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Research Article

volume 37 issue 4 (december 2017) : 251-256,   Doi: 10.18805/ag.D-4643

Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.)

K
Karthika Gunasekaran
R
Rajeswari Sivakami
R
Robin Sabariappan
G
Govintharaj Ponnaiah
V
Vishnu Varthini Nachimuthu
B
Balaji Aravindhan Pandian
1Center for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
Cite article:- Gunasekaran Karthika, Sivakami Rajeswari, Sabariappan Robin, Ponnaiah Govintharaj, Nachimuthu Varthini Vishnu, Pandian Aravindhan Balaji (2017). Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.). Agricultural Science Digest. 37(4): 251-256. doi: 10.18805/ag.D-4643.

ABSTRACT

Nine rice genotypes were evaluated for this present study. Genetic variability parameters, correlation and path coefficient analysis were estimated for eleven agronomic and quality traits. Among all the genotypes, ASD 16 recorded highest significant grain yield per plant. In this present study, the PCV was higher than GCV for all the characters studied.  The grain yield per plant recorded highest GCV, high heritability coupled with high genetic advance which indicates that the trait  were governed by epistasis and dominant gene action. Number of productive tillers per plant and thousand grain weight showed positive significant correlation and direct effects on grain yield per plant.  The purpose of this study is to estimate the amount of variability present in this material, which in turn helps to select these material for further breeding programme to develop high yield hybrids combine with blast and leaf folder resistance. 

REFERENCES

  1. Abebe, T., Alamerew, S. and Tulu, L. (2017). Genetic variability, heritability and genetic advance for yield and its related traits in rainfed lowland rice (Oryza sativa L.). Advances in Crop Science and Technology, 5:272. DOI: 10.4172/2329-8863.1000272.
  2. Balakrishnan, D., Robin, S., Rabindran, R. and Joel, A.J. (2016). Molecular and morphological characterisation of back cross generations for yield and blast resistance in rice. Journal Rice Research, 4: 169. DOI:10.4172/2375-4338.1000169.
  3. Burton, G.W. (1952). Quantitative Inheritance in Grasses. Proc. 6th Int. Grassland Cong. 1: 277-283.
  4. Priya, C.S., Suneetha, Y., Babu, D.R. and Rao, V.S. (2017). Inter relationship and path analysis for yield and quality characters in rice (Oryza sativa L.). International Journal of Scientific Engineering and Technology, 6(1): 381-390.
  5. Datta, S.K. (2004). Rice biotechnology: A need for developing countries. Journal of Agrobiotechnology Management and Economics, 7: 31-35
  6. Devi, K.R., Chandra, B.S., Lingaiah, N., Hari, Y. and Venkanna, V. (2017). Analysis of variability, correlation and path coefficient studies for yield and quality traits in rice (Oryza Sativa L.). Agricultural Science Digest-A Research Journal, 37(1): 1-9. DOI:10.18805/asd.v0iOF.7328.
  7. Dewey, D.R. and Lu, K.H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal, 15: 515-518.
  8. Hossain, S., Maksudul Haque, M.D. and Rahman, J. (2015). Genetic variability, correlation and path coefficient analysis of morphological traits in some extinct local aman rice (Oryza sativa L). Journal of Rice Research, 3:158. DOI:10.4172/2375-4338.1000158.
  9. IRRI. (1996). Standard Evaluation System, International Rice Research Institute, Manila, Manila, Philippines, pp. 11-30.
  10. Johnson, H.W., Robinson, H.F. and Comstock, R.I. (1955). Estimates of genetic and environmental variability in soybeans. Agronomy Journal, 47: 314-318.
  11. Lenka, D. and Misra, B. (1973). Path-coefficient analysis of yield in rice varieties. Indian journal of agricultural sciences, 43(4): 376-379.
  12. Lush, J.L. (1940). Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. Proceedings of the American Society of Animal Nutrition, 293-301.
  13. Govindaraj, M., Vetriventhan, M. and Srinivasan, M. (2015). Importance of Genetic Diversity Assessment in Crop Plants and Its Recent Advances: An Overview of Its Analytical Perspectives. Genetics Research International, 1-14. http://dx.doi.org/    10.1155/2015/431487. 
  14. Govintharaj, P., Shalini, T., Manonmani, S. and Robin, S. (2016). Genetic parameters studies on bacterial blight resistance genes introgressed segregating population in Rice. World Scientific News, 59:85-96.
  15. Malik, A.J., Rajper, M.M. and Majeedano, M.W. (1986). Heterosis, gene action, combining ability analysis of diallel crosses in wheat. Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences, 2 (1-2): 39-48.
  16. Panse, V.G. and Sukhatme, P.V. (1964). Statistical Methods for Agricultural Research Workers, ICAR, New Delhi. pp-287.
  17. Ponnaiah Govintharaj, Shalini, T., Manonmani, S. and Robin, S. (2016). Estimates of genetic variability, heritability and genetic advance for blast resistance gene introgressed segregating population in rice. International Journal of Current Microbiology and Applied Sciences, 5(12): 672677. 
  18. Ponnaiah Govintharaj, Shalini, T., Manonmani, S., Robin, S., Vishnu,V.N., Karthika, G. and Balaji, A. (2017). Genetic variability for yield and yield components characters in bacterial blight and blast resistance genes introgressed backcross populations in rice. International Journal of Current Microbiology and Applied Sciences. 6(2): 100-103. DOI: http://dx.doi.org/10.20546/    ijcmas.2017.602.014 
  19. Ramasamy, C., Shanmugam, T.R. and Kumar, D.S. (1996). Constraints to higher rice yields in different rice production environments and prioritization of rice research in southern India. Rice Research in Asia: Progress and Priorities. [RE Evenson, RW Herdt, and M. Hossain (eds.)]. CAB International and IRRI. Wallingford, UK.
  20. Robinson, H.F., Comstock, R.E. and Harvey, P.H. (1949). Estimates of heritability and the degree of dominance in corn. Agronomy Journal, 41: 353-359.
  21. Sivasubramanian, S. and Madhava Menon, P. (1973). Genotypic and phenotypic variability in rice. The Madras Agricultural Journal, 60: 1093–1096.
  22. Snedecor, G.W. (1966). Statistical Methods Applied to Experiments in Agriculture and Biology: With chapter 17 on sampling by William G. Cochran. Iowa State College Press.
  23. Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7): 557-585.
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    Research Article

    volume 37 issue 4 (december 2017) : 251-256,   Doi: 10.18805/ag.D-4643

    Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.)

    K
    Karthika Gunasekaran
    R
    Rajeswari Sivakami
    R
    Robin Sabariappan
    G
    Govintharaj Ponnaiah
    V
    Vishnu Varthini Nachimuthu
    B
    Balaji Aravindhan Pandian
    1Center for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
    Cite article:- Gunasekaran Karthika, Sivakami Rajeswari, Sabariappan Robin, Ponnaiah Govintharaj, Nachimuthu Varthini Vishnu, Pandian Aravindhan Balaji (2017). Assessment of genetic variability, correlation and path coefficient analysis for morphological and quality traits in rice (Oryza sativa L.). Agricultural Science Digest. 37(4): 251-256. doi: 10.18805/ag.D-4643.

    ABSTRACT

    Nine rice genotypes were evaluated for this present study. Genetic variability parameters, correlation and path coefficient analysis were estimated for eleven agronomic and quality traits. Among all the genotypes, ASD 16 recorded highest significant grain yield per plant. In this present study, the PCV was higher than GCV for all the characters studied.  The grain yield per plant recorded highest GCV, high heritability coupled with high genetic advance which indicates that the trait  were governed by epistasis and dominant gene action. Number of productive tillers per plant and thousand grain weight showed positive significant correlation and direct effects on grain yield per plant.  The purpose of this study is to estimate the amount of variability present in this material, which in turn helps to select these material for further breeding programme to develop high yield hybrids combine with blast and leaf folder resistance. 

    REFERENCES

    1. Abebe, T., Alamerew, S. and Tulu, L. (2017). Genetic variability, heritability and genetic advance for yield and its related traits in rainfed lowland rice (Oryza sativa L.). Advances in Crop Science and Technology, 5:272. DOI: 10.4172/2329-8863.1000272.
    2. Balakrishnan, D., Robin, S., Rabindran, R. and Joel, A.J. (2016). Molecular and morphological characterisation of back cross generations for yield and blast resistance in rice. Journal Rice Research, 4: 169. DOI:10.4172/2375-4338.1000169.
    3. Burton, G.W. (1952). Quantitative Inheritance in Grasses. Proc. 6th Int. Grassland Cong. 1: 277-283.
    4. Priya, C.S., Suneetha, Y., Babu, D.R. and Rao, V.S. (2017). Inter relationship and path analysis for yield and quality characters in rice (Oryza sativa L.). International Journal of Scientific Engineering and Technology, 6(1): 381-390.
    5. Datta, S.K. (2004). Rice biotechnology: A need for developing countries. Journal of Agrobiotechnology Management and Economics, 7: 31-35
    6. Devi, K.R., Chandra, B.S., Lingaiah, N., Hari, Y. and Venkanna, V. (2017). Analysis of variability, correlation and path coefficient studies for yield and quality traits in rice (Oryza Sativa L.). Agricultural Science Digest-A Research Journal, 37(1): 1-9. DOI:10.18805/asd.v0iOF.7328.
    7. Dewey, D.R. and Lu, K.H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal, 15: 515-518.
    8. Hossain, S., Maksudul Haque, M.D. and Rahman, J. (2015). Genetic variability, correlation and path coefficient analysis of morphological traits in some extinct local aman rice (Oryza sativa L). Journal of Rice Research, 3:158. DOI:10.4172/2375-4338.1000158.
    9. IRRI. (1996). Standard Evaluation System, International Rice Research Institute, Manila, Manila, Philippines, pp. 11-30.
    10. Johnson, H.W., Robinson, H.F. and Comstock, R.I. (1955). Estimates of genetic and environmental variability in soybeans. Agronomy Journal, 47: 314-318.
    11. Lenka, D. and Misra, B. (1973). Path-coefficient analysis of yield in rice varieties. Indian journal of agricultural sciences, 43(4): 376-379.
    12. Lush, J.L. (1940). Intra-sire correlations or regressions of offspring on dam as a method of estimating heritability of characteristics. Proceedings of the American Society of Animal Nutrition, 293-301.
    13. Govindaraj, M., Vetriventhan, M. and Srinivasan, M. (2015). Importance of Genetic Diversity Assessment in Crop Plants and Its Recent Advances: An Overview of Its Analytical Perspectives. Genetics Research International, 1-14. http://dx.doi.org/    10.1155/2015/431487. 
    14. Govintharaj, P., Shalini, T., Manonmani, S. and Robin, S. (2016). Genetic parameters studies on bacterial blight resistance genes introgressed segregating population in Rice. World Scientific News, 59:85-96.
    15. Malik, A.J., Rajper, M.M. and Majeedano, M.W. (1986). Heterosis, gene action, combining ability analysis of diallel crosses in wheat. Pakistan Journal of Agriculture, Agricultural Engineering and Veterinary Sciences, 2 (1-2): 39-48.
    16. Panse, V.G. and Sukhatme, P.V. (1964). Statistical Methods for Agricultural Research Workers, ICAR, New Delhi. pp-287.
    17. Ponnaiah Govintharaj, Shalini, T., Manonmani, S. and Robin, S. (2016). Estimates of genetic variability, heritability and genetic advance for blast resistance gene introgressed segregating population in rice. International Journal of Current Microbiology and Applied Sciences, 5(12): 672677. 
    18. Ponnaiah Govintharaj, Shalini, T., Manonmani, S., Robin, S., Vishnu,V.N., Karthika, G. and Balaji, A. (2017). Genetic variability for yield and yield components characters in bacterial blight and blast resistance genes introgressed backcross populations in rice. International Journal of Current Microbiology and Applied Sciences. 6(2): 100-103. DOI: http://dx.doi.org/10.20546/    ijcmas.2017.602.014 
    19. Ramasamy, C., Shanmugam, T.R. and Kumar, D.S. (1996). Constraints to higher rice yields in different rice production environments and prioritization of rice research in southern India. Rice Research in Asia: Progress and Priorities. [RE Evenson, RW Herdt, and M. Hossain (eds.)]. CAB International and IRRI. Wallingford, UK.
    20. Robinson, H.F., Comstock, R.E. and Harvey, P.H. (1949). Estimates of heritability and the degree of dominance in corn. Agronomy Journal, 41: 353-359.
    21. Sivasubramanian, S. and Madhava Menon, P. (1973). Genotypic and phenotypic variability in rice. The Madras Agricultural Journal, 60: 1093–1096.
    22. Snedecor, G.W. (1966). Statistical Methods Applied to Experiments in Agriculture and Biology: With chapter 17 on sampling by William G. Cochran. Iowa State College Press.
    23. Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7): 557-585.
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