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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/16062
Ver los metadatos del registro completo
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 |
_version_ |
1846787576973754368 |
score |
12.982451 |