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Study on genetic variation of 14 soybean cultivars using cluster and factor analysis under water stress and non-stress conditions

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Research Paper 01/03/2015
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Study on genetic variation of 14 soybean cultivars using cluster and factor analysis under water stress and non-stress conditions

Seyyed Mohammad Ali Kargar, Ali Mostafaie, Eslam Majidi Hervan, Seyyed Said Pourdad
J. Bio. Env. Sci.6( 3), 100-112, March 2015.
Certificate: JBES 2015 [Generate Certificate]
Key: Cluster analysisFactor analysisSoybeanWater stress

Abstract

This experiment was conducted in Mahidasht Agricultural Research Station in the west part of Iran in RCBD with three replications under normal and drought stress conditions. The cluster analysis based on ward method showed the cultivars were grouped by four clusters under non-stress condition. The cultivars of clusters were including; (I: Baj-maj); (II: M9, Hy-1 and LD9); (III: The fertile cultivars as L17, Union, Bonus, Williams, Steel, Elgine, Clark) and (IV: The infertile cultivars as Hack, Flanklin and Halcor) respectively; While they were grouped by three clusters under stress condition. These cultivars of clusters were including (I: The infertile cultivars as Baj-maj, Steel, Williams, Bonus, Hack, Halcor and Flanklin); (II: The cultivars as Hy-1, Elgine and M9); (III: The fertile cultivars as Clark, LD9, L17, Clark and Union); respectively. The evaluation of discriminate function on 14 soybean cultivars under non-stress condition showed 3 functions with eigenvalues more than 1 explained totally 100% of cultivar variations. The evaluation of discriminate function on 14 soybean cultivars under stress condition showed 2 functions with eigenvalues more than 1 explained totally 100% of cultivar variations. In factor analysis on 9 traits under non-stress condition, there were three components with 73.86% of traits variation with varimax rotation method. The contribution of first, second and third components were 38.08%, 20.56% and 15.21%, respectively. On the other hand three components explained 74.79% of traits variation with varimax rotation method under stress condition. The contribution of first, second and third components were 32.57%, 27.20 and 15.02 respectively. The cluster analysis based on wards method showed four clusters of traits in both stress and non-stress conditions.

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