Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations

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 identified for 14 traits, out of which 12 QTL were identified 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 confidence 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 identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future.

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Bibliographic Details
Main Authors: Pretini, Nicole, Vanzetti, Leonardo Sebastian, Terrile, Ignacio Ismael, Donaire, Guillermo Manuel, Gonzalez, Fernanda Gabriela
Format: info:ar-repo/semantics/artículo biblioteca
Language:eng
Published: BMC 2021-07
Subjects:Trigo, Triticum aestivum, Loci de Rasgos Cuantitativos, Haploidia, Wheat, Quantitative Trait Loci, Haploidy, LRC (loci de rasgos cuantitativos), QTL (quantitative trait loci),
Online Access:http://hdl.handle.net/20.500.12123/9903
https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-021-03061-y
https://doi.org/10.1186/s12870-021-03061-y
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record_format koha
institution INTA AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-inta-ar
tag biblioteca
region America del Sur
libraryname Biblioteca Central del INTA Argentina
language eng
topic Trigo
Triticum aestivum
Loci de Rasgos Cuantitativos
Haploidia
Wheat
Quantitative Trait Loci
Haploidy
LRC (loci de rasgos cuantitativos)
QTL (quantitative trait loci)
Trigo
Triticum aestivum
Loci de Rasgos Cuantitativos
Haploidia
Wheat
Quantitative Trait Loci
Haploidy
LRC (loci de rasgos cuantitativos)
QTL (quantitative trait loci)
spellingShingle Trigo
Triticum aestivum
Loci de Rasgos Cuantitativos
Haploidia
Wheat
Quantitative Trait Loci
Haploidy
LRC (loci de rasgos cuantitativos)
QTL (quantitative trait loci)
Trigo
Triticum aestivum
Loci de Rasgos Cuantitativos
Haploidia
Wheat
Quantitative Trait Loci
Haploidy
LRC (loci de rasgos cuantitativos)
QTL (quantitative trait loci)
Pretini, Nicole
Vanzetti, Leonardo Sebastian
Terrile, Ignacio Ismael
Donaire, Guillermo Manuel
Gonzalez, Fernanda Gabriela
Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations
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 identified for 14 traits, out of which 12 QTL were identified 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 confidence 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 identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future.
format info:ar-repo/semantics/artículo
topic_facet Trigo
Triticum aestivum
Loci de Rasgos Cuantitativos
Haploidia
Wheat
Quantitative Trait Loci
Haploidy
LRC (loci de rasgos cuantitativos)
QTL (quantitative trait loci)
author Pretini, Nicole
Vanzetti, Leonardo Sebastian
Terrile, Ignacio Ismael
Donaire, Guillermo Manuel
Gonzalez, Fernanda Gabriela
author_facet Pretini, Nicole
Vanzetti, Leonardo Sebastian
Terrile, Ignacio Ismael
Donaire, Guillermo Manuel
Gonzalez, Fernanda Gabriela
author_sort Pretini, Nicole
title Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations
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
publisher BMC
publishDate 2021-07
url http://hdl.handle.net/20.500.12123/9903
https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-021-03061-y
https://doi.org/10.1186/s12870-021-03061-y
work_keys_str_mv AT pretininicole mappingqtlforspikefertilityandrelatedtraitsintwodoubledhaploidwheattriticumaestivumlpopulations
AT vanzettileonardosebastian mappingqtlforspikefertilityandrelatedtraitsintwodoubledhaploidwheattriticumaestivumlpopulations
AT terrileignacioismael mappingqtlforspikefertilityandrelatedtraitsintwodoubledhaploidwheattriticumaestivumlpopulations
AT donaireguillermomanuel mappingqtlforspikefertilityandrelatedtraitsintwodoubledhaploidwheattriticumaestivumlpopulations
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spelling oai:localhost:20.500.12123-99032021-07-28T11:37:55Z Mapping QTL for spike fertility and related traits in two doubled haploid wheat (Triticum aestivum L.) populations Pretini, Nicole Vanzetti, Leonardo Sebastian Terrile, Ignacio Ismael Donaire, Guillermo Manuel Gonzalez, Fernanda Gabriela Trigo Triticum aestivum Loci de Rasgos Cuantitativos Haploidia Wheat Quantitative Trait Loci Haploidy LRC (loci de rasgos cuantitativos) QTL (quantitative trait loci) 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 identified for 14 traits, out of which 12 QTL were identified 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 confidence 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 identified for the spike related traits are the first step to search for their candidate genes, which will allow their better manipulation in the future. EEA Marcos Juárez Fil: Pretini, Nicole. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina Fil: Pretini, Nicole. Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA). Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; 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: Terrile, Ignacio Ismael. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Trigo; Argentina Fil: Donaire, Guillermo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juarez; Argentina. Fil: González, Fernanda Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina. Fil: González, Fernanda Gabriela. Universidad Nacional del Noroeste de la Provincia de Buenos Aires (UNNOBA). Centro de Investigaciones y Transferencia del Noroeste de la Provincia de Buenos Aires; Argentina Fil: González, Fernanda Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentina. 2021-07-28T11:34:01Z 2021-07-28T11:34:01Z 2021-07 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/9903 https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-021-03061-y 1471-2229 https://doi.org/10.1186/s12870-021-03061-y eng info:eu-repograntAgreement/INTA/PNCYO-1127042/AR./Bases ecofisiológicas para el mejoramiento genético y la calidad diferenciada de cereales y oleaginosas. info:eu-repograntAgreement/INTA/2019-PE-E6-I126-001/2019-PE-E6-I126-001/AR./Mejoramiento genético de trigo pan (Triticum aestivum L.) y trigo candeal (Triticum turgidum ssp. durum Desf.) info:eu-repograntAgreement/INTA/2019-PE-E6-I114-001/2019-PE-E6-I114-001/AR./Caracterización de la diversidad genética de plantas, animales y microorganismos mediante herramientas de genómica aplicada. info:eu-repo/semantics/openAccess application/pdf BMC BMC Plant Biology 21 : Article number: 353 (2021)