QTL analysis for agronomic traits in a barley doubled haploids population grown in Iran

Peighambari, Seyed Ali; Samadi, B Yazdi; Nabipour, Alireza; Charmet, G.; Sarrafi, A.

doi:10.1016/j.plantsci.2005.05.018

Cited by 35 publications

(32 citation statements)

References 28 publications

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“…The QTLs affecting the number of grains per spike on chromosome 2H have been reported by Mohammadi and Baum (2008) and Mehravaran et al (2014), and in our investigation, SNP 5880–2547 was also the nearest marker for QTLs related to grain weight per main and lateral spike and grain weight per plant. These results are in agreement with the findings of Peighambari et al (2005) who found the QTL for grain yield on chromosome 2H. In other studies QTLs for grain yield were identified on almost all the barley chromosomes (Cuesta-Marcos et al 2009; Mansour et al 2014; Mehravaran et al 2014).…”

Section: Discussionsupporting

confidence: 91%

QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes

et al. 2016

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Drought has become more frequent in Central Europe causing large losses in cereal yields, especially of spring crops. The development of new varieties with increased tolerance to drought is a key tool for improvement of agricultural productivity. Material for the study consisted of 100 barley recombinant inbred lines (RILs) (LCam) derived from the cross between Syrian and European parents. The RILs and parental genotypes were examined in greenhouse experiments under well-watered and water-deficit conditions. During vegetation the date of heading, yield and yield-related traits were measured. RIL population was genotyped with microsatellite and single nucleotide polymorphism markers. This population, together with two other populations, was the basis for the consensus map construction, which was used for identification of quantitative trait loci (QTLs) affecting the traits. The studied lines showed a large variability in heading date. It was noted that drought-treatment negatively affected the yield and its components, especially when applied at the flag leaf stage. In total, 60 QTLs were detected on all the barley chromosomes. The largest number of QTLs was found on chromosome 2H. The main QTL associated with heading, located on chromosome 2H (Q.HD.LC-2H), was identified at SNP marker 5880–2547, in the vicinity of Ppd-H1 gene. SNP 5880–2547 was also the closest marker to QTLs associated with plant architecture, spike morphology and grain yield. The present study showed that the earliness allele from the Syrian parent, as introduced into the genome of an European variety could result in an improvement of barley yield performance under drought conditions.Electronic supplementary materialThe online version of this article (doi:10.1007/s13353-016-0363-4) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 91%

QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes

et al. 2016

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“…QTLs collocation justifies correlation between attributes. Peighambari et al (2005) reported in this population of the QTLs controlling the attributes day to flowering, Heading, Total growth duration, Height, Spike length, Spike per plant, Seed per spike, 1000-seed weight, Protein content(%) and grain yield are stable in varying years and they can be used in selection by means of marker. Application of selection by means of marker for such attributes as performance and malt quality in this population has been shown (Ayoub et al, 2003).…”

Section: Discussionmentioning

confidence: 88%

“…To make sure of perfect linkage between marker and QTL without an error of first type or its reduction in selection by means of the marker, several meiotic cycles are required. Different pieces of research have used QTL analysis for different criteria of Steptoe and Morex population such as malt quality (Ayoub et al, 2003), yield and its components (Peighambari et al, 2005), seed quality (Abdel-Haleem, 2004;Han et al, 1997;See et al, 2002), forage quality (Taleei et al, 2009;Siyahsar and Narouei 2010) and environmental adaptation (Mickelson et al, 2003;Kolatsou and Palmer, 2004 ;Malosetti et al, 2004;Mayo, 2004). In this issue we will consider precence or nonprecence of malting quality QTLs for 150 Steptoe × Morex DH lines in environment of Iran (Karaj).…”

Section: Introductionmentioning

confidence: 99%

QTL analysis for Malt Quality in DH Lines of Barley (Steptoe × Morex) grown in Iran

Sadeghi¹,

Sarhadi

Peighambari

et al. 2013

Turkish JAF Sci.Tech.

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In order to study the quantitative variability of malting quality-related traits and to determine the genomic locations which control these traits, an experiment was conducted using one hundred fifty double haploid (DH) lines of barley and their two parents ‛Steptoe' & ‛Morex'. Protein content (%) was measured using Kjeldahl method, diastatic power calculated with Lintner formula, Malt extract was measured for each by special weight achieved and based on Malt Berix Charts. Transgressive segregation in both directions was observed for all traits. Genetic map is fairly saturated and comprising 327 RFLP markers with a total length of 1226.3cM with an average marker spacing of 3.75cM. Seventeen QTLs by LOD≤2(LRS≤9.21) controlling different studied traits were identified for all studied traits. Total phenotypic variance explained by these QTLs varies from 23.2 to 45.05%. Highest LOD scores were obtained for QTL's controlling diastatic power (Qdip3Ha) on chromosome 3H, and lowest LOD scores were obtained for QTL's controlling seed yield per plant (Qsyp1Hb) on chromosome 1H. Therefore gain through marker-assisted selection (MAS) in this population would be limited and some of the "Steptoe× Morex" population was developed with the intention of isolating and advancing barley lines for release to the malting quality.

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“…This region was shown to control RWC and TGW across several Mediterranean environments (Teulat et al 2003), and in the OWB population it is responsible for shoot growth under stress conditions. The stressspecific locus on 5H also seems to overlap with the TGW QTL identified in the 'Steptoe' 9 'Morex' population (Peighambari et al 2005) and with the RWC QTL from the 'Tadmor' 9 'Er/Apm' population. Based on the alignment of the abiotic QTL consensus map by Rostoks et al (2005), a salt sensitivity QTL and a QTL for abscisic acid response at germination are also in the neighbouring region (Fig.…”

Section: Qtls For Tolerance Of Osmotic Stress and Drought In Barleymentioning

confidence: 80%

Could EST-based markers be used for the marker-assisted selection of drought tolerant barley (Hordeum vulgare) lines?

et al. 2010

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To improve our knowledge on the genetic control of drought tolerance, the Oregon Wolfe Barleys (OWB), considered as a reference population in genetic mapping, were subjected to various types of water deficit. Overall, when investigating numerous environments and replications, 40 QTLs were identified in three developmental stages. Based on these loci five QTL clusters were separated, which affect various drought-related traits in at least two developmental stages. Several candidate genes were identified for each QTL cluster using an expressed sequence tag (EST)-based map with high marker density. The putative role of the candidates in drought tolerance is discussed. The phenotypic effect of three of the five candidate genes was also tested on 39 barley landraces and cultivars and a significant relationship was found between the allelic composition of these genes and yield production under stress conditions. This study presents a relevant example of the use of reliable QTL data in the candidate gene approach, while also demonstrating how the results could be practically utilized in marker-assisted selection (MAS).

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QTL analysis for agronomic traits in a barley doubled haploids population grown in Iran

Cited by 35 publications

References 28 publications

QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes

QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes

QTL analysis for Malt Quality in DH Lines of Barley (Steptoe × Morex) grown in Iran

Could EST-based markers be used for the marker-assisted selection of drought tolerant barley (Hordeum vulgare) lines?

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