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

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 develope...

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Main Authors: Donaire, Guillermo Manuel, Vanzetti, Leonardo Sebastian, Conde, María Belén, Bainotti, Carlos Tomas, Mir, Leticia Raquel, Borrás, Lucas, Chicaiza, Oswaldo, Helguera, Marcelo
Format: Artículo
Language:Inglés
Published: Springer 2023
Subjects:
Online Access: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
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author Donaire, Guillermo Manuel
Vanzetti, Leonardo Sebastian
Conde, María Belén
Bainotti, Carlos Tomas
Mir, Leticia Raquel
Borrás, Lucas
Chicaiza, Oswaldo
Helguera, Marcelo
author_browse Bainotti, Carlos Tomas
Borrás, Lucas
Chicaiza, Oswaldo
Conde, María Belén
Donaire, Guillermo Manuel
Helguera, Marcelo
Mir, Leticia Raquel
Vanzetti, Leonardo Sebastian
author_facet Donaire, Guillermo Manuel
Vanzetti, Leonardo Sebastian
Conde, María Belén
Bainotti, Carlos Tomas
Mir, Leticia Raquel
Borrás, Lucas
Chicaiza, Oswaldo
Helguera, Marcelo
author_sort Donaire, Guillermo Manuel
collection INTA Digital
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.
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
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spelling INTA146562023-06-29T11:53:11Z Dissecting genetic loci of yield, yield components, and protein content in bread wheat nested association mapping population Donaire, Guillermo Manuel Vanzetti, Leonardo Sebastian Conde, María Belén Bainotti, Carlos Tomas Mir, Leticia Raquel Borrás, Lucas Chicaiza, Oswaldo Helguera, Marcelo Trigo Harinero Rendimiento Caracteres de Rendimiento Loci de Rasgos Cuantitativos Soft Wheat Yields Yield Components Loci Quantitative Trait Loci Trigo Pan QTL 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 2023-06-23T13:58:45Z 2023-06-23T13:58:45Z 2023-05 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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) application/pdf Springer Euphytica 219 : Article number: 65 (2023)
spellingShingle Trigo Harinero
Rendimiento
Caracteres de Rendimiento
Loci de Rasgos Cuantitativos
Soft Wheat
Yields
Yield Components
Loci
Quantitative Trait Loci
Trigo Pan
QTL
Donaire, Guillermo Manuel
Vanzetti, Leonardo Sebastian
Conde, María Belén
Bainotti, Carlos Tomas
Mir, Leticia Raquel
Borrás, Lucas
Chicaiza, Oswaldo
Helguera, Marcelo
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
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_short 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
topic Trigo Harinero
Rendimiento
Caracteres de Rendimiento
Loci de Rasgos Cuantitativos
Soft Wheat
Yields
Yield Components
Loci
Quantitative Trait Loci
Trigo Pan
QTL
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
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