Legume Research

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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.
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.
  1. Anil Kumar, V.R. and Sharma, R.R. (2006). Path coefficient analysis for pod yield and its attributes in garden pea (Pisum sativum L. Sub sp. hortense Asch. Garebn). Annals of Agricultural Research News Series, 27(1): 32-36.
  2. Bicer, T.B. and Sarkar, D. (2008). Heritability and path analysis of some economical characters in lentil. Journal o Central European Agriculture, 9(1): 191-196.
  3. Chauhan, M.P., Mishra, A.C. and Singh, A.K. (2008). Genetic divergence studies in urdbean (Vigna mungo L.). Legume Research, 31(1): 63-67.
  4. Dewey, D.R. and Lu, K. H. (1959). A correlation and path coefficient of components of crested wheat grain production. Agronomy Journal, 51(9): 515-518. 
  5. Guler M, Adak MS, Ulukan H (2001). Determining Relationships Among yield and yield components using path coefficient analysis in chikpea (Cicer arietinum L.). European Journal of Agronomy, 14: 161-166.
  6. Habtamu, S. and Million, F. (2013). Multivariate analysis of some Ethiopian fieldpea ( Pisum sativum L.) genotypes. International Journal of Genetics and Biology, 5(6): 78-87. 
  7. Jeberson, M.S., Shashidhar, K.S. and K. Iyanar. (2015). Genetic Variability, Heritability, Expected Genetic Advance and Correlation Studies of Some Economical Characteristics in Lentil. Trends in Biosciences, 8(5): 1344-1347.
  8. Jeberson, M.S., Shashidhar, K.S. and Iyanar, K. 2016. Estimation of genetic variability, expected genetic advance, correlation and path analysis in field pea (Pisum sativum L.). Electronic Journal of Plant Breeding, 7(4): 1074-1078.
  9. Jeberson, M.S., Shashidhar, K.S. and Singh, K.N. (2017). Agro-Morphological diversity analysis within the tall Indian fieldpea genotypes. National Seminar on Emerging crops of North East India suitable for horticulture based integrated farming system at CoA, CAU, Imphal from Feb.7-9, 2017, Pp,307.
  10. Katiyar, M. and Kumar, S. (2015). Multivariate analysis for genetic divergence in mungbean [Vigna radiata (L). Wilczek]. International Journal of Scientific Research, 4(6): 462-464.
  11. Kumar, S., Singh, P., Kumar, R. and Singh, R. (2014). Evaluation of genetic divergence and heritability in urdbean [Vigna mungo (L) Hepper]. Legume Research, 37(5): 473-478.
  12. Pushpa Rani, Y., Rao, Y.K., Satish, Y. and Babu, J.S. (2013). Estimates of genetic parameters and path analysis in black gram [Vigna mungo (L.) Hepper]. International Journal of Plant, Animal and Environmental Sciences, 3(4): 231- 234.
  13. Rao, S.K. and Yadav, S.P. (1988). Genetic analysis of biological yield, harvest index and seed yield in lentil. Lens News Letter, 15(1): 3-5.
  14. Singh, A.K., Mishra, A. and Shukla, A. (2010). Genetic evaluation and identification of genetic donors in black gram (Vigna mungo L.) revealed by agro morphological traits and seed storage protein analysis. World Applied Sciences Journal, 10(4): 477-488.
  15. Singh, J.D. and Singh, I.P. (2005). Studies on correlation and path analysis in field pea (Pisum sativum L.). National Journal of Plant Improvement, 7(1): 59-60.
  16. Tiwari, G. and Lavanya, G.P. (2012). Genetic variability, character association and component analysis in F4 generation of fieldpea (Pisum sativum var. arvense L.). Karnataka Journal Agricultural Sciences, 25(2): 173-175.
  17. Zaid, I., K. Ullah, I. Hussain and K. Sajid. 2012. Genetic variability and correlation analysis for yield components in mungbean [Vigna radiata (L). Wilczek]. J. Agri. Biol. Sci. 7: 885-889. 

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