Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower

Autores
Leon, A. J.; Andrade, Fernando Héctor; Lee, M.
Año de publicación
2000
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The number of days from seedling emergence to flowering (DTF) is a major consideration in sunflower (Helianthus annuus L.) breeding because the maximum yield of the crop can only be achieved if the cultivars are phenologically adapted to the production environment. Identification of genetic factors that affect flowering could create opportunities for improved breeding methods and for more fundamental investigations of this important trait and its interactions with the environment. The objectives of this study were to locate quantitative trait loci (QTL) for DTF in an elite sunflower population evaluated in four environments. Two hundred thirty-five F2-generation plants and their F3 progeny of a single-cross population of two divergent inbred lines were evaluated in four environments (Fargo, ND and Venado Tuerto, Daireaux, and Balcarce in Argentina). Detection of QTL was facilitated with a genetic linkage map of 205 loci defined by restriction fragment length polymorphism (RFLP) and composite interval mapping. Five QTL of five linkage groups accounted for 89% of the genetic variation for DTF. Gene action was additive at four QTL and dominant at the other locus. Three QTL were detected in all environments and generations. The parental effects and the relative magnitudes of the genetic effects of those QTL were consistent across generations and environments.
Fil: Leon, A. J.. Zeneca Semillas; Argentina
Fil: Andrade, Fernando Héctor. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Lee, M.. Iowa State University; Estados Unidos
Materia
Qtl
Rlfp
Flowering
Sunflower
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/75891
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in SunflowerLeon, A. J.Andrade, Fernando HéctorLee, M.QtlRlfpFloweringSunflowerhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4The number of days from seedling emergence to flowering (DTF) is a major consideration in sunflower (<em>Helianthus annuus</em> L.) breeding because the maximum yield of the crop can only be achieved if the cultivars are phenologically adapted to the production environment. Identification of genetic factors that affect flowering could create opportunities for improved breeding methods and for more fundamental investigations of this important trait and its interactions with the environment. The objectives of this study were to locate quantitative trait loci (QTL) for DTF in an elite sunflower population evaluated in four environments. Two hundred thirty-five F<sub>2</sub>-generation plants and their F<sub>3</sub> progeny of a single-cross population of two divergent inbred lines were evaluated in four environments (Fargo, ND and Venado Tuerto, Daireaux, and Balcarce in Argentina). Detection of QTL was facilitated with a genetic linkage map of 205 loci defined by restriction fragment length polymorphism (RFLP) and composite interval mapping. Five QTL of five linkage groups accounted for 89% of the genetic variation for DTF. Gene action was additive at four QTL and dominant at the other locus. Three QTL were detected in all environments and generations. The parental effects and the relative magnitudes of the genetic effects of those QTL were consistent across generations and environments.Fil: Leon, A. J.. Zeneca Semillas; ArgentinaFil: Andrade, Fernando Héctor. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Lee, M.. Iowa State University; Estados UnidosAmerican Society of Agronomy2000-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/75891Leon, A. J.; Andrade, Fernando Héctor; Lee, M.; Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower; American Society of Agronomy; Crop Science; 40; 2; 3-2000; 404-4070011-183X1435-0653CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.crops.org/publications/cs/abstracts/40/2/404info:eu-repo/semantics/altIdentifier/doi/10.2135/cropsci2000.402404xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:05:53Zoai:ri.conicet.gov.ar:11336/75891instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:05:54.039CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower
title Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower
spellingShingle Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower
Leon, A. J.
Qtl
Rlfp
Flowering
Sunflower
title_short Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower
title_full Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower
title_fullStr Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower
title_full_unstemmed Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower
title_sort Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower
dc.creator.none.fl_str_mv Leon, A. J.
Andrade, Fernando Héctor
Lee, M.
author Leon, A. J.
author_facet Leon, A. J.
Andrade, Fernando Héctor
Lee, M.
author_role author
author2 Andrade, Fernando Héctor
Lee, M.
author2_role author
author
dc.subject.none.fl_str_mv Qtl
Rlfp
Flowering
Sunflower
topic Qtl
Rlfp
Flowering
Sunflower
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The number of days from seedling emergence to flowering (DTF) is a major consideration in sunflower (<em>Helianthus annuus</em> L.) breeding because the maximum yield of the crop can only be achieved if the cultivars are phenologically adapted to the production environment. Identification of genetic factors that affect flowering could create opportunities for improved breeding methods and for more fundamental investigations of this important trait and its interactions with the environment. The objectives of this study were to locate quantitative trait loci (QTL) for DTF in an elite sunflower population evaluated in four environments. Two hundred thirty-five F<sub>2</sub>-generation plants and their F<sub>3</sub> progeny of a single-cross population of two divergent inbred lines were evaluated in four environments (Fargo, ND and Venado Tuerto, Daireaux, and Balcarce in Argentina). Detection of QTL was facilitated with a genetic linkage map of 205 loci defined by restriction fragment length polymorphism (RFLP) and composite interval mapping. Five QTL of five linkage groups accounted for 89% of the genetic variation for DTF. Gene action was additive at four QTL and dominant at the other locus. Three QTL were detected in all environments and generations. The parental effects and the relative magnitudes of the genetic effects of those QTL were consistent across generations and environments.
Fil: Leon, A. J.. Zeneca Semillas; Argentina
Fil: Andrade, Fernando Héctor. Instituto Nacional de Tecnología Agropecuaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Lee, M.. Iowa State University; Estados Unidos
description The number of days from seedling emergence to flowering (DTF) is a major consideration in sunflower (<em>Helianthus annuus</em> L.) breeding because the maximum yield of the crop can only be achieved if the cultivars are phenologically adapted to the production environment. Identification of genetic factors that affect flowering could create opportunities for improved breeding methods and for more fundamental investigations of this important trait and its interactions with the environment. The objectives of this study were to locate quantitative trait loci (QTL) for DTF in an elite sunflower population evaluated in four environments. Two hundred thirty-five F<sub>2</sub>-generation plants and their F<sub>3</sub> progeny of a single-cross population of two divergent inbred lines were evaluated in four environments (Fargo, ND and Venado Tuerto, Daireaux, and Balcarce in Argentina). Detection of QTL was facilitated with a genetic linkage map of 205 loci defined by restriction fragment length polymorphism (RFLP) and composite interval mapping. Five QTL of five linkage groups accounted for 89% of the genetic variation for DTF. Gene action was additive at four QTL and dominant at the other locus. Three QTL were detected in all environments and generations. The parental effects and the relative magnitudes of the genetic effects of those QTL were consistent across generations and environments.
publishDate 2000
dc.date.none.fl_str_mv 2000-03
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/11336/75891
Leon, A. J.; Andrade, Fernando Héctor; Lee, M.; Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower; American Society of Agronomy; Crop Science; 40; 2; 3-2000; 404-407
0011-183X
1435-0653
CONICET Digital
CONICET
url http://hdl.handle.net/11336/75891
identifier_str_mv Leon, A. J.; Andrade, Fernando Héctor; Lee, M.; Genetic Mapping of Factors Affecting Quantitative Variation for Flowering in Sunflower; American Society of Agronomy; Crop Science; 40; 2; 3-2000; 404-407
0011-183X
1435-0653
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.crops.org/publications/cs/abstracts/40/2/404
info:eu-repo/semantics/altIdentifier/doi/10.2135/cropsci2000.402404x
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Society of Agronomy
publisher.none.fl_str_mv American Society of Agronomy
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.993085

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