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An experiment was conducted in fifty seven genotypes of pigeonpea for the Principal Component Analysis at Department of Pulses, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore during kharif, 2015. Twelve quantitative characters were taken under observation to estimate substantial variation and relationship among pigeonpea genotypes to identify the best performing lines. Analysis of variation for such quantitative traits in diverse line showed considerable and dissimilar level of variability. The largest variation was found for number of pods per plant, plant height, days to maturity, days to 50 per cent flowering and pod bearing length. Single plant yield was highly significant and positively correlated with number of pods per plant, number of secondary branches, number of raceme, days to 50 per flowering, days to maturity, pod bearing length, number of seeds per pod and pod size however hundred seed weight was non significantly correlated with single plant yield. Principal component analysis showed the amount of variation by the principal components assigned from component1 to component4. Clustering analysis based on various morphological traits assorted 57 pigeonpea genotypes into three main groups and seven subclusters. Dendrogram based on hierarchal clustering grouped genotypes based on their morphological traits rather than geographic origin. Grouping of genotypes based on morphological traits is not always associated with their geographical origin. The diverse genotypes will be used for future breeding programme.

Principal component analysis in pigeonpea (Cajanus cajan (L.) millsp.)