Legume Research

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Research Article

Legume Research, volume 42 issue 1 (february 2019) : 50-54

Genetic studies in mungbean [Vigna radiata (L.) Wilczek]

P. Khajudparn, O. Poolsawat, P.A. Tantasawat

  • Submitted19-10-2017|

  • Accepted14-09-2018|

  • First Online 07-12-2018|

  • doi 10.18805/LR-392

Cite article:- Khajudparn P., Poolsawat O., Tantasawat P.A. (2018). Genetic studies in mungbean [Vigna radiata (L.) Wilczek]. Legume Research. 42(1): 50-54. doi: 10.18805/LR-392.

ABSTRACT

To study the genetics of seven agronomic and physiological characters (total dry matter (TDM), number of pods per plant, seed weight per plant, 100-seed weight, number of seeds per pod, pod length and root length density) which were correlated with yield, eight crosses of mungbean were made, and the agronomic and physiological characters were evaluated in the six basic generations (P1, P2, F1, F2, BC1 and BC2) of each cross. It was found that most characters including TDM, number of pods per plant, seed weight per plant and root length density showed additive, dominance and epistatic gene effects, except for 100-seed weight, number of seeds per pod and pod length. One hundred-seed weight and number of seeds per pod possessed only additive gene effects, while pod length was controlled by both additive and dominance gene effects. The duplicate epistasis revealed the presence of a large number of non-additive gene actions controlling TDM, number of pods per plant, seed weight per plant and root length density that may hinder the improvement of these characters, and confirmed that selection of these characters in later generations would be more feasible. 

REFERENCES

  1. Ajibade, S.R., Weeden, N.F. and Chite, S.M. (2000). Inter simple sequence repeat analysis of genetic relationships in the genus Vigna. Euphytica, 111: 47-55. 
  2. Alam, A.M., Somta, P. and Srinives, P. (2014). Generation mean and path analyses of reaction to mungbean yellow mosaic virus (MYMV) and yield-related traits in mungbean [Vigna radiata (L.) Wilczek]. SABRAO Journal of Breeding and Genetics, 46: 150-159.
  3. Cavalli, L.L. (1952). An analysis of linkages in quantitative inheritance. In: Quantitative inheritance. [Reevee, E.C.R. and Waddington, C.H. (eds.)]. HMSO, London. pp. 135-144.
  4. Gamble, E.E. (1962). Gene effects in corn I: Separation and relative importance of gene effects for yield. Canadian Journal of Plant Science, 15: 77-78. 
  5. Gupta, R.P., Patel, S.R., Modha, K.G. and Wadekar, P.B. (2017). Generation mean analysis for yield and yield components in cowpea [Vigna unguiculata (L.) Walp.]. International Journal of Current Microbiology and Applied Sciences, 6: 2231-2240. 
  6. Hayman, B.I. (1958). The separation of epistatic from additive and dominance variation in generation means. Heredity, 12: 371-390. 
  7. Kearsey, M.J. and Pooni, H.S. (1996). The Genetical Analysis of Quantitative Traits. Chapman and Hall, London.
  8. Khajudparn, P., Boonjung, H., Laosuwan, P. and Tantasawat, P. (2012). Association between root length density and seed yield in mungbean (Vigna radiata (L.) Wilczek). Environmental Research Journal, 6: 277-286. 
  9. Levesque, R. and SPSS Inc. (2006). SPSS programming and data management (3rd Edn.). SPSS Institute, Somers, New York.
  10. Mather, K. (1949). Biometrical Genetics. Dover Publication Inc., New York.
  11. Mather, K. and Jinks, J.L. (1982). Biometrical Genetics. Chapman, London.
  12. Mistry, C., Kathiria, K.B., Sabolu, S. and Kumar, S. (2016). Heritability and gene effects for yield related quantitative traits in eggplant. Annals of Agricultural Science, 61: 237-246.
  13. Narasimhulu, R., Naidu, N.V. and Reddy, K.H.P. (2016). Genetic analysis for yield and yield attributes in greengram [Vigna radiata (L.) Wilczek]. Legume Research, 41:349-355.DOI: 10.18805/LR-3768.
  14. Singh, A., Singh, Y.V., Sharma, A., Visen, A., Singh, M.K. and Singh, S. (2016a). Genetic analysis of quantitative traits in cowpea [Vigna unguiculata (L.) Walp.] using six parameter genetic model. Legume Research, 39: 502-509.
  15. Singh, C.M., Singh, A.K., Mishra, S.B., Pandey, A. (2016b). Generation mean analysis to estimate the genetic parameters for yield improvement and inheritance of seed colour and lusture in mungbean [Vigna radiata (L.) Wilczek]. Legume Research, 39: 494-501.
  16. Srinivas, B. and Bhadru, D. (2015). Estimation of genetic parameters through generation mean analysis for fiber quality traits in upland cotton. SABRAO Journal of Breeding and Genetics, 47: 238-247. 
  17. Sunil Kumar, B. and Prakash, M. (2010). Generation mean analysis of seed protein architect in mungbean [Vigna radiata (L.) Wilczek]. International Journal of Current Research, 3: 017-019. 
  18. Tantasawat, P., Trongchuen, J., Prajongjai, T., Thongpae, T., Petkhum, C., Seehalak, W. and Machikowa, T. (2010). Variety identification and genetic relationships of mungbean and blackgram in Thailand based on morphological characters and ISSR analysis. African Journal of Biotechnology, 9: 4452-4464. 
  19. Yu, S.C., Lin, P.C. and Lin, J. (2011). Effects of extrusion processing condition on the physico-chemical properties of mungbean extrudates. Proceedings of the 12th Asian Food Conference, 524-526. 
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