Authors: Amin Azadi Mohsen Mardi Eslam Majidi Hervan Seyed Abolghasem Mohammadi Foad Moradi Mohammad Taghi Tabatabaee Seyed Mostafa Pirseyedi Mohsen Ebrahimi Farzad Fayaz Mehrbano Kazemi Sadegh Ashkani Babak Nakhoda Ghasem MohammadiNejad
Publish Date: 2014/05/15
Volume: 33, Issue: 1, Pages: 102-120
Abstract
A population of 186 recombinant inbred lines of bread wheat Superhead2/Roshan was evaluated to identify quantitative trait loci QTL for yield and yield components under normal 2 ds m–1 and saltstress 10–12 ds m–1 conditions A genetic map was constructed with 451 markers including 23 simple sequences repeats SSRs and 428 diversity arrays technology markers DArTs The maineffect QTL were identified by composite interval mapping CIM analysis using QTL Cartographer v25 and Qgene v432 and a mixedmodelbased composite interval mapping MCIM method using QTLNetwork v21 A total of 98 significant QTL were detected at two testing locations on 20 chromosomes Of these only 40 QTL were detected by at least two of these software programs A total of 24 QTL on ten chromosomes were identified for grain yield most of which had a minor effect contributing less than 10 of the total phenotypic variation Two grainyield QTL intervals were detected on 1A1 and 3B which contributed 1102 and 103 to the total phenotypic variation respectively Roshan alleles were associated with an increase in grain yield under stress conditions on 1A1 2B3 3B 6B1 1D 2D1 Among the 20 chromosomes chromosome 3B with 27 QTL and two distinctive cluster regions was the most important SSR markers gwm282 gwm247 gwm566 and gwm33 were tightly linked to QTL for the same or different traits under normal stress or both conditions and accounted for about 17 43 43 and 20 of the total phenotypic variation respectively These markers are suitable for markerassisted selection to improve grain yield under normal and saltstress conditions
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