Legume Research

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Research Article

Legume Research, volume 42 issue 4 (august 2019) : 454-460

Genetic variability, principal component and cluster analyses in black gram under Foot-hills conditions of Manipur

M. Samuel Jeberson, K.S. Shashidhar, Amit Kumar Singh
1Directorate of Research, Central Agricultural University, Imphal-795 004, Manipur, India.

  • Submitted01-04-2017|

  • Accepted03-01-2018|

  • First Online 04-04-2018|

  • doi 10.18805/LR-3875

Cite article:- Jeberson Samuel M., Shashidhar K.S., Singh Kumar Amit (2018). Genetic variability, principal component and cluster analyses in black gram under Foot-hills conditions of Manipur. Legume Research. 42(4): 454-460. doi: 10.18805/LR-3875.

ABSTRACT

Analysis of genetic variability, heritability, correlation, path analysis, principal component and cluster analysis was carried for 25 blackgram genotypes grown in the foothills of Manipur. The results showed that phenotypic coefficients of variability recorded were higher than the genotypic coefficients of variability, irrespective of traits, demonstrating the effect of environment thereon. The present study revealed that the heritability (bs) estimates were maximum (>50%) for the traits such as days taken to attain the 50% flowering, number of clusters/plant, number of pods/plant and 100 seed weight. The correlation and path analysis proved the selection of the yield attributes in blackgram based on the characters, viz., number of pods/plant and number of cluster/plants. The first three principal components, having the Eigen values more than 1, contributed 84.52% towards variability among the 25 genotypes screened for quantitative traits. Based on the average linkage, 25 genotypes were grouped into  five (5) clusters.

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