Vol. 17 No. 3
Character association and principal component analysis for yield and its attributing characters in greengram
Author(s): G. NAYAK, D. LENKA, M. DASH AND S.K. TRIPATHY
Abstract: In the present investigation, 66 greengram genotypes were subjected to study the character association and principal component analysis for yield and its attributing characters. Seed yield plant-1 had highly significant positive correlation with hundred seed weight, number of seeds plant-1, pod length, number of pods plant-1, number of clusters plant-1 and plant height, whereas characters like plant height,number of pods plant-1, pod length, number of seeds pod-1 and hundred seed weight had direct positive effect on seed yield. Principal component analysis revealed that the first five principal components accounted for 80.54 % of the total variance for all the traits, with values 24.66%, 20.83%, 13.47%, 12.56%, and 9.02% for PC-1, PC-2, PC-3, PC- 4 and PC-5 respectively. In the scatter plot, the genotypes HUM-10, PDM-139 and ML-613 were found to be far off from other genotypes, indicating that they may be distinct from other genotypes and hence a good candidate for hybridization.
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