Legume Research

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Legume Research, volume 45 issue 7 (july 2022) : 834-838

Diversity Analysis in Horse Gram [Macrotyloma uniflorum (Lam.) Verdc.] Mutants

V. Pushpayazhini, R. Sudhagar, C. Vanniarajan, S. Juliet Hepziba, J. Souframanien
1Sugarcane Research Station, Tamil Nadu Agricultural University, Melalathur, Vellore-635 806, Tamil Nadu, India.
  • Submitted12-07-2021|

  • Accepted16-09-2021|

  • First Online 11-10-2021|

  • doi 10.18805/LR-4726

Cite article:- Pushpayazhini V., Sudhagar R., Vanniarajan C., Hepziba Juliet S., Souframanien J. (2022). Diversity Analysis in Horse Gram [Macrotyloma uniflorum (Lam.) Verdc.] Mutants. Legume Research. 45(7): 834-838. doi: 10.18805/LR-4726.

Background: Horse gram is the potential rainfed legume in Indian farming. The major limitation in horse gram breeding is the narrow variability. Variability induction and its estimation would sustain food security. 
Methods: Variability was induced using gamma rays, electron beam and ethyl methanesulfonate and their combinations. The induced variation for the economic traits, their inheritance and genetic gain were ascertained. 
Result: The analysis of variance indicated the induction of significant variation for yield attributing traits. The population was grouped into 10 constellations by the virtue of induced variation. The groups I, II and V were the largest comprising of 38, 31 and 19 mutants respectively. The mutants exhibited significant intra and inter group variation. The mutagens induced the maximum variability for plant height (32.24%), 100 seed weight (25.42%) and number of pods per plant (19.18%). The mutants possessed high genotypic and phenotypic coefficients of variation for all the characters except flowering traits and duration. The induced variability for the yield attributing traits possessed significant breeding value as the heritability (86.66%-99.72%) and genetic advance as percent of mean (10.65-81.94) were high and the environmental influence was the minimum.

  1. Alle, R., Hemalatha, V., Eswari, K.B. and Swarnalatha, V. (2015). Genetic variability, correlation and path analysis for yield and its components in horsegram [Macrotyloma uniflorum (Lam.) Verdc.]. Green Farming 7: 1-4.

  2. Bhandari, H.R., Bhanu, A.N., Srivastava K, Singh M.N., Shreya and Hemantaranjan, A. (2017). Assessment of genetic diversity in crop plants- An overview. Advances in Plants and Agricultural Research. 7: 279-286. 

  3. Burton, G.W. (1952). Quantitative Inheritance in Grasses. Proceedings of 6th International Grassland Congress 1: 277-283. 

  4. Chahota, R.K., Sharma, T.R., Sharma, S.K., Kumar, N. and Rana, J.C. (2013). Genetic and Genomic Resources of Grain Legume Improvement: 12. Horsegram. Elsevier Insights. 293-305.

  5. Durga Kanaka, K. (2012). Variability and divergence in horsegram (Dolichos uniflorus). Journal of Arid Land. 4(1): 71-76. 

  6. Dutta, U., Gupta, S., Jamwal, A. and Jamwal, S. (2020). Diseases of Field Crops: Diagnosis and Management. 1st Edn. Apple Academic Press. pp. 91-104.

  7. Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environment variability in soybean. Agronomy Journal. 47: 314-318.

  8. Joshi, S.N., Bhave, S.G., Bendale, V.W., Jadhav, B.B. and Sawant, S.S. (2007). Analysis of genetic variability and correlation in horsegram [Macrotyloma uniflorum (Lam) Verdc.].  Research on Crops. 8(3): 632-635.

  9. Kumar, D. (2006). Horsegram: An Introduction. Scientific Publishers, Jodhpur, India. pp: 1-10.

  10. Lush, J.L. (1949). Intra - Size Correlation on Regression of Off Spring on Dams as a Method of Estimating Heritability of Character. Proceedings of American Society of Animal Production. 33: 293-301.

  11. Mahalanobis, P.C. (1936). On the Generalized Distance in Statistics. Proceedings of National Institute of Sciences (India) 2: 49-55.

  12. Priyanka, S., Sudhagar, R., Vanniarajan, C. and Ganesamurthy, K. (2019). Investigation on genetic variability parameters and association of traits in horsegram [Macrotyloma uniflorum (Lam.) Verdc.]. International Journal of Current Microbiology and Applied Sciences. 8(2): 656-664.

  13. Priyanka, S., Sudhagar, R., Vanniarajan, C., Ganesamurthy, K. and Souframanien, J. (2021a). Induction of genetic variability for quantitative traits in horsegram (Macrotyloma uniflorum) through irradiation mutagenesis. Journal of Environmental Biology. 42: 597-608.

  14. Priyanka, S., Sudhagar, R., Vanniarajan, C. and Ganesamurthy, K. (2021b). Assessment of genetic divergence in horsegram [Macrotyloma uniflorum (Lam.) Verdc.] using quantitative traits. Legume Research. 44: 261-267

  15. Puneet, D. (2004). Genetic divergence for yield and quality attributes in horsegram [Macrotyloma uniflorum (Lam.) Verdc.]. (Master’s Thesis). Department of Plant Breeding and Genetics, CSK Himachal Pradesh Krishi Vishvavidyalaya. 

  16. Purushottam, Kumar, R., Barman, R. and Saren, B.K. (2017). Improvement of neglected horse gram production for benefit of mankind. International Journal of Bio-resource, Environment and Agricultural Sciences. 3(2): 521-527.

  17. Rao, C.R. (1952). Advanced Statistical Methods in Biometric Research. New York: John Wiley and Sons. American Journal of Physical Anthropology. 12: 268-270.

  18. SivaSubramanian, P. and Menon, P.M. (1973). Genotypic and phenotypic variability in rice. Madras Agricultural Journal. 60: 1093-1096.

  19. Varma, V., Sandeep, K., Durga, K. and Ankaiah, R. (2013). Research Note Assessment of genetic diversity in horsegram (Dolichos uniflorus). Electronic Journal of Plant Breeding. 4(2): 1175-1179.

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