PJB-2008-259
MULTIVARIATE ANALYSES FOR QUANTITATIVE TRAITS TO DETERMINE GENETIC DIVERSITY OF BLACKGRAM [VIGNA MUNGO (L.) HEPPER] GERMPLASM
ABDUL GHAFOOR AND MUHAMMAD ARSHAD
Abstract
Thirty-seven pure-lines selected at random from a broad based germplasm were studied for quantitative traits to investigate the impact of selection on diversity in relationship to agronomic performance. Multivariate approach proved its validity to classify blackgram genotypes on the basis of agronomic performance and geographic origin. Five yield contributing traits (branches per plant, pods per plant, biomass per plant, grain yield per plant, harvest index) were important for first PC three years, hence populations in this component were categorized as high yielding with maximum number of reproductive organs. Cluster analysis grouped high yielding genotypes that indicated the importance of selection from a large set of germplasm. The breeding program is suggested to broaden involving diverse parents from various clusters.
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