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Current IssueEditorial BoardOnline First ArticlesArchive

Research Article

volume 52 issue 1 (february 2018) : 28-33,   Doi: 10.18805/IJARe.A-4926

Character association and stress indices for yield components in Saltol introgressed backcross inbred lines of rice (Oryza sativa L.)

S
S. Banumathy
K
K. Veni
R
R. Anandhababu
P
P. Arunachalam
M
M. Raveendran
C
C. Vanniarajan
1Department of Plant Breeding and Genetics, Agriculture College and Research Institute, Tamil Nadu Agricultural University, Madurai- 625 104, Tamil Nadu, India.
Cite article:- Banumathy S., Veni K., Anandhababu R., Arunachalam P., Raveendran M., Vanniarajan C. (2018). Character association and stress indices for yield components in Saltol introgressed backcross inbred lines of rice (Oryza sativa L.). Indian Journal of Agricultural Research. 52(1): 28-33. doi: 10.18805/IJARe.A-4926.

ABSTRACT

Correlation, path coefficient and stress indices for yield and its components were studied in 32 Saltol introgressed backcross inbred lines (BIL) of rice along with a tolerant parent FL 478, susceptible check IR 29 and two recurrent parents viz., ADT 37 and CR 1009 Sub1 under normal and saline environments during rabi, 2016. Grain yield per plant showed positive significant association with all traits except 100 grain weight under normal environment and it showed positive significant association with all traits except panicle length, spikelet fertility and 100 grain weight under saline condition. The direct positive effects of number of tillers per plant, number of productive tillers per plant, number of filled grains per panicle and spikelet fertility on grain yield under normal and saline environment indicating direct selection of these traits would be effective for increasing grain yield. Under salinity, negative and significant association was shown by stress susceptibility index (SSI) and grain yield in contrast to positive and significant association shown by stress tolerance index (STI) and grain yield. These associations could be useful in identifying salt tolerant and sensitive high yielding genotypes. The lines viz., BIL 108, BIL 752, BIL 1101, BIL 1079, BIL 1094 and BIL 1095 had exhibited higher values of stress tolerance index in salinity. 

REFERENCES

  1. Ashok, S., Jyothula, D.P.B. and Ratnababu. D. (2016). Character association and path analysis for yield components and grain quality parameters of rice (Oryza sativa L.). International Journal of Agricultural Science and Research, 6:253-258.
  2. Biswajit, P., Sritama,K. and Sabyaschi, K. (2017). Genetic variability and character association for yield and yield components in submergence tolerant rice varieties. Indian J. Agric. Res., 51:239-244.
  3. Chandrashekhar, H and Shailaja, H. (2017). Character association and path coefficient analysis for yield component traits in rice (Oryza sativa L.) under moisture stress condition at vegetative stage. Curr. trends biomedical Eng. and Biosci., 2: 1-4.
  4. Dewey, D.R. and Lu, K.H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed production. Agron. J., 51:515–518. 
  5. Fernandez, G.C.J. (1992). Effective selection criteria for assessing plant stress tolerance. Proceedings of the International Symposium on Adaptation of Vegetables and other Food Crops in Temperature and Water Stress, August 13-16, 1992, Shanhua, Taiwan, pp: 257-270.
  6. Fischer, R.A. and Maurer, R. (1978). Drought resistance in spring wheat cultivars. I. Grain yield responses. Aust. J.Agric. Res., 29: 897–912. 
  7. Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955) Estimation of genetic and environmental variability in soybeans. Agronomy J., 47: 314–318. 
  8. Khush, G.S. (2005). What it will take to feed 5.0 billion rice consumers in 2030. Plant Mol Biol., 59: 1–6. 
  9. Panse, V.G. and Sukhatme P.V. (1964). Statistical Methods for Agricultural Workers.2 Ed. Indian Council of Agricultural Research. New Delhi, pp: 123-289. 
  10. Panwar, L.L. (2006). Character association and path analysis in rice (Oryza sativa L.). Ann. agric. Res. New series, 27: 257-260.
  11. Premkumar, R., Gnanamalar, R. P. and Anandakumar, C. R. (2016).Correlation and path coefficient analysis of grain quality traits in Rice (Oryza sativa L.). Indian J.Agric.Res., 50: 27-32.
  12. Ratna, M., Begum, S., Husna, A., Dey, S. R. and Hossain, M. S. (2015). Correlation and path coefficients analyses in basmati rice. Bangladesh J. Agril. Res., 40: 153-161.
  13. Shanthi, P, Jebaraj, S and Geetha, S. (2011). Correlation and path coefficient analysis of some sodic tolerant physiological traits and yield in rice (Oryza sativa L.). Indian J. Agric. Res., 45: 201-208.
  14. Santhi Priya, C., Suneetha, Y., Ratna Babu, D. and Srinivasa Rao, V. (2017). Inter-relationship and path analysis for yield and quality characters in rice (Oryza sativa L.). International Journal of Science, Environment, 6: 381 – 390.
  15. Satish Chandra, B., Dayakar Reddy, T., Ansari, N. A. and Sudheer Kumar, S. (2009). Correlation and path analysis for yield and yield components in rice (Oryza sativa L.). Agric. Sci. Digest, 29: 45-47. 
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    Research Article

    volume 52 issue 1 (february 2018) : 28-33,   Doi: 10.18805/IJARe.A-4926

    Character association and stress indices for yield components in Saltol introgressed backcross inbred lines of rice (Oryza sativa L.)

    S
    S. Banumathy
    K
    K. Veni
    R
    R. Anandhababu
    P
    P. Arunachalam
    M
    M. Raveendran
    C
    C. Vanniarajan
    1Department of Plant Breeding and Genetics, Agriculture College and Research Institute, Tamil Nadu Agricultural University, Madurai- 625 104, Tamil Nadu, India.
    Cite article:- Banumathy S., Veni K., Anandhababu R., Arunachalam P., Raveendran M., Vanniarajan C. (2018). Character association and stress indices for yield components in Saltol introgressed backcross inbred lines of rice (Oryza sativa L.). Indian Journal of Agricultural Research. 52(1): 28-33. doi: 10.18805/IJARe.A-4926.

    ABSTRACT

    Correlation, path coefficient and stress indices for yield and its components were studied in 32 Saltol introgressed backcross inbred lines (BIL) of rice along with a tolerant parent FL 478, susceptible check IR 29 and two recurrent parents viz., ADT 37 and CR 1009 Sub1 under normal and saline environments during rabi, 2016. Grain yield per plant showed positive significant association with all traits except 100 grain weight under normal environment and it showed positive significant association with all traits except panicle length, spikelet fertility and 100 grain weight under saline condition. The direct positive effects of number of tillers per plant, number of productive tillers per plant, number of filled grains per panicle and spikelet fertility on grain yield under normal and saline environment indicating direct selection of these traits would be effective for increasing grain yield. Under salinity, negative and significant association was shown by stress susceptibility index (SSI) and grain yield in contrast to positive and significant association shown by stress tolerance index (STI) and grain yield. These associations could be useful in identifying salt tolerant and sensitive high yielding genotypes. The lines viz., BIL 108, BIL 752, BIL 1101, BIL 1079, BIL 1094 and BIL 1095 had exhibited higher values of stress tolerance index in salinity. 

    REFERENCES

    1. Ashok, S., Jyothula, D.P.B. and Ratnababu. D. (2016). Character association and path analysis for yield components and grain quality parameters of rice (Oryza sativa L.). International Journal of Agricultural Science and Research, 6:253-258.
    2. Biswajit, P., Sritama,K. and Sabyaschi, K. (2017). Genetic variability and character association for yield and yield components in submergence tolerant rice varieties. Indian J. Agric. Res., 51:239-244.
    3. Chandrashekhar, H and Shailaja, H. (2017). Character association and path coefficient analysis for yield component traits in rice (Oryza sativa L.) under moisture stress condition at vegetative stage. Curr. trends biomedical Eng. and Biosci., 2: 1-4.
    4. Dewey, D.R. and Lu, K.H. (1959). A correlation and path coefficient analysis of components of crested wheat grass seed production. Agron. J., 51:515–518. 
    5. Fernandez, G.C.J. (1992). Effective selection criteria for assessing plant stress tolerance. Proceedings of the International Symposium on Adaptation of Vegetables and other Food Crops in Temperature and Water Stress, August 13-16, 1992, Shanhua, Taiwan, pp: 257-270.
    6. Fischer, R.A. and Maurer, R. (1978). Drought resistance in spring wheat cultivars. I. Grain yield responses. Aust. J.Agric. Res., 29: 897–912. 
    7. Johnson, H.W., Robinson, H.F. and Comstock, R.E. (1955) Estimation of genetic and environmental variability in soybeans. Agronomy J., 47: 314–318. 
    8. Khush, G.S. (2005). What it will take to feed 5.0 billion rice consumers in 2030. Plant Mol Biol., 59: 1–6. 
    9. Panse, V.G. and Sukhatme P.V. (1964). Statistical Methods for Agricultural Workers.2 Ed. Indian Council of Agricultural Research. New Delhi, pp: 123-289. 
    10. Panwar, L.L. (2006). Character association and path analysis in rice (Oryza sativa L.). Ann. agric. Res. New series, 27: 257-260.
    11. Premkumar, R., Gnanamalar, R. P. and Anandakumar, C. R. (2016).Correlation and path coefficient analysis of grain quality traits in Rice (Oryza sativa L.). Indian J.Agric.Res., 50: 27-32.
    12. Ratna, M., Begum, S., Husna, A., Dey, S. R. and Hossain, M. S. (2015). Correlation and path coefficients analyses in basmati rice. Bangladesh J. Agril. Res., 40: 153-161.
    13. Shanthi, P, Jebaraj, S and Geetha, S. (2011). Correlation and path coefficient analysis of some sodic tolerant physiological traits and yield in rice (Oryza sativa L.). Indian J. Agric. Res., 45: 201-208.
    14. Santhi Priya, C., Suneetha, Y., Ratna Babu, D. and Srinivasa Rao, V. (2017). Inter-relationship and path analysis for yield and quality characters in rice (Oryza sativa L.). International Journal of Science, Environment, 6: 381 – 390.
    15. Satish Chandra, B., Dayakar Reddy, T., Ansari, N. A. and Sudheer Kumar, S. (2009). Correlation and path analysis for yield and yield components in rice (Oryza sativa L.). Agric. Sci. Digest, 29: 45-47. 
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