| Pak. J. Bot., 39(1): 103-113, 2007. | Back to Contents | ||||
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Updated: 09-07-09 | ||||
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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.
National Agricultural Research Centre, Islamabad, Pakistan. |
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