Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations
- Autores
- Pretini, Nicole; Vanzetti, Leonardo Sebastián; Terrile, Ignacio Ismael; Donaire, Alejandro Guillermo; González, Fernanda Gabriela
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Background: In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11×BioINTA 2002 and Baguette 19×BioINTA 2002). Results: In total 305 QTL were identifed for 14 traits, out of which 12 QTL were identifed in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confdence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions: Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identifed for the spike related traits are the frst step to search for their candidate genes, which will allow their better manipulation in the future.
Fil: Pretini, Nicole. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina
Fil: Vanzetti, Leonardo Sebastián. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Marcos Juárez; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Terrile, Ignacio Ismael. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina
Fil: Donaire, Alejandro Guillermo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Marcos Juárez; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: González, Fernanda Gabriela. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina - Materia
-
Grain number
Spike length
Spikelets per spike
Fertile florets
Grain weight - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/166657
Ver los metadatos del registro completo
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oai:ri.conicet.gov.ar:11336/166657 |
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3498 |
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CONICET Digital (CONICET) |
spelling |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populationsPretini, NicoleVanzetti, Leonardo SebastiánTerrile, Ignacio IsmaelDonaire, Alejandro GuillermoGonzález, Fernanda GabrielaGrain numberSpike lengthSpikelets per spikeFertile floretsGrain weighthttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4Background: In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11×BioINTA 2002 and Baguette 19×BioINTA 2002). Results: In total 305 QTL were identifed for 14 traits, out of which 12 QTL were identifed in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confdence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions: Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identifed for the spike related traits are the frst step to search for their candidate genes, which will allow their better manipulation in the future.Fil: Pretini, Nicole. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; ArgentinaFil: Vanzetti, Leonardo Sebastián. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Marcos Juárez; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Terrile, Ignacio Ismael. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; ArgentinaFil: Donaire, Alejandro Guillermo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Marcos Juárez; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: González, Fernanda Gabriela. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; ArgentinaBioMed Central2021-07-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/166657Pretini, Nicole; Vanzetti, Leonardo Sebastián; Terrile, Ignacio Ismael; Donaire, Alejandro Guillermo; González, Fernanda Gabriela; Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations; BioMed Central; BMC Plant Biology; 21; 1; 26-7-2021; 1-181471-22291471-2229CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-021-03061-yinfo:eu-repo/semantics/altIdentifier/doi/10.1186/s12870-021-03061-yinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:08:37Zoai:ri.conicet.gov.ar:11336/166657instacron: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:34982025-09-29 10:08:37.595CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations |
title |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations |
spellingShingle |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations Pretini, Nicole Grain number Spike length Spikelets per spike Fertile florets Grain weight |
title_short |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations |
title_full |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations |
title_fullStr |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations |
title_full_unstemmed |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations |
title_sort |
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations |
dc.creator.none.fl_str_mv |
Pretini, Nicole Vanzetti, Leonardo Sebastián Terrile, Ignacio Ismael Donaire, Alejandro Guillermo González, Fernanda Gabriela |
author |
Pretini, Nicole |
author_facet |
Pretini, Nicole Vanzetti, Leonardo Sebastián Terrile, Ignacio Ismael Donaire, Alejandro Guillermo González, Fernanda Gabriela |
author_role |
author |
author2 |
Vanzetti, Leonardo Sebastián Terrile, Ignacio Ismael Donaire, Alejandro Guillermo González, Fernanda Gabriela |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Grain number Spike length Spikelets per spike Fertile florets Grain weight |
topic |
Grain number Spike length Spikelets per spike Fertile florets Grain weight |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.4 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
Background: In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11×BioINTA 2002 and Baguette 19×BioINTA 2002). Results: In total 305 QTL were identifed for 14 traits, out of which 12 QTL were identifed in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confdence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions: Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identifed for the spike related traits are the frst step to search for their candidate genes, which will allow their better manipulation in the future. Fil: Pretini, Nicole. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina Fil: Vanzetti, Leonardo Sebastián. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Marcos Juárez; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina Fil: Terrile, Ignacio Ismael. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina Fil: Donaire, Alejandro Guillermo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Córdoba. Estación Experimental Agropecuaria Marcos Juárez; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina Fil: González, Fernanda Gabriela. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina |
description |
Background: In breeding programs, the selection of cultivars with the highest yield potential consisted in the selection of the yield per se, which resulted in cultivars with higher grains per spike (GN) and occasionally increased grain weight (GW) (main numerical components of the yield). In this study, quantitative trait loci (QTL) for GW, GN and spike fertility traits related to GN determination were mapped using two doubled haploid (DH) populations (Baguette Premium 11×BioINTA 2002 and Baguette 19×BioINTA 2002). Results: In total 305 QTL were identifed for 14 traits, out of which 12 QTL were identifed in more than three environments and explained more than 10% of the phenotypic variation in at least one environment. Eight hotspot regions were detected on chromosomes 1A, 2B, 3A, 5A, 5B, 7A and 7B in which at least two major and stable QTL sheared confdence intervals. QTL on two of these regions (R5A.1 and R5A.2) have previously been described, but the other six regions are novel. Conclusions: Based on the pleiotropic analysis within a robust physiological model we conclude that two hotspot genomic regions (R5A.1 and R5A.2) together with the QGW.perg-6B are of high relevance to be used in marker assisted selection in order to improve the spike yield potential. All the QTL identifed for the spike related traits are the frst step to search for their candidate genes, which will allow their better manipulation in the future. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-26 |
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/11336/166657 Pretini, Nicole; Vanzetti, Leonardo Sebastián; Terrile, Ignacio Ismael; Donaire, Alejandro Guillermo; González, Fernanda Gabriela; Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations; BioMed Central; BMC Plant Biology; 21; 1; 26-7-2021; 1-18 1471-2229 1471-2229 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/166657 |
identifier_str_mv |
Pretini, Nicole; Vanzetti, Leonardo Sebastián; Terrile, Ignacio Ismael; Donaire, Alejandro Guillermo; González, Fernanda Gabriela; Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations; BioMed Central; BMC Plant Biology; 21; 1; 26-7-2021; 1-18 1471-2229 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://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-021-03061-y info:eu-repo/semantics/altIdentifier/doi/10.1186/s12870-021-03061-y |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
BioMed Central |
publisher.none.fl_str_mv |
BioMed Central |
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 |
13.070432 |