PJB-2007-14
MULTIVARIATE ANALYSIS FOR QUANTITATIVE TRAITS IN MUNGBEAN [VIGNA RADIATA (L.) WILCZEK]
MUHAMMAD ZUBAIR, SAIF ULLAH AJMAL*, MUHAMMAD ANWAR AND A.M. HAQQANI
Abstract
Forty diverse mungbean [Vigna radiata (L.) Wilczek] genotypes were evaluated for 14 quantitative traits at National Agricultural Research Centre, Islamabad, Pakistan during 1999-2000 under rainfed conditions. All the traits were analyzed using multivariate analysis technique (cluster and principal component analyses). The first four PCs with eigenvalues >1 contributed 85.49% of the variability amongst genotypes. Populations with high PC1 values were high yielding and early in maturity. The populations with high PC2 were late in flowering and maturity, and contributed more towards vegetative growth rather than reproductive. The genotypes were categorized in four clusters based on average linkage. Clusters I, II and IV were more clearly separated from cluster III. Cluster analysis revealed that genotypes under investigation displayed a wide range of variation for most of the traits that could be exploited in breeding programme to enrich the mungbean genetic treasure.
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