, Alfredo GabrielOtegui, María ElenaMaízGranosTasa de CrecimientoLoci de Rasgos CuantitativosMaizeGrainGrowth RateQuantitative Trait LociKernel Filling DurationProtein ConcentrationThe 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.EEA PergaminoFil: Mandolino, Cecilia Ines. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Biotecnología; ArgentinaFil: Mandolino, Cecilia Ines. Consejo Nacional de Investigaciones, Científicas y Técnicas; ArgentinaFil: D'Andrea, Karina Elizabeth. Consejo Nacional de Investigaciones, Científicas y Técnicas; ArgentinaFil: D´Andrea, Karina Elizabeth. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaFil: Piedra, Carlina V. Consejo Nacional de Investigaciones, Científicas y Técnicas; ArgentinaFil: Piedra, Carlina V. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaFil: Alvarez Prado, Santiago. Institut National de la Recherche Agronomique (INRA), Unité Mixte de Recherche 759 Laboratoire d’Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE); FranciaFil: Olmos, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento Agronomía; Argentina.Fil: Cirilo, Alfredo Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; ArgentinaFil: Otegui, María Elena. Consejo Nacional de Investigaciones, Científicas y Técnicas; ArgentinaFil: Otegui, María Elena. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; ArgentinaMaydica-ist Sper Cerealicoltur2023-11-29T13:59:32Z2023-11-29T13:59:32Z2016-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/16062https://journals-crea.4science.it/index.php/maydica/article/view/15572279-8013Maydica 61 (4) : 1-13. (Diciembre 2016)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:18:34Zoai:localhost:20.500.12123/16062instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:18:35.263INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population
title Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population
spellingShingle Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population
Mandolino, Cecilia Ines
Maíz
Granos
Tasa de Crecimiento
Loci de Rasgos Cuantitativos
Maize
Grain
Growth Rate
Quantitative Trait Loci
Kernel Filling Duration
Protein Concentration
title_short Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population
title_full Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population
title_fullStr Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population
title_full_unstemmed Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population
title_sort Kernel weight in maize: genetic control of its physiological and compositional determinants in a dent × flint-caribbean RIL population
dc.creator.none.fl_str_mv Mandolino, Cecilia Ines
D´Andrea, Karina Elizabeth
Piedra, Carlina V.
Alvarez Prado, Santiago
Olmos, Sofía Eugenia
Cirilo, Alfredo Gabriel
Otegui, María Elena
author Mandolino, Cecilia Ines
author_facet Mandolino, Cecilia Ines
D´Andrea, Karina Elizabeth
Piedra, Carlina V.
Alvarez Prado, Santiago
Olmos, Sofía Eugenia
Cirilo, Alfredo Gabriel
Otegui, María Elena
author_role author
author2 D´Andrea, Karina Elizabeth
Piedra, Carlina V.
Alvarez Prado, Santiago
Olmos, Sofía Eugenia
Cirilo, Alfredo Gabriel
Otegui, María Elena
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Maíz
Granos
Tasa de Crecimiento
Loci de Rasgos Cuantitativos
Maize
Grain
Growth Rate
Quantitative Trait Loci
Kernel Filling Duration
Protein Concentration
topic Maíz
Granos
Tasa de Crecimiento
Loci de Rasgos Cuantitativos
Maize
Grain
Growth Rate
Quantitative Trait Loci
Kernel Filling Duration
Protein Concentration
dc.description.none.fl_txt_mv 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.
EEA Pergamino
Fil: Mandolino, Cecilia Ines. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Laboratorio de Biotecnología; Argentina
Fil: Mandolino, Cecilia Ines. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
Fil: D'Andrea, Karina Elizabeth. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
Fil: D´Andrea, Karina Elizabeth. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
Fil: Piedra, Carlina V. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
Fil: Piedra, Carlina V. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
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
Fil: Olmos, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento Agronomía; Argentina.
Fil: Cirilo, Alfredo Gabriel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina
Fil: Otegui, María Elena. Consejo Nacional de Investigaciones, Científicas y Técnicas; Argentina
Fil: Otegui, María Elena. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal; Argentina
description 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.
publishDate 2016
dc.date.none.fl_str_mv 2016-12
2023-11-29T13:59:32Z
2023-11-29T13:59:32Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/16062
https://journals-crea.4science.it/index.php/maydica/article/view/1557
2279-8013
url http://hdl.handle.net/20.500.12123/16062
https://journals-crea.4science.it/index.php/maydica/article/view/1557
identifier_str_mv 2279-8013
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Maydica-ist Sper Cerealicoltur
publisher.none.fl_str_mv Maydica-ist Sper Cerealicoltur
dc.source.none.fl_str_mv Maydica 61 (4) : 1-13. (Diciembre 2016)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.982451

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