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

Autores
Moreno, Maria Valeria; Nishinakamasu, Veronica; Loray, M.A.; Alvarez, Daniel; Gieco, Jorge Omar; Hopp, Horacio Esteban; Heinz, Ruth Amelia; Paniego, Norma Beatriz; Lia, Veronica 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 Tecnologı´a 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 FST revealed very high levels of differentiation among accessions (FST ¼ 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.
EEA Manfredi
Fil: Moreno, Maria Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Nishinakamasu, Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Loray, M. A. Instituto Nacional de Semillas (INASE), Buenos Aires; Argentina
Fil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Gieco, Jorge Omar. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Grupo de Biotecnología en Cultivo. Argentina
Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fuente
Plant Genetic Resources 11 (3) : 238-249. (2013)
Materia
Cultivated Land
Sunflowers
Germplasm
Genetic Diversity
Plant Breeding
Genetic Variation
Genetic Markers
Tierras Cultivadas
Girasol
Germoplasma
Diversidad Genética
Fitomejoramiento
Variación Genética
Marcadores Genéticos
Argentina
Molecular Markers
Agromorphological Descriptors
Marcadores Moleculares
Descriptores Agromorfológicos
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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spelling Genetic characterization of sunflower breeding resources from Argentina: assessing diversity in key open-pollinated and composite populationsMoreno, Maria ValeriaNishinakamasu, VeronicaLoray, M.A.Alvarez, DanielGieco, Jorge OmarHopp, Horacio EstebanHeinz, Ruth AmeliaPaniego, Norma BeatrizLia, Veronica VivianaCultivated LandSunflowersGermplasmGenetic DiversityPlant BreedingGenetic VariationGenetic MarkersTierras CultivadasGirasolGermoplasmaDiversidad GenéticaFitomejoramientoVariación GenéticaMarcadores GenéticosArgentinaMolecular MarkersAgromorphological DescriptorsMarcadores MolecularesDescriptores AgromorfológicosOpen-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 Tecnologı´a 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 FST revealed very high levels of differentiation among accessions (FST ¼ 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.EEA ManfrediFil: Moreno, Maria Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Nishinakamasu, Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Loray, M. A. Instituto Nacional de Semillas (INASE), Buenos Aires; ArgentinaFil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Gieco, Jorge Omar. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Grupo de Biotecnología en Cultivo. ArgentinaFil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; ArgentinaFil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaCambridge University Press2024-05-29T10:09:44Z2024-05-29T10:09:44Z2013-03-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/17935https://www.cambridge.org/core/journals/plant-genetic-resources/article/abs/genetic-characterization-of-sunflower-breeding-resources-from-argentina-assessing-diversity-in-key-openpollinated-and-composite-populations/B6792D5DA3E0E2D689BF34B84449224A1479-2621 (Print)1479-263X (Online)https://doi.org/10.1017/S1479262113000075Plant Genetic Resources 11 (3) : 238-249. (2013)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-16T09:31:39Zoai:localhost:20.500.12123/17935instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:31:39.651INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
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, Maria Valeria
Cultivated Land
Sunflowers
Germplasm
Genetic Diversity
Plant Breeding
Genetic Variation
Genetic Markers
Tierras Cultivadas
Girasol
Germoplasma
Diversidad Genética
Fitomejoramiento
Variación Genética
Marcadores Genéticos
Argentina
Molecular Markers
Agromorphological Descriptors
Marcadores Moleculares
Descriptores Agromorfológicos
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, Maria Valeria
Nishinakamasu, Veronica
Loray, M.A.
Alvarez, Daniel
Gieco, Jorge Omar
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Lia, Veronica Viviana
author Moreno, Maria Valeria
author_facet Moreno, Maria Valeria
Nishinakamasu, Veronica
Loray, M.A.
Alvarez, Daniel
Gieco, Jorge Omar
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Lia, Veronica Viviana
author_role author
author2 Nishinakamasu, Veronica
Loray, M.A.
Alvarez, Daniel
Gieco, Jorge Omar
Hopp, Horacio Esteban
Heinz, Ruth Amelia
Paniego, Norma Beatriz
Lia, Veronica Viviana
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cultivated Land
Sunflowers
Germplasm
Genetic Diversity
Plant Breeding
Genetic Variation
Genetic Markers
Tierras Cultivadas
Girasol
Germoplasma
Diversidad Genética
Fitomejoramiento
Variación Genética
Marcadores Genéticos
Argentina
Molecular Markers
Agromorphological Descriptors
Marcadores Moleculares
Descriptores Agromorfológicos
topic Cultivated Land
Sunflowers
Germplasm
Genetic Diversity
Plant Breeding
Genetic Variation
Genetic Markers
Tierras Cultivadas
Girasol
Germoplasma
Diversidad Genética
Fitomejoramiento
Variación Genética
Marcadores Genéticos
Argentina
Molecular Markers
Agromorphological Descriptors
Marcadores Moleculares
Descriptores Agromorfológicos
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 Tecnologı´a 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 FST revealed very high levels of differentiation among accessions (FST ¼ 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.
EEA Manfredi
Fil: Moreno, Maria Valeria. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Nishinakamasu, Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Loray, M. A. Instituto Nacional de Semillas (INASE), Buenos Aires; Argentina
Fil: Alvarez, Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina
Fil: Hopp, Horacio Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Gieco, Jorge Omar. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi. Grupo de Biotecnología en Cultivo. Argentina
Fil: Heinz, Ruth Amelia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Paniego, Norma Beatriz. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina
Fil: Lia, Veronica Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Biotecnología; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; 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 Tecnologı´a 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 FST revealed very high levels of differentiation among accessions (FST ¼ 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 2013-03-25
2024-05-29T10:09:44Z
2024-05-29T10:09:44Z
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/20.500.12123/17935
https://www.cambridge.org/core/journals/plant-genetic-resources/article/abs/genetic-characterization-of-sunflower-breeding-resources-from-argentina-assessing-diversity-in-key-openpollinated-and-composite-populations/B6792D5DA3E0E2D689BF34B84449224A
1479-2621 (Print)
1479-263X (Online)
https://doi.org/10.1017/S1479262113000075
url http://hdl.handle.net/20.500.12123/17935
https://www.cambridge.org/core/journals/plant-genetic-resources/article/abs/genetic-characterization-of-sunflower-breeding-resources-from-argentina-assessing-diversity-in-key-openpollinated-and-composite-populations/B6792D5DA3E0E2D689BF34B84449224A
https://doi.org/10.1017/S1479262113000075
identifier_str_mv 1479-2621 (Print)
1479-263X (Online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
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 restrictedAccess
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 Cambridge University Press
publisher.none.fl_str_mv Cambridge University Press
dc.source.none.fl_str_mv Plant Genetic Resources 11 (3) : 238-249. (2013)
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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