Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations

Autores
Moreno, M. V.; Nishinakamasu, V.; Loray, M. A.; Alvarez, D.; Gieco, J.; Vicario, A.; Hopp, Horacio Esteban; Heinz, Ruth Amelia; Paniego, Norma Beatriz; Lia, Verónica Viviana
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Open-pollinated (OPs) and composite populations (CPs) represent a valuable resource for sunflower breeding programmes. However, little is known about the levels and distribution of genetic variation within each of these populations. In this study, quantitative and qualitative traits along with molecular markers were used to evaluate 14 populations from the Instituto Nacional de Tecnología Agropecuaria (INTA) sunflower germplasm collection. These populations were chosen to represent historically important accessions that still play a central role within the INTA sunflower breeding programme due to their extensive variation in diverse agronomically important traits. Nine quantitative and eight qualitative agro-morphological descriptors were recorded and compared with those of a larger set of accessions representative of the phenotypic diversity of the sunflower collection. Molecular characterization was conducted on a total of 311 individuals using 16 microsatellite markers. Overall, the average gene diversity was 0.56 and the average number of alleles per locus was 6.25. No statistically significant differences in genetic diversity were detected between the OPs and CPs. Global estimates of F ST revealed very high levels of differentiation among accessions (F ST= 0.413, P< 0.05). Population structure analyses were consistent with the observed levels of differentiation and identified two major groups. The results of this work show that high global diversity is preserved within the accessions analysed here. Additionally, this study provides a set of reliable and discriminant markers for the cost-effective molecular characterization of sunflower accessions, along with the guidelines for the delineation of sampling strategies for OPs and CPs, thus aiding the efficient management and exploitation of sunflower germplasm collections.
Fil: Moreno, M. V.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Nishinakamasu, V.. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Loray, M. A.. Instituto Nacional de Semillas; Argentina
Fil: Alvarez, D.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Gieco, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Vicario, A.. Instituto Nacional de Semillas; Argentina
Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Heinz, Ruth Amelia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lia, Verónica Viviana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Cultivated Sunflower Germplasm
Genetic Diversity
Molecular Markers
Ssr
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:11336/77824
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populationsMoreno, M. V.Nishinakamasu, V.Loray, M. A.Alvarez, D.Gieco, J.Vicario, A.Hopp, Horacio EstebanHeinz, Ruth AmeliaPaniego, Norma BeatrizLia, Verónica VivianaCultivated Sunflower GermplasmGenetic DiversityMolecular MarkersSsrhttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4Open-pollinated (OPs) and composite populations (CPs) represent a valuable resource for sunflower breeding programmes. However, little is known about the levels and distribution of genetic variation within each of these populations. In this study, quantitative and qualitative traits along with molecular markers were used to evaluate 14 populations from the Instituto Nacional de Tecnología Agropecuaria (INTA) sunflower germplasm collection. These populations were chosen to represent historically important accessions that still play a central role within the INTA sunflower breeding programme due to their extensive variation in diverse agronomically important traits. Nine quantitative and eight qualitative agro-morphological descriptors were recorded and compared with those of a larger set of accessions representative of the phenotypic diversity of the sunflower collection. Molecular characterization was conducted on a total of 311 individuals using 16 microsatellite markers. Overall, the average gene diversity was 0.56 and the average number of alleles per locus was 6.25. No statistically significant differences in genetic diversity were detected between the OPs and CPs. Global estimates of F ST revealed very high levels of differentiation among accessions (F ST= 0.413, P< 0.05). Population structure analyses were consistent with the observed levels of differentiation and identified two major groups. The results of this work show that high global diversity is preserved within the accessions analysed here. Additionally, this study provides a set of reliable and discriminant markers for the cost-effective molecular characterization of sunflower accessions, along with the guidelines for the delineation of sampling strategies for OPs and CPs, thus aiding the efficient management and exploitation of sunflower germplasm collections.Fil: Moreno, M. V.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Nishinakamasu, V.. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Loray, M. A.. Instituto Nacional de Semillas; ArgentinaFil: Alvarez, D.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Gieco, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Vicario, A.. Instituto Nacional de Semillas; ArgentinaFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Heinz, Ruth Amelia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lia, Verónica Viviana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaCambridge University Press2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/77824Moreno, M. V.; Nishinakamasu, V.; Loray, M. A.; Alvarez, D.; Gieco, J.; et al.; Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations; Cambridge University Press; Plant Genetic Resources; 11; 3; 12-2013; 238-2491479-2621CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1017/S1479262113000075info:eu-repo/semantics/altIdentifier/url/https://www.cambridge.org/core/journals/plant-genetic-resources/article/genetic-characterization-of-sunflower-breeding-resources-from-argentina-assessing-diversity-in-key-openpollinated-and-composite-populations/B6792D5DA3E0E2D689BF34B84449224Ainfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:20:52Zoai:ri.conicet.gov.ar:11336/77824instacron: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:34982025-10-15 15:20:52.518CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations
title Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations
spellingShingle Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations
Moreno, M. V.
Cultivated Sunflower Germplasm
Genetic Diversity
Molecular Markers
Ssr
title_short Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations
title_full Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations
title_fullStr Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations
title_full_unstemmed Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations
title_sort Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations
dc.creator.none.fl_str_mv Moreno, M. V.
Nishinakamasu, V.
Loray, M. A.
Alvarez, D.
Gieco, J.
Vicario, A.
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Lia, Verónica Viviana
author Moreno, M. V.
author_facet Moreno, M. V.
Nishinakamasu, V.
Loray, M. A.
Alvarez, D.
Gieco, J.
Vicario, A.
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Lia, Verónica Viviana
author_role author
author2 Nishinakamasu, V.
Loray, M. A.
Alvarez, D.
Gieco, J.
Vicario, A.
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Lia, Verónica Viviana
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cultivated Sunflower Germplasm
Genetic Diversity
Molecular Markers
Ssr
topic Cultivated Sunflower Germplasm
Genetic Diversity
Molecular Markers
Ssr
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.4
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Open-pollinated (OPs) and composite populations (CPs) represent a valuable resource for sunflower breeding programmes. However, little is known about the levels and distribution of genetic variation within each of these populations. In this study, quantitative and qualitative traits along with molecular markers were used to evaluate 14 populations from the Instituto Nacional de Tecnología Agropecuaria (INTA) sunflower germplasm collection. These populations were chosen to represent historically important accessions that still play a central role within the INTA sunflower breeding programme due to their extensive variation in diverse agronomically important traits. Nine quantitative and eight qualitative agro-morphological descriptors were recorded and compared with those of a larger set of accessions representative of the phenotypic diversity of the sunflower collection. Molecular characterization was conducted on a total of 311 individuals using 16 microsatellite markers. Overall, the average gene diversity was 0.56 and the average number of alleles per locus was 6.25. No statistically significant differences in genetic diversity were detected between the OPs and CPs. Global estimates of F ST revealed very high levels of differentiation among accessions (F ST= 0.413, P< 0.05). Population structure analyses were consistent with the observed levels of differentiation and identified two major groups. The results of this work show that high global diversity is preserved within the accessions analysed here. Additionally, this study provides a set of reliable and discriminant markers for the cost-effective molecular characterization of sunflower accessions, along with the guidelines for the delineation of sampling strategies for OPs and CPs, thus aiding the efficient management and exploitation of sunflower germplasm collections.
Fil: Moreno, M. V.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Nishinakamasu, V.. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Loray, M. A.. Instituto Nacional de Semillas; Argentina
Fil: Alvarez, D.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Gieco, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Vicario, A.. Instituto Nacional de Semillas; Argentina
Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Heinz, Ruth Amelia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lia, Verónica Viviana. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación en Ciencias Veterinarias y Agronómicas. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Open-pollinated (OPs) and composite populations (CPs) represent a valuable resource for sunflower breeding programmes. However, little is known about the levels and distribution of genetic variation within each of these populations. In this study, quantitative and qualitative traits along with molecular markers were used to evaluate 14 populations from the Instituto Nacional de Tecnología Agropecuaria (INTA) sunflower germplasm collection. These populations were chosen to represent historically important accessions that still play a central role within the INTA sunflower breeding programme due to their extensive variation in diverse agronomically important traits. Nine quantitative and eight qualitative agro-morphological descriptors were recorded and compared with those of a larger set of accessions representative of the phenotypic diversity of the sunflower collection. Molecular characterization was conducted on a total of 311 individuals using 16 microsatellite markers. Overall, the average gene diversity was 0.56 and the average number of alleles per locus was 6.25. No statistically significant differences in genetic diversity were detected between the OPs and CPs. Global estimates of F ST revealed very high levels of differentiation among accessions (F ST= 0.413, P< 0.05). Population structure analyses were consistent with the observed levels of differentiation and identified two major groups. The results of this work show that high global diversity is preserved within the accessions analysed here. Additionally, this study provides a set of reliable and discriminant markers for the cost-effective molecular characterization of sunflower accessions, along with the guidelines for the delineation of sampling strategies for OPs and CPs, thus aiding the efficient management and exploitation of sunflower germplasm collections.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
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/11336/77824
Moreno, M. V.; Nishinakamasu, V.; Loray, M. A.; Alvarez, D.; Gieco, J.; et al.; Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations; Cambridge University Press; Plant Genetic Resources; 11; 3; 12-2013; 238-249
1479-2621
CONICET Digital
CONICET
url http://hdl.handle.net/11336/77824
identifier_str_mv Moreno, M. V.; Nishinakamasu, V.; Loray, M. A.; Alvarez, D.; Gieco, J.; et al.; Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populations; Cambridge University Press; Plant Genetic Resources; 11; 3; 12-2013; 238-249
1479-2621
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1017/S1479262113000075
info:eu-repo/semantics/altIdentifier/url/https://www.cambridge.org/core/journals/plant-genetic-resources/article/genetic-characterization-of-sunflower-breeding-resources-from-argentina-assessing-diversity-in-key-openpollinated-and-composite-populations/B6792D5DA3E0E2D689BF34B84449224A
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 Cambridge University Press
publisher.none.fl_str_mv Cambridge University Press
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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