Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population

Autores
Donaire, Guillermo Manuel; Vanzetti, Leonardo Sebastian; Conde, María Belén; Bainotti, Carlos Tomas; Mir, Leticia Raquel; Borrás, Lucas; Chicaiza, Oswaldo; Helguera, Marcelo
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the last century wheat breeding programs have shown consistent yield increases, often associated with lower grain protein concentrations (GPC). A better understanding of the genetic basis of grain yield and grain protein content can help break the grain yield—GPC negative correlation. We developed a nested association mapping population composing a set of spring wheat genotypes for genetic dissection of grain yield and quality with ‘Blanca Fuerte’ (high yield and low grain protein content) as recurrent parent and cultivars and advanced lines from CIMMYT and California (UC Davis breeding program, medium–high yield and grain protein content). The QTL analyses revealed three genomic regions on chromosomes 2B, 6A, and 6B associated with significant increases in GPC but negative effects on yield, and one region on chromosome 5B associated with significant increases in grain yield but negative effects on GPC. More interestingly, we identified two genomic regions on chromosomes 2B and 3B associated with increases in GPC and no significant effects on grain yield and a genomic region on chromosome 1A associated with a significant increase in grain yield and no penalty in GPC. These last three genomic regions and their associated markers are promising tools for wheat breeding programs interested in breaking the negative correlation between GPC and grain yield.
EEA Marcos Juárez
Fil: Donaire, Guillermo Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Vanzetti, Leonardo Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Vanzetti, Leonardo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Conde, María Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Bainotti, Carlos Tomas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Mir, Leticia Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Borrás, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Borrás, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Chicaiza, Oswaldo. University of California at Davis. Department of Plant Sciences; Estados Unidos
Fil: Helguera, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Helguera, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias; Argentina
Fuente
Euphytica 219 : Article number: 65 (2023)
Materia
Trigo Harinero
Rendimiento
Caracteres de Rendimiento
Loci de Rasgos Cuantitativos
Soft Wheat
Yields
Yield Components
Loci
Quantitative Trait Loci
Trigo Pan
QTL
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
oai:localhost:20.500.12123/14656
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oai_identifier_str oai:localhost:20.500.12123/14656
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spelling Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping populationDonaire, Guillermo ManuelVanzetti, Leonardo SebastianConde, María BelénBainotti, Carlos TomasMir, Leticia RaquelBorrás, LucasChicaiza, OswaldoHelguera, MarceloTrigo HarineroRendimientoCaracteres de RendimientoLoci de Rasgos CuantitativosSoft WheatYieldsYield ComponentsLociQuantitative Trait LociTrigo PanQTLIn the last century wheat breeding programs have shown consistent yield increases, often associated with lower grain protein concentrations (GPC). A better understanding of the genetic basis of grain yield and grain protein content can help break the grain yield—GPC negative correlation. We developed a nested association mapping population composing a set of spring wheat genotypes for genetic dissection of grain yield and quality with ‘Blanca Fuerte’ (high yield and low grain protein content) as recurrent parent and cultivars and advanced lines from CIMMYT and California (UC Davis breeding program, medium–high yield and grain protein content). The QTL analyses revealed three genomic regions on chromosomes 2B, 6A, and 6B associated with significant increases in GPC but negative effects on yield, and one region on chromosome 5B associated with significant increases in grain yield but negative effects on GPC. More interestingly, we identified two genomic regions on chromosomes 2B and 3B associated with increases in GPC and no significant effects on grain yield and a genomic region on chromosome 1A associated with a significant increase in grain yield and no penalty in GPC. These last three genomic regions and their associated markers are promising tools for wheat breeding programs interested in breaking the negative correlation between GPC and grain yield.EEA Marcos JuárezFil: Donaire, Guillermo Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; ArgentinaFil: Vanzetti, Leonardo Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; ArgentinaFil: Vanzetti, Leonardo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Conde, María Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; ArgentinaFil: Bainotti, Carlos Tomas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; ArgentinaFil: Mir, Leticia Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; ArgentinaFil: Borrás, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Borrás, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaFil: Chicaiza, Oswaldo. University of California at Davis. Department of Plant Sciences; Estados UnidosFil: Helguera, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; ArgentinaFil: Helguera, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias; ArgentinaSpringer2023-06-23T13:58:45Z2023-06-23T13:58:45Z2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/14656https://link.springer.com/article/10.1007/s10681-023-03195-00014-23361573-5060https://doi.org/10.1007/s10681-023-03195-0Euphytica 219 : Article number: 65 (2023)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)2025-10-23T11:18:22Zoai:localhost:20.500.12123/14656instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:18:22.68INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population
title Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population
spellingShingle Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population
Donaire, Guillermo Manuel
Trigo Harinero
Rendimiento
Caracteres de Rendimiento
Loci de Rasgos Cuantitativos
Soft Wheat
Yields
Yield Components
Loci
Quantitative Trait Loci
Trigo Pan
QTL
title_short Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population
title_full Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population
title_fullStr Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population
title_full_unstemmed Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population
title_sort Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population
dc.creator.none.fl_str_mv Donaire, Guillermo Manuel
Vanzetti, Leonardo Sebastian
Conde, María Belén
Bainotti, Carlos Tomas
Mir, Leticia Raquel
Borrás, Lucas
Chicaiza, Oswaldo
Helguera, Marcelo
author Donaire, Guillermo Manuel
author_facet Donaire, Guillermo Manuel
Vanzetti, Leonardo Sebastian
Conde, María Belén
Bainotti, Carlos Tomas
Mir, Leticia Raquel
Borrás, Lucas
Chicaiza, Oswaldo
Helguera, Marcelo
author_role author
author2 Vanzetti, Leonardo Sebastian
Conde, María Belén
Bainotti, Carlos Tomas
Mir, Leticia Raquel
Borrás, Lucas
Chicaiza, Oswaldo
Helguera, Marcelo
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Trigo Harinero
Rendimiento
Caracteres de Rendimiento
Loci de Rasgos Cuantitativos
Soft Wheat
Yields
Yield Components
Loci
Quantitative Trait Loci
Trigo Pan
QTL
topic Trigo Harinero
Rendimiento
Caracteres de Rendimiento
Loci de Rasgos Cuantitativos
Soft Wheat
Yields
Yield Components
Loci
Quantitative Trait Loci
Trigo Pan
QTL
dc.description.none.fl_txt_mv In the last century wheat breeding programs have shown consistent yield increases, often associated with lower grain protein concentrations (GPC). A better understanding of the genetic basis of grain yield and grain protein content can help break the grain yield—GPC negative correlation. We developed a nested association mapping population composing a set of spring wheat genotypes for genetic dissection of grain yield and quality with ‘Blanca Fuerte’ (high yield and low grain protein content) as recurrent parent and cultivars and advanced lines from CIMMYT and California (UC Davis breeding program, medium–high yield and grain protein content). The QTL analyses revealed three genomic regions on chromosomes 2B, 6A, and 6B associated with significant increases in GPC but negative effects on yield, and one region on chromosome 5B associated with significant increases in grain yield but negative effects on GPC. More interestingly, we identified two genomic regions on chromosomes 2B and 3B associated with increases in GPC and no significant effects on grain yield and a genomic region on chromosome 1A associated with a significant increase in grain yield and no penalty in GPC. These last three genomic regions and their associated markers are promising tools for wheat breeding programs interested in breaking the negative correlation between GPC and grain yield.
EEA Marcos Juárez
Fil: Donaire, Guillermo Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Vanzetti, Leonardo Sebastian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Vanzetti, Leonardo Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Conde, María Belén. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Bainotti, Carlos Tomas. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Mir, Leticia Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Borrás, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Borrás, Lucas. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Chicaiza, Oswaldo. University of California at Davis. Department of Plant Sciences; Estados Unidos
Fil: Helguera, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez; Argentina
Fil: Helguera, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro de Investigaciones Agropecuarias; Argentina
description In the last century wheat breeding programs have shown consistent yield increases, often associated with lower grain protein concentrations (GPC). A better understanding of the genetic basis of grain yield and grain protein content can help break the grain yield—GPC negative correlation. We developed a nested association mapping population composing a set of spring wheat genotypes for genetic dissection of grain yield and quality with ‘Blanca Fuerte’ (high yield and low grain protein content) as recurrent parent and cultivars and advanced lines from CIMMYT and California (UC Davis breeding program, medium–high yield and grain protein content). The QTL analyses revealed three genomic regions on chromosomes 2B, 6A, and 6B associated with significant increases in GPC but negative effects on yield, and one region on chromosome 5B associated with significant increases in grain yield but negative effects on GPC. More interestingly, we identified two genomic regions on chromosomes 2B and 3B associated with increases in GPC and no significant effects on grain yield and a genomic region on chromosome 1A associated with a significant increase in grain yield and no penalty in GPC. These last three genomic regions and their associated markers are promising tools for wheat breeding programs interested in breaking the negative correlation between GPC and grain yield.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-23T13:58:45Z
2023-06-23T13:58:45Z
2023-05
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/20.500.12123/14656
https://link.springer.com/article/10.1007/s10681-023-03195-0
0014-2336
1573-5060
https://doi.org/10.1007/s10681-023-03195-0
url http://hdl.handle.net/20.500.12123/14656
https://link.springer.com/article/10.1007/s10681-023-03195-0
https://doi.org/10.1007/s10681-023-03195-0
identifier_str_mv 0014-2336
1573-5060
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 Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Euphytica 219 : Article number: 65 (2023)
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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