AGRONOMIC CHARACTERIZATION OF RICE GENOTYPES AND ITS RELATIONS WITH YIELD TRAIT

BASANTI BRAR¹*, DEEPIKA CHAUDHARY², R.K. JAIN³, SUNITA JAIN^4
1Department of Molecular Biology, Biotechnology and Bioinformatics, Chaudhary Charan Singh Haryana Agricultural University, Hisar, 125004, Haryana
²Chaudhary Devi Lal University, Sirsa, 125055, Haryana
³Department of Molecular Biology, Biotechnology and Bioinformatics, Chaudhary Charan Singh Haryana Agricultural University, Hisar, 125004, Haryana
⁴Department of Molecular Biology, Biotechnology and Bioinformatics, Chaudhary Charan Singh Haryana Agricultural University, Hisar, 125004, Haryana
* Corresponding Author : basantibrar@gmail.com

Received : 17-03-2018     Accepted : 20-03-2018     Published : 30-03-2018
Volume : 10     Issue : 2       Pages : 349 - 353
Genetics 10.2 (2018):349-353
DOI : http://dx.doi.org/10.9735/0975-2862.10.2.349-353

Keywords : agronomic, grain yield, mineral content
Academic Editor : R C Chaudhary
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to Chaudhary Charan Singh Haryana Agricultural University, Hisar, 125004, Haryana and Chaudhary Devi Lal University, Sirsa, 125055, Haryana
Author Contribution : All author equally contributed

In the present study we reported the physio-morphological characterization of fourteen mineral rich as well as high yielding rice genotypes. Genotypic and phenotypic coefficient of variation for various traits in fourteen rice varieties reported in this study. Phenotypic coefficient of variation (PCV) was higher than or equal to the genotypic coefficient of variation for all the parameters of all rice genotypes. Phenotypic correlation coefficient association between various traits in fourteen rice varieties was assessed, yield per plant showed a positive correlation with grains per panicle (0.250; p=0.01), number of panicles per plant (0.111; p=0.01), and effective number of tillers per plant (0.152; p=0.01). In addition to this path coefficient analysis was done to study direct and indirect effects of component traits on grain yield per plant. The data shows that grain weight had highest positive direct effect on grain yield per plant.

1. Clayton W.D. and Renvoize S.A. (1986) Key Bulletin Series XIII. London, Her Majesty’s Stationary Office.
2. Coffman W.R. and Hersera R.M. (1980) American Society of Agronomy-Crop Science of America, 28, 101-131.
3. Kato S., Kosaka H. and Hara S. (1928) Central Agricultural Institute Kyushu Imp University, 2, 241-276.
4. Brar B., Jain S., Singh R. and Jain R.K. (2011) Indian J. Genet., 71(1), 67-73.
5. Welch R.M. and Graham R.D. (2004) J. Exp. Bot., 55, 353-364.
6. Singh V. P., Swaminathan M. S., Mehra R. B. and Siddiq E. A. (1979) Ind. J. Genet. Plant Breed., 39, 315-322.
7. Sharma N. K. and Dwivedi J. L. (1980) J. Agri. Sci. Society Assam, 1, 12-17.
8. Sharma A. K. and Sharma R. N. (2007) Oryza, 44(4), 300-303.
9. Chakrabarty S., Das P.K., Guha B., Sarmah K.K. and Barman B. (2010) Not. Sci. Bio., l 2 (1), 117-120.
10. Kaul M.L.H. and Kumar V. (1982) Genetica Agraria, 36, 257-268.
11. Sarma M.K., Richharia A.K. and Agarwal R.K. (1996) International Rice Res. Notes, 21(1), 25-26.
12. Mustafa M.A. and Elsheikh M.A.Y. (2007) Afri. Crop Sci. J., 15(4), 183-189.
13. Mishra L.K., Verma R., Jadhav P. and Parvin J. (2003) Plant Arch., 3(2), 271-277.
14. Thomson M.J., Tai T.H., McClung A.M., Lai X.H., Hinga M.E., Lobo K.B., Xu Y., Martínez R. and McCouch S.R. (2003) Theor. Appl. Genet., 107,4 79-493.
15. Dhanraj A., Jagdish C.A. and Upre V. (1987) J. Res. APAU, 15(1), 64-65.
16. Brar B., Jain S. and Jain R.K. (2014) Indian J. Genet., 74(1), 81-85.
17. Brar B., Jain R.K. and Jain S. (2015) Int J Curr Sci, 2, 15, E 42-50.
18. Brar B., Jain R.K. and Jain S. (2015) Rice Genomics and Genetics, 6(9), 1-9.
19. Saini S.S. and Gagneja M.R. (1975) Ind. J. Genet. Plant Breed., 35, 441-445.
20. Kishor C.Y., Prasad Z.A., Haider R.K. and Kumar K. (2008) Oryza, 45(4), 268-274.
21. Sameera S.K., Srinivas T., Rajesh A.P., JayalakshmI V. and Nirmala P.J. (2016) Bangladesh J. Agril. Res., 41(2), 259-271
22. Rathod R., D. Sanjeeva R., Babu V.R. and Bharathi M. (2017) Int. J. Curr. Microbiol. App.Sci., 6(11), 183-188.
23. Rawte S. and Saxena R.R. (2017) Int J Chem Studies, 5(5), 547-551
24. Kalyan B., Krishna K.V.R., Rao L.V.S. (2017) Int J Curr. Microbiol. App Sci., 6(7), 2680-2687.