Identification of microsatellite markers linked with yield components under drought stress at terminal growth stages in durum wheat |
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Authors: | M Golabadi A Arzani S A M Mirmohammadi Maibody B E Sayed Tabatabaei S A Mohammadi |
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Institution: | (1) Department of Agronomy and Plant Breeding, College of Agriculture, Islamic Azad University, Khorasgan Branch, Isfahan, Iran;(2) Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, 8415683111 Isfahan, Iran;(3) Department of Biotechnology, College of Agriculture, Isfahan University of Technology, 8415683111 Isfahan, Iran;(4) Department of Agronomy and Plant Breeding, College of Agriculture, University of Tabriz, Tabriz, Iran |
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Abstract: | Grain yield and yield components are the main important traits involved in durum wheat (Triticum turgidum L.) improvement programs. The purpose of this research was to identify quantitative trait loci (QTL) associated with yield
components such as 1000 grain weight (TGW), grain weight per spike (GWS), number of grains per spike (GNS), spike number per
m2 (SN), spike weight (SW), spike harvest index (SHI) and harvest index (HI) using microsatellite markers. Populations of F3 and F4 lines derived from 151 F2 individuals developed from a cross between Oste-Gata, a drought tolerant, and Massara-1, a drought susceptible durum wheat
genotypes, were used. The populations were evaluated under four environmental conditions including two irrigation regimes
of drought stress at terminal growth stages and normal field conditions in two growing seasons. Two hundred microsatellite
markers reported for A and B genomes of bread wheat were used for parental polymorphism analysis and 30 polymorphic markers
were applied to genotype 151 F2:3 families. QTL analysis was performed using genome-wide single marker regression analysis (SMA) and composite interval mapping
(CIM). The results of SMA revealed that about 20% of the phenotypic variation of harvest index and TGW could be explained
by Xcfd22-7B and Xcfa2114-6A markers in different environmental conditions. Similarly, Xgwm181-3B, Xwmc405-7B and Xgwm148-3B and marker Xwmc166-7B were found to be associated with SHI and GWS, respectively. A total of 20 minor and major QTL were detected; five for
TGW, two for GWS, two for GNS, three for SN, five for HI, two for SHI and one for SW. The mapped QTL associated with ten markers.
Moreover, some of these QTL were prominent and stable under drought stress and non drought stress environments and explained
up to 49.5% of the phenotypic variation. |
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