EVALUATION OF PHENOTYPIC VARIABILITY IN SESBANIA USING MULTIVARIATE ANALYSES
O.P.YADAV AND SAWINDER SINGH
Deptt. of Genetics &. Plant Breeding,
CCS Haryana Agricultural University, Hisar-125 004, India.
(Received: 14 March 2014; 19 May 2014)
Principal factor analysis was done in Sesbania(using 57 genotypes and 17 variables) which identified five principal factors explaining 70.97% variability altogether. The principal factor analysis without rotation failed to provide clear picture, hence varimax rotation was applied which resulted into clear cut loading of almost similar type of variables on a common principal factor permitting to designate them as grain yield factor, green manuring factor, growth rate factor, etc., according to the type of variables it is loaded with. Genotypes LJ 32, Ses H 3, LJ 37, Ses H 22 and Ses H 33 were found to be better performers with regard to grain yield and its components when all the principal factors were considered simultaneously. These genotypes can further be utilized in breeding programmes for improving grain yield. Further, hierarchical cluster analysis (UPGMA with city block distances) was carried out to classify these 57 Sesbania genotypes on the basis of seventeen grain yield and green manuring related variables which resulted into formation of seven clusters having one to fourteen genotypes. The results of hierarchical cluster analysis and principal factor analysis confirmed the findings of each other.
Key words: Cluster analysis, Sesbania, germplasm and principal factor analysis.