Grouping of spring wheat recombinant inbred lines in term of some agronomic traits

Subject Areas :

hamze hamze ¹ , Ali Asghari ² , Seyed Abulghasem mohammadi ³ , Omid Sofalian ⁴ , Soleiman Mohammadi ⁵

1 - PNU Mahabad
2 - Professor, University of Mohaghegh Ardabil
3 - Prof, Dept of Plant Breeding and Biotechnology, Faculty of Agriculture, Univeristy of Tabriz, Iran
4 - Omid Sofalian, Associate Professor, University of Mohaghegh Ardabil. Address: Ardabil - Ardabil University College of Agriculture researcher
5 - Seed and plant improvment reserch Department, West Azarbaijan Agricultural and Natural Resources Research Center, AREEO

Received: 2017-04-03 Accepted : 2017-08-17 Published : 2017-05-22

Keywords: factor analysis, Cluster analysis, inbred lines,

Abstract :

In order to Grouping of spring wheat recombinant inbred lines in term of some agronomic traits, an experiment was conducted by using a 148 recombinant inbred lines resulted of cross between two parent, Yecora Rojo & No. 49 at two places of Mahabad and Mian'doab in alpha lattice design with two replications on normal and water deficit condition during two cropping season (2013-15). According to the combined analysis of variance, significant differences existed between the two moisture conditions for all traits and drought reduced the amount of 35.11% of grain yield in genotypes. The genotypes had significant difference for all traits and genotypes× environment interaction was significant only on biomass, so it became possible to compare lines in the average environmental conditions. In factor analysis based on principle component analysis, four factors were recognized that explained 75.04 percent of total variation of data. According to the dendrogram of cluster analysis, genotypes were divided into 4 groups that the first group, devoted the highest grain yield and yield component. Finally genotypes 7, 15, 17, 21, 27, 30, 34, 36, 37, 40, 56, 58, 59, 60, 62, 66, 67, 69, 76, 81, 89, 90, 91, 97 , 99, 109, 117, 118, 121, 125, 136 and No. 49 due to high yield and exposure to high-yield and its components cluster were identified a suitable genotypes.