Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers

Many agriculturally important traits are complex, affected by many genes and the environment. Quantitative trait loci (QTL) mapping is a key tool for studying the genetic structure of complex traits in plants. In the present study QTLs associated with yield and agronomical traits such as leaf number...

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Main Authors: Nader Eyvaznejad, Reza Darvishzadeh
Format: Article
Language:English
Published: Genetics and Agricultural Biotechnology Institute of Tabarestan 2014-12-01
Series:Journal of Plant Molecular Breeding
Subjects:
Online Access:http://www.jpmb-gabit.ir/article_11954_b0583fcaa0f318b68879145d7a1de8f0.pdf
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author Nader Eyvaznejad
Reza Darvishzadeh
author_facet Nader Eyvaznejad
Reza Darvishzadeh
author_sort Nader Eyvaznejad
collection DOAJ
description Many agriculturally important traits are complex, affected by many genes and the environment. Quantitative trait loci (QTL) mapping is a key tool for studying the genetic structure of complex traits in plants. In the present study QTLs associated with yield and agronomical traits such as leaf number, leaf length, leaf width, plant height, stem and head diameter were identified by using 70 recombinant inbred lines (RILs) from the cross (♀) PAC2 × RHA266(♂). RILs and their parents were evaluated in a rectangular 8´9 lattice design with two replications. High genetic variability and transgressive segregation were observed in all studied traits. Genetic gain representing the difference between 10% of selected RILs and their parents was significant for most of the studied traits. Positive and significant genotypic and phenotypic correlations were observed among the studied traits. QTL analysis was performed using a recently developed SSR and SNP sunflower linkage map. The map consists of 210 SSRs and 11 SNP markers placed in 17 linkage groups (LGs). The total map length is 1,653.1 cM with a mean density of 1 marker per 7.44 cM. Composite interval mapping (CIM) procedure detected 21 QTLs involved in genetic control of studied traits. The phenotypic variance explained by the identified QTLs varied from 1.13 to 73.70%. QTLs such as HMBPP associated with the expression of more than one trait could increase the efficiency of marker-assisted selection (MAS) and genetic progress in sunflower.
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spelling doaj.art-c9d2e200b4464f34b952f962b5090c832022-12-21T20:07:09ZengGenetics and Agricultural Biotechnology Institute of TabarestanJournal of Plant Molecular Breeding2322-33322322-50922014-12-0122688710.22058/jpmb.2014.1195411954Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markersNader Eyvaznejad0Reza Darvishzadeh1Department of Plant Breeding and Biotechnology, Urmia University, Urmia, Iran.Institute of Biotechnology, Urmia University, Urmia, Iran.Many agriculturally important traits are complex, affected by many genes and the environment. Quantitative trait loci (QTL) mapping is a key tool for studying the genetic structure of complex traits in plants. In the present study QTLs associated with yield and agronomical traits such as leaf number, leaf length, leaf width, plant height, stem and head diameter were identified by using 70 recombinant inbred lines (RILs) from the cross (♀) PAC2 × RHA266(♂). RILs and their parents were evaluated in a rectangular 8´9 lattice design with two replications. High genetic variability and transgressive segregation were observed in all studied traits. Genetic gain representing the difference between 10% of selected RILs and their parents was significant for most of the studied traits. Positive and significant genotypic and phenotypic correlations were observed among the studied traits. QTL analysis was performed using a recently developed SSR and SNP sunflower linkage map. The map consists of 210 SSRs and 11 SNP markers placed in 17 linkage groups (LGs). The total map length is 1,653.1 cM with a mean density of 1 marker per 7.44 cM. Composite interval mapping (CIM) procedure detected 21 QTLs involved in genetic control of studied traits. The phenotypic variance explained by the identified QTLs varied from 1.13 to 73.70%. QTLs such as HMBPP associated with the expression of more than one trait could increase the efficiency of marker-assisted selection (MAS) and genetic progress in sunflower.http://www.jpmb-gabit.ir/article_11954_b0583fcaa0f318b68879145d7a1de8f0.pdfgenetic variationlinkage mapMolecular markersQTL mappingsunfloweryield-related traits
spellingShingle Nader Eyvaznejad
Reza Darvishzadeh
Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers
Journal of Plant Molecular Breeding
genetic variation
linkage map
Molecular markers
QTL mapping
sunflower
yield-related traits
title Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers
title_full Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers
title_fullStr Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers
title_full_unstemmed Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers
title_short Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers
title_sort identification of qtls for grain yield and some agro morphological traits in sunflower helianthus annuus l using ssr and snp markers
topic genetic variation
linkage map
Molecular markers
QTL mapping
sunflower
yield-related traits
url http://www.jpmb-gabit.ir/article_11954_b0583fcaa0f318b68879145d7a1de8f0.pdf
work_keys_str_mv AT nadereyvaznejad identificationofqtlsforgrainyieldandsomeagromorphologicaltraitsinsunflowerhelianthusannuuslusingssrandsnpmarkers
AT rezadarvishzadeh identificationofqtlsforgrainyieldandsomeagromorphologicaltraitsinsunflowerhelianthusannuuslusingssrandsnpmarkers