گروه‌بندی لاین‌های اینبرد نوترکیب گندم از نظر صفات زراعی به کمک تجزیه خوشه‌ای

In spite of efforts have been carried out in this area, the mean of wheat yield in Iran is less than its world average. To identify high yielding wheat lines with optimal characteristics and determination of traits to use as selection index, 40 recombinant inbred lines derived from a cross between Norstar (winter wheat) and Zagros (spring wheat) cultivars were evaluated in a randomized complete block design with three replication. The measured characters consisted of peduncle weight, second internode weight, spike weight, kernels per spikes, biomass, grain yield, 1000 kernel weight, plant height, peduncle length, second internode length, spike length, harvest index, flog leaf area and straw yield.. Cluster analysis was performed based on all the traits as well as using grain yield and its related traits which identified based on stepwise regression analysis. The analyses were carried out using WARD algorithm and standardized data. Cluster analysis based on all traits and yield related traits assigned the lines into four and three groups, respectively. In these grouping, group one and three lines showed highest mean of grain yield and its related traits, respectively.