African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6576

Full Length Research Paper

Genetic diversity in soybean genotypes under water stress and normal condition using factor analysis and cluster analysis

Sarkaut Salimi
Islamic Azad University, Mariwan Branch, Mariwan, Iran.
Email: [email protected]

  •  Accepted: 04 December 2013
  •  Published: 19 December 2013

Abstract

To study the relationships between morphological characters of soybean plant an experiment was conducted in randomized complete blocks design (RCBD) in two replications under drought stress condition at Agricultural College of Guilan University in 2008. Result of analysis of variance showed that there was significant difference among the studied soybean genotypes in the majority of traits. The result of factor analysis in under water stress condition showed that 7 independent factors for characters to explain 86.4% variation of all data and under normal condition 5 independent factors for characters to explain 82% variation of all data. A similarity factor was constructed using UPGMA method for morphological characters varieties were classified into 8 groups for water stress condition and 4 groups for normal condition. Classifying the results of the cluster analysis identified Hamilton genotype suitable for sown in water stress condition and majority genotypes suitable for sown in normal condition.

 

Key words: Cluster analysis, factor analysis, genetic diversity, normal condition, soybean, water stress.