QTLs detection and mapping for yield-related traits in globe artichoke

Autores
Martin, Eugenia Alejandra; Cravero, Vanina Pamela; Lopez Anido, Fernando Sebastian; Cointry Peix, Enrique Luis
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The genetic basis of yield-related traits in Cynara cardunculus L. was studied in a F1 population derived from an inter-botanical varietal cross between wild cardoon and "Estrella del Sur FCA" globe artichoke. The aim of this work was identify and localize QTLs (Quantitative Trait Loci) associated with yield-related traits as a first step to marker-assisted selection. Sixty-eight polymorphic markers (SSR) were used to analyze the segregating population by ANOVA approach. A second analysis based in previous linkage maps of the species was conducted in two seasons by SIM (Simple Interval Mapping) procedure. A total of 66 QTLs associated with seven morphological traits were detected and mapped in the first evaluated season, of these 42 were validated among both seasons. All QTLs identified are major QTLs (explain >10% of phenotypic variation) and 27 of these are responsible for >20% of phenotypic variation. This work represents an initial platform for the dissection of a complex trait, such as yield in the species. Although the QTLs detected need to be more precisely mapped, they will be targets in breeding programs of globe artichoke to improve yield-related traits.
Fil: Martin, Eugenia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Cravero, Vanina Pamela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Lopez Anido, Fernando Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Cointry Peix, Enrique Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Materia
Cynara Cardunculus
Head Production
Linkage Map
Molecular Markers
Quantitative Traits Locus
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:11336/52711
Acceder
id CONICETDig_43853b79a2dc5299335b9886ae48cee6
oai_identifier_str oai:ri.conicet.gov.ar:11336/52711
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling QTLs detection and mapping for yield-related traits in globe artichokeMartin, Eugenia AlejandraCravero, Vanina PamelaLopez Anido, Fernando SebastianCointry Peix, Enrique LuisCynara CardunculusHead ProductionLinkage MapMolecular MarkersQuantitative Traits Locushttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4The genetic basis of yield-related traits in Cynara cardunculus L. was studied in a F1 population derived from an inter-botanical varietal cross between wild cardoon and "Estrella del Sur FCA" globe artichoke. The aim of this work was identify and localize QTLs (Quantitative Trait Loci) associated with yield-related traits as a first step to marker-assisted selection. Sixty-eight polymorphic markers (SSR) were used to analyze the segregating population by ANOVA approach. A second analysis based in previous linkage maps of the species was conducted in two seasons by SIM (Simple Interval Mapping) procedure. A total of 66 QTLs associated with seven morphological traits were detected and mapped in the first evaluated season, of these 42 were validated among both seasons. All QTLs identified are major QTLs (explain >10% of phenotypic variation) and 27 of these are responsible for >20% of phenotypic variation. This work represents an initial platform for the dissection of a complex trait, such as yield in the species. Although the QTLs detected need to be more precisely mapped, they will be targets in breeding programs of globe artichoke to improve yield-related traits.Fil: Martin, Eugenia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Cravero, Vanina Pamela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Lopez Anido, Fernando Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaFil: Cointry Peix, Enrique Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; ArgentinaElsevier Science2016-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/52711Martin, Eugenia Alejandra; Cravero, Vanina Pamela; Lopez Anido, Fernando Sebastian; Cointry Peix, Enrique Luis; QTLs detection and mapping for yield-related traits in globe artichoke; Elsevier Science; Scientia Horticulturae; 202; 4-2016; 156-1640304-4238CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304423816300802info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scienta.2016.02.033info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:43:34Zoai:ri.conicet.gov.ar:11336/52711instacron: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:34982025-09-03 09:43:34.403CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv QTLs detection and mapping for yield-related traits in globe artichoke
title QTLs detection and mapping for yield-related traits in globe artichoke
spellingShingle QTLs detection and mapping for yield-related traits in globe artichoke
Martin, Eugenia Alejandra
Cynara Cardunculus
Head Production
Linkage Map
Molecular Markers
Quantitative Traits Locus
title_short QTLs detection and mapping for yield-related traits in globe artichoke
title_full QTLs detection and mapping for yield-related traits in globe artichoke
title_fullStr QTLs detection and mapping for yield-related traits in globe artichoke
title_full_unstemmed QTLs detection and mapping for yield-related traits in globe artichoke
title_sort QTLs detection and mapping for yield-related traits in globe artichoke
dc.creator.none.fl_str_mv Martin, Eugenia Alejandra
Cravero, Vanina Pamela
Lopez Anido, Fernando Sebastian
Cointry Peix, Enrique Luis
author Martin, Eugenia Alejandra
author_facet Martin, Eugenia Alejandra
Cravero, Vanina Pamela
Lopez Anido, Fernando Sebastian
Cointry Peix, Enrique Luis
author_role author
author2 Cravero, Vanina Pamela
Lopez Anido, Fernando Sebastian
Cointry Peix, Enrique Luis
author2_role author
author
author
dc.subject.none.fl_str_mv Cynara Cardunculus
Head Production
Linkage Map
Molecular Markers
Quantitative Traits Locus
topic Cynara Cardunculus
Head Production
Linkage Map
Molecular Markers
Quantitative Traits Locus
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.4
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The genetic basis of yield-related traits in Cynara cardunculus L. was studied in a F1 population derived from an inter-botanical varietal cross between wild cardoon and "Estrella del Sur FCA" globe artichoke. The aim of this work was identify and localize QTLs (Quantitative Trait Loci) associated with yield-related traits as a first step to marker-assisted selection. Sixty-eight polymorphic markers (SSR) were used to analyze the segregating population by ANOVA approach. A second analysis based in previous linkage maps of the species was conducted in two seasons by SIM (Simple Interval Mapping) procedure. A total of 66 QTLs associated with seven morphological traits were detected and mapped in the first evaluated season, of these 42 were validated among both seasons. All QTLs identified are major QTLs (explain >10% of phenotypic variation) and 27 of these are responsible for >20% of phenotypic variation. This work represents an initial platform for the dissection of a complex trait, such as yield in the species. Although the QTLs detected need to be more precisely mapped, they will be targets in breeding programs of globe artichoke to improve yield-related traits.
Fil: Martin, Eugenia Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Cravero, Vanina Pamela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Lopez Anido, Fernando Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Fil: Cointry Peix, Enrique Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
description The genetic basis of yield-related traits in Cynara cardunculus L. was studied in a F1 population derived from an inter-botanical varietal cross between wild cardoon and "Estrella del Sur FCA" globe artichoke. The aim of this work was identify and localize QTLs (Quantitative Trait Loci) associated with yield-related traits as a first step to marker-assisted selection. Sixty-eight polymorphic markers (SSR) were used to analyze the segregating population by ANOVA approach. A second analysis based in previous linkage maps of the species was conducted in two seasons by SIM (Simple Interval Mapping) procedure. A total of 66 QTLs associated with seven morphological traits were detected and mapped in the first evaluated season, of these 42 were validated among both seasons. All QTLs identified are major QTLs (explain >10% of phenotypic variation) and 27 of these are responsible for >20% of phenotypic variation. This work represents an initial platform for the dissection of a complex trait, such as yield in the species. Although the QTLs detected need to be more precisely mapped, they will be targets in breeding programs of globe artichoke to improve yield-related traits.
publishDate 2016
dc.date.none.fl_str_mv 2016-04
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/11336/52711
Martin, Eugenia Alejandra; Cravero, Vanina Pamela; Lopez Anido, Fernando Sebastian; Cointry Peix, Enrique Luis; QTLs detection and mapping for yield-related traits in globe artichoke; Elsevier Science; Scientia Horticulturae; 202; 4-2016; 156-164
0304-4238
CONICET Digital
CONICET
url http://hdl.handle.net/11336/52711
identifier_str_mv Martin, Eugenia Alejandra; Cravero, Vanina Pamela; Lopez Anido, Fernando Sebastian; Cointry Peix, Enrique Luis; QTLs detection and mapping for yield-related traits in globe artichoke; Elsevier Science; Scientia Horticulturae; 202; 4-2016; 156-164
0304-4238
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.sciencedirect.com/science/article/pii/S0304423816300802
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scienta.2016.02.033
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
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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 13.13397

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