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GENETIC DIVERGENCE AMONG MICROMUTANTS IN FINGER MILLET (Eleusina coracana)

DOI: 10.5958/0976-058X.2014.00666.0    | Article Id: A-3761 | Page : 313-318
Citation :- GENETIC DIVERGENCE AMONG MICROMUTANTS IN FINGER MILLET (Eleusina coracana).Indian Journal of Agricultural Research.2014.(48):313-318
K.C. Muduli and T.R. Das* trdas.iari@gmail.com
Address : Department of Plant Breeding and Genetics, College of Agriculture Orissa University of Agriculture and Technology, Bhubaneswar-751 003, India

Abstract

The  nature  and  magnitude  of  genetic  divergence  was  estimated  in  44 mutant lines of fingermillet variety VR708, developed by single and combination treatments with gamma rays, EMS and NG using three multivariate analysis. The mutant lines were grouped into ten genetically diverse clusters by D2 and canonical analysis and eight clusters by similarity coefficient (dendrogram) grouping. The clustering pattern in these three methods was almost similar. A large proportion of mutant lines showed divergence from the parent variety and also among themselves. No definite relationship of mutagenic origin and clustering of mutant lines were observed. The mutant lines developed from the same mutagenic treatments often grouped into different clusters indicating that each mutagenic treatment was effective in inducing diverse types of changes in the nine traits studied. Traits like days to 50% flowering, maturity duration and plant height were the major contributors to genetic divergence. The hybridization of two divergent mutant lines VE 3-3 and VE 2-4 would be expected to produce promising transgressive segregants for yield in subsequent generations.

Keywords

Eleusina coracana Genetic divergence Micromutants Multivariate analysis
Similarity coefficient.

References

  1. Asrat, A., Yadav O. P., Tomer Y. S. and Asfaw A. (2001). Genetic divergence in black gram. HAU Journal of Research, 31 : 13-17.
  2. Giri, A. K. (2002). Mutational improvement of ragi: Genetic variability among some mutant lines. M. Sc. (Ag.) thesis (Unpublished), OUAT, Bhubaneswar, India.
  3. Maluszynski, M., Sigurbjornsson, B., Amono, E., Sitch, L. and Kamara, O. (1991). Mutation varieties-data Bank, FAO/ IAEA Data Base. Mut. Br. Newsletter, 38:16-49.
  4. Micke, A. (1976). Introduction. Induced mutations in cross breeding. Proc. Adv. Group. IAEA, Vienna ; pp. 1-4.
  5. Mishra, M., Mahapatra, K. C. and Mohanty, C. R. (2001). Classificatory analysis of genetic diversity in dahlia. Indian J. Genet., 61 : 187-189.
  6. Misra, R. C. 1995. Multivariate analysis of genetic divergence in micromutants developed from blackgram variety T9. Environment & Ecology, 13 : 508-512.
  7. Mohapatra, B. K., Misra, R. C. and Baisakh, B. (1987). Genetic divergence among mutant lines of greengram. J. Orissa Bot. Soci., 9 : 11-16.
  8. Muduli, K.C. and Misra, R.C. (2008). Induced polygenic variability in M2 generation and its relationship with production of high-yielding mutants in finger millet. Indian J. Genet., 68 : 419-425.
  9. Murty, B. R. and Arunachalam, V. (1966). The nature of genetic divergence in relation to breeding system in some crop plants. Indian J. Genet., 26 : 188-198.
  10. Parida, D. (1997). Mutational improvement of ragi: Comparative spectrum and frequency of induced genetic variability. Ph. D. thesis, OUAT, Bhubaneswar, India.
  11. Prakash, V. and Joshi, P. (2003). Genetic analysis of yield and its components in different environments in wheat (Triticum aestivum L.). Indian J. Genet., 63 : 341-345.
  12. Rao, C. R. (1952). Advanced Statistical Methods in Biometrical Research. John Wiley and Sons. Inc. New York.
  13. Sneath, P. H. A. and Sokal, R. R. (1973). Numerical Taxonomy. The Principles and Practice of Numerical Classification. W. H. Freeman and Company, San Francisco, New York.
  14. Yadav, R., Grewal, P. S. and Pahuja, S. K. (2004). Multivariate analysis in forage sorghum (Sorghum bicolor L.). Indian J. Genet., 64 : 39-45.

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