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Research Article

volume 41 issue 4 (august 2018) : 532-536,   Doi: 10.18805/LR-3874

Study on genetic variability, heritability and genetic advance in Soybean[Glycine max (L.) Merrill]

R
Ravindra Kumar Jain
A
Arunabh Joshi
H
Hem Raj Chaudhary
A
Abhay Dashora
C
Champa Lal Khatik
1Department of Molecular Biology and Biotechnology, Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology, Udaipur-313 001, Rajasthan, India

  • Submitted30-03-2017|

  • Accepted09-08-2017|

  • First Online 29-12-2017|

  • doi 10.18805/LR-3874

Cite article:- Jain Kumar Ravindra, Joshi Arunabh, Chaudhary Raj Hem, Dashora Abhay, Khatik Lal Champa (2017). Study on genetic variability, heritability and genetic advance in Soybean[Glycine max (L.) Merrill]. Legume Research. 41(4): 532-536. doi: 10.18805/LR-3874.

ABSTRACT

Soybean, an important legume crop, serves as a good source of protein and oil with tremendous ability to fix atmospheric nitrogen for soil improvement. To study the genetic variability, genotypic, phenotypic and environmental coefficient of variation, broad sense heritability and genetic advance in soybean, a field experiment was conducted during Kharif  2013. The experiment, laid out in a randomized block design (RBD) with three replications, comprised of 24 genotypes and observations on 9 traits of soybean were recorded. In this experiment, analysis of variance indicated that significant variation were present among the different genotypes of the soybean for all the traits under study. The highest genotypic (GCV) and phonotypic coefficient of variation (PCV) were exhibited by the test weight, number of pods per plant, harvest index and plant height. The PCV was found higher than GCV which indicates the important role of environment in the expression of the characters. High heritability and high genetic advance were observed in the test weight, number of pods per plant, harvest index and plant height. The combination of the high heritability and high genetic advance provide the clear image of the trait in the selection process for crop improvement programme.

REFERENCES

  1. Aditya, J. P., Pushpendra, B. P. and Anuradha, B. (2011). Genetic variability, heritability and character association for yield and component characters in soybean [G. max (L.) Merrill]. Journal of Central European Agriculture, 12(1): 27-34.
  2. Agong, S. G., Schittenhelm, S. and Fried, W. (2001). Genotypic variation of Kenyan tomato (Lycopersicon esculentum Mill.) germplasms. Journal of Food Technology in Africa, 6(1): 13-17.
  3. Ajayi, A. T., Adekola, M. O., Taiwo, B. H. and Azuh, V. O. (2014). Character Expression and Differences in Yield Potential of Ten Genotypes of Cowpea [Vigna unguiculata (L.) Walp]. International Journal of Plant Research, 4(3): 63-71. 
  4. Akhter, T., Ivy, N. A., Rasul, M. G. and Mian, M. A. K. (2010). Variability and character association of reproductive traits in exotic rice germplasms. Bangladesh Journal of Plant Breeding and Genetics, 23(1): 39-43
  5. Akram, S., Hussain, B. M. N., Al-Bari1, M. A., Burritt, D. J. and Hossain, M. A. (2016). Genetic Variability and Association Analysis of Soybean [Glycine max (L.) Merrill] for Yield and Yield Attributing Traits. Plant Gene and Trait, 7(13): 1-11.
  6. Athoni, B. K. And Basavaraja, G. T. (2012). Association analysis, genetic variability and genetic diversity studies in soybean [ Glycine max (L.) Merrill]. Asian Journal of Bio Science, 7(2): 114-118.
  7. Baraskar, V. V., Kachhadia, V. H., VachhanI, J. H., Barad, H. R., Patel, M. B. and Darwankar, M. S. (2014). Genetic variability, heritability and genetic advance in soybean [Glycine max (L.) Merrill]. Electronic Journal of Plant Breeding, 5(4): 802-806.
  8. Chandrawat, K. S., Baig, K. S., Hashmi, S., Sarang, D. H., Kumar, A. and Dumai, P. K. (2017). Study on genetic variability, heritability and genetic advance in soybean. Int. J. Pure App. Biosci., 5 (1): 57-63.
  9. Falconer, D. S. (1989). Introduction to Quantitative Genetics (3rd ed.). Logman Scientific and Technical, Logman House, Burnt Mill, Harlow, Essex, England.
  10. Ghosh, J., Ghosh, P. D. and Choudhury, P. R. (2014). An assessment of genetic relatedness between soybeans [Glycine max (L.) Merrill] cultivars using SSR markers. American Journal of Plant Sciences, 05: 3089-3096.
  11. Gopalan, C., Ramashastry, B. V. and Balasubramanian, S. C. (1994). Nutritive Value of Indian Foods, Indian Council of Medical Research, pp. 24-26
  12. Harland, S. C. (1939). The genetics of cotton. Jonathan Cape, London (United Kingdom).
  13. He, F. J. and Chen, J. Q. (2013), Consumption of soybean, soy foods, soy isoflavones and breast cancer incidence: Differences between Chinese women and women in Western countries and possible mechanisms. Food Science and Human Wellness, 2: 35-38. 
  14. Jain, S., Srivastava, S. C., Singh, S. K., Indapurkar, Y. M. and Singh, B. K. (2015). Studies on genetic variability, character association and path analysis for yield and its contributing traits in soybean [Glycine max (L.) Merrill] Legume Research, 38(2): 182-184.
  15. Kumar, A., Pandey, A. and Pattanayak, A. (2015). Assessment of genotypic variation in soybean (Glycine max). Legume Research, 38(2): 174-177.
  16. Kumar, A. V., Kumar, S., Lal, K., Jolly, M. and Sachdev, A. (2014), Influence of gamma rays and ethylmethanesulphonate (EMS) on the levels of phytic acid, raffinose family oligosaccharides and antioxidants in soybean seeds of different genotypes, Journal of Plant Biochemistry and Biotechnology, 24: 204-209.
  17. Kwon, S. H. and Torrie, J. H. (1964). Heritability and interrelationship of two soybean (Glycine max L.) genotypes. Crop Science, 4: 196-198. 
  18. Malek, M. A., Raffi, M. Y., Afroj, M. S. S., Nath, U. K. and Mondol, M. M. A. (2014), Morphological characterization and assessment of genetic variability, character association, and divergence in soybean mutants, The Scientific World Journal, 1-12.
  19. Mishra, S., Pancheshwar, D. K., Singh, P. and Jha, A. (2015). Study of Genetic Variability in recently evolved genotypes of soybean [Glycine max (L.) Merill]. Trends in Biosciences, 8(19): 5390-5393.
  20. Panes, V. G. and Sukhatme, P. V. (1995). Statistical Methods for Agricultural Workers (3rd ed.,). ICAR, New Delhi.
  21. Panse, V. G., and Sukhatme, P. V. (1985). Statistical Methods for Agricultural Research Workers. Indian Council of Agricultural Research, New Delhi.
  22. Prasad, B., Bahuguna, A. and Shukla, D. K. (2012). Geno typic variation studies of perilla(Perilla prutescens L.) germplasm under north-west Himalayan agrisystem. Environment and Ecology, 30(4): 1235-1237.
  23. Rani, A., Kumar, V., Gill, B. S., Morya, V. and Rawal, R. (2016). Assessment of genetic diversity of soybean genotypes differing in resistance against yellow mosaic virus using simple sequence repeat markers. Legume Research, 39(5): 674-681.
  24. Raturi, A., Singh, S. K., Sharma, V. and Pathak, R. (2014). Genetic variability and interrelationship among qualitative and quantitative traits in mungbean. Legume Research, 37(1): 1 – 10.
  25. Reni, Y. P. and Rao, Y. K. (2013). Genetic Variability in Soybean [Glycine max (L) Merrill]. International Journal of Plant, Animal and Environmental Sciences, 3(4): 35-38.
  26. Sathya, R. and Jebaraj, S. (2013). Inter-Relationship and cause effect analysis among drought and physiological traits in three line aerobic rice hybrids, Plant Gene and Trait, 4: 70-73. 
  27. Semahegn, Y. and Tesfaye, M. (2016). Characters associations and path analysis in safflower (Carthamus tinctorious) accessions, Molecular Plant Breeding, 7(31): 1-5. 
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    Research Article

    volume 41 issue 4 (august 2018) : 532-536,   Doi: 10.18805/LR-3874

    Study on genetic variability, heritability and genetic advance in Soybean[Glycine max (L.) Merrill]

    R
    Ravindra Kumar Jain
    A
    Arunabh Joshi
    H
    Hem Raj Chaudhary
    A
    Abhay Dashora
    C
    Champa Lal Khatik
    1Department of Molecular Biology and Biotechnology, Rajasthan College of Agriculture, Maharana Pratap University of Agriculture and Technology, Udaipur-313 001, Rajasthan, India

    • Submitted30-03-2017|

    • Accepted09-08-2017|

    • First Online 29-12-2017|

    • doi 10.18805/LR-3874

    Cite article:- Jain Kumar Ravindra, Joshi Arunabh, Chaudhary Raj Hem, Dashora Abhay, Khatik Lal Champa (2017). Study on genetic variability, heritability and genetic advance in Soybean[Glycine max (L.) Merrill]. Legume Research. 41(4): 532-536. doi: 10.18805/LR-3874.

    ABSTRACT

    Soybean, an important legume crop, serves as a good source of protein and oil with tremendous ability to fix atmospheric nitrogen for soil improvement. To study the genetic variability, genotypic, phenotypic and environmental coefficient of variation, broad sense heritability and genetic advance in soybean, a field experiment was conducted during Kharif  2013. The experiment, laid out in a randomized block design (RBD) with three replications, comprised of 24 genotypes and observations on 9 traits of soybean were recorded. In this experiment, analysis of variance indicated that significant variation were present among the different genotypes of the soybean for all the traits under study. The highest genotypic (GCV) and phonotypic coefficient of variation (PCV) were exhibited by the test weight, number of pods per plant, harvest index and plant height. The PCV was found higher than GCV which indicates the important role of environment in the expression of the characters. High heritability and high genetic advance were observed in the test weight, number of pods per plant, harvest index and plant height. The combination of the high heritability and high genetic advance provide the clear image of the trait in the selection process for crop improvement programme.

    REFERENCES

    1. Aditya, J. P., Pushpendra, B. P. and Anuradha, B. (2011). Genetic variability, heritability and character association for yield and component characters in soybean [G. max (L.) Merrill]. Journal of Central European Agriculture, 12(1): 27-34.
    2. Agong, S. G., Schittenhelm, S. and Fried, W. (2001). Genotypic variation of Kenyan tomato (Lycopersicon esculentum Mill.) germplasms. Journal of Food Technology in Africa, 6(1): 13-17.
    3. Ajayi, A. T., Adekola, M. O., Taiwo, B. H. and Azuh, V. O. (2014). Character Expression and Differences in Yield Potential of Ten Genotypes of Cowpea [Vigna unguiculata (L.) Walp]. International Journal of Plant Research, 4(3): 63-71. 
    4. Akhter, T., Ivy, N. A., Rasul, M. G. and Mian, M. A. K. (2010). Variability and character association of reproductive traits in exotic rice germplasms. Bangladesh Journal of Plant Breeding and Genetics, 23(1): 39-43
    5. Akram, S., Hussain, B. M. N., Al-Bari1, M. A., Burritt, D. J. and Hossain, M. A. (2016). Genetic Variability and Association Analysis of Soybean [Glycine max (L.) Merrill] for Yield and Yield Attributing Traits. Plant Gene and Trait, 7(13): 1-11.
    6. Athoni, B. K. And Basavaraja, G. T. (2012). Association analysis, genetic variability and genetic diversity studies in soybean [ Glycine max (L.) Merrill]. Asian Journal of Bio Science, 7(2): 114-118.
    7. Baraskar, V. V., Kachhadia, V. H., VachhanI, J. H., Barad, H. R., Patel, M. B. and Darwankar, M. S. (2014). Genetic variability, heritability and genetic advance in soybean [Glycine max (L.) Merrill]. Electronic Journal of Plant Breeding, 5(4): 802-806.
    8. Chandrawat, K. S., Baig, K. S., Hashmi, S., Sarang, D. H., Kumar, A. and Dumai, P. K. (2017). Study on genetic variability, heritability and genetic advance in soybean. Int. J. Pure App. Biosci., 5 (1): 57-63.
    9. Falconer, D. S. (1989). Introduction to Quantitative Genetics (3rd ed.). Logman Scientific and Technical, Logman House, Burnt Mill, Harlow, Essex, England.
    10. Ghosh, J., Ghosh, P. D. and Choudhury, P. R. (2014). An assessment of genetic relatedness between soybeans [Glycine max (L.) Merrill] cultivars using SSR markers. American Journal of Plant Sciences, 05: 3089-3096.
    11. Gopalan, C., Ramashastry, B. V. and Balasubramanian, S. C. (1994). Nutritive Value of Indian Foods, Indian Council of Medical Research, pp. 24-26
    12. Harland, S. C. (1939). The genetics of cotton. Jonathan Cape, London (United Kingdom).
    13. He, F. J. and Chen, J. Q. (2013), Consumption of soybean, soy foods, soy isoflavones and breast cancer incidence: Differences between Chinese women and women in Western countries and possible mechanisms. Food Science and Human Wellness, 2: 35-38. 
    14. Jain, S., Srivastava, S. C., Singh, S. K., Indapurkar, Y. M. and Singh, B. K. (2015). Studies on genetic variability, character association and path analysis for yield and its contributing traits in soybean [Glycine max (L.) Merrill] Legume Research, 38(2): 182-184.
    15. Kumar, A., Pandey, A. and Pattanayak, A. (2015). Assessment of genotypic variation in soybean (Glycine max). Legume Research, 38(2): 174-177.
    16. Kumar, A. V., Kumar, S., Lal, K., Jolly, M. and Sachdev, A. (2014), Influence of gamma rays and ethylmethanesulphonate (EMS) on the levels of phytic acid, raffinose family oligosaccharides and antioxidants in soybean seeds of different genotypes, Journal of Plant Biochemistry and Biotechnology, 24: 204-209.
    17. Kwon, S. H. and Torrie, J. H. (1964). Heritability and interrelationship of two soybean (Glycine max L.) genotypes. Crop Science, 4: 196-198. 
    18. Malek, M. A., Raffi, M. Y., Afroj, M. S. S., Nath, U. K. and Mondol, M. M. A. (2014), Morphological characterization and assessment of genetic variability, character association, and divergence in soybean mutants, The Scientific World Journal, 1-12.
    19. Mishra, S., Pancheshwar, D. K., Singh, P. and Jha, A. (2015). Study of Genetic Variability in recently evolved genotypes of soybean [Glycine max (L.) Merill]. Trends in Biosciences, 8(19): 5390-5393.
    20. Panes, V. G. and Sukhatme, P. V. (1995). Statistical Methods for Agricultural Workers (3rd ed.,). ICAR, New Delhi.
    21. Panse, V. G., and Sukhatme, P. V. (1985). Statistical Methods for Agricultural Research Workers. Indian Council of Agricultural Research, New Delhi.
    22. Prasad, B., Bahuguna, A. and Shukla, D. K. (2012). Geno typic variation studies of perilla(Perilla prutescens L.) germplasm under north-west Himalayan agrisystem. Environment and Ecology, 30(4): 1235-1237.
    23. Rani, A., Kumar, V., Gill, B. S., Morya, V. and Rawal, R. (2016). Assessment of genetic diversity of soybean genotypes differing in resistance against yellow mosaic virus using simple sequence repeat markers. Legume Research, 39(5): 674-681.
    24. Raturi, A., Singh, S. K., Sharma, V. and Pathak, R. (2014). Genetic variability and interrelationship among qualitative and quantitative traits in mungbean. Legume Research, 37(1): 1 – 10.
    25. Reni, Y. P. and Rao, Y. K. (2013). Genetic Variability in Soybean [Glycine max (L) Merrill]. International Journal of Plant, Animal and Environmental Sciences, 3(4): 35-38.
    26. Sathya, R. and Jebaraj, S. (2013). Inter-Relationship and cause effect analysis among drought and physiological traits in three line aerobic rice hybrids, Plant Gene and Trait, 4: 70-73. 
    27. Semahegn, Y. and Tesfaye, M. (2016). Characters associations and path analysis in safflower (Carthamus tinctorious) accessions, Molecular Plant Breeding, 7(31): 1-5. 
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