GENETIC DIVERSITY STUDIES FOR ECONOMICALLY IMPORTANT TRAITS IN RICE USING PRINCIPAL COMPONENT ANALYSIS
286 / 65
Authors
-
C. KIRAN KUMAR REDDY*and A. PRATAP KUMAR REDDY
Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Utukur- 516 003
Keywords:
Rice, genetic diversity, principal component analysisAbstract
Genetic diversity in rice using principal component analysis in 86 advanced breeding lines developed at
Agricultural Research Station, Utukur and 7 popularly grown varieties was studied. The analysis of variance revealed
significant differences for all the nine economically important yield traits measured. Use of principal component
analysis revealed nine components, out of which three components with eigen values greater than one (1) could
explain 57% of the variability.Based on the loading scores, characters viz., panicle weight, panicle length, number of
filled grains per panicle were found to be most contributing towards the construction of the first principal component.
Also, different entries viz., UTR 83-1, UTR 256 (high yield), UTR 258, UTR 209, UTR 202 (higher tiller number), UTR
224, UTR 253, UTR 257 (higher panicle weight), UTR 224, UTR 253, UTR 257 (higher panicle length), UTR 253, UTR
218, UTR 222 (lower test weight indicating fine grain nature) and UTR 224, UTR 253 and UTR 217 (higher filled
grains panicle-1) were identified.
References
1. Banfield, C.F. 1978. Principal component analysis
2. for genstat. Journal of Statistics and Computer
3. Simulation. 6: 211-222.
4. Chakravorty, A., Ghosh, P.D and Sahu, P.K. 2013.
5. Multivariate analysis of phenotypic diversity of
6. landraces of rice of West Bengal. American
7. Journal of Experimental Agriculture. 3: 110-123.
8. Dingkuhn, M., Penning, De Vries, F.W.T and Miezan,
9. K.M. 1993. Improvement of rice plant type
10. concepts: Systems research enables
11. interaction of physiology and breeding. In:
12. Penning de Vries, F., Teng, P and Metselaar, K
13. (Editors). Systems Approaches for Agricultural
14. Development. Springer, The Netherlands.
15. Dixit, S., Singh, A and Kumar, A. 2014. Rice breeding
16. for high grain yield under drought: a strategic
17. solution to a complex problem. International
18. Journal of Agronomy. 2014: 863683.
19. Gana, A.S., Shaba, S.Z and Tsado, E.K. 2013.
20. Principal component analysis of morphological
21. traits in thirty-nine accessions of rice (Oryza
22. sativa L.) grown in a rainfed lowland ecology of
23. Nigeria. Journal of Plant Breeding and Crop
24. Science.5: 120-126.
25. Indiastat. 2017. Area, production and productivity of
26. rice in India. Retrieved from website (www.
27. indiastat.com) on 23.6.2019.
28. Kang, K.K and Kim, Y.G. 2012. Temperate rice in
29. Korea. In: Jena K.K., Hardy, B. (Eds.). Advances
30. in Temperate Rice Research. International Rice
31. Research Institute, Los Baños, Philippines.
32. Oladosu, Y., Rafi, M.Y., Abdullah, N., Malek, M.A
33. and Rahim, H.A. 2014. Genetic variability and
34. selection criteria in rice mutant lines as revealed
35. by quantitative traits. The Scientific World
36. Journal.190531.
37. Pandey, P., Anurag, P.J., Tiwari, D.K., Yadav, S.K
38. and Kumar, B. 2011. Genetic variability, diversity
39. and association of quantitative traits with grain
40. yield in rice (Oryza sativa L.). Journal of Bio-
41. Science. 17: 77-82.
42. Rabara, R.C., Ferrer, M.C., Diaz, C.L., Newingham,
43. M.C.V and Romero, G.O. 2014. Phenotypic
44. diversity of farmers’ traditional rice varieties in
45. the Philippines. Agronomy. 4:217-241.
46. Ranjith, P., Sahu, S., Dash, S.K., Bastia, D.N and
47. Pradhan B.D. 2019. Principal component
48. analysis of rice varieties under bacterial leaf
49. blight incidence. International Journal of
50. Chemical Studies. 7 (3): 4184 - 4187.
51. Sanni, K.A., Fawole, I., Ogunbayo, A., Tia, D.,
52. Somado, E.A and Futakuchi, Guei R.G. 2012.
53. Multivariate analysis of diversity of landrace rice
54. germplasm. Crop Science. 52:494–504.
55. Tejaswini K L Y., Srinivas M., Ravi Kumar B.N.V.S.R.,
56. Ramana Rao P.V., Ahmed M.L and Raju, M.S.K.
57. Application of principal component
58. analysis for rice F5 families characterization and
59. evaluation. Emergent Life Science Research. 4
60. (1): 72 - 84.
61. Tuhina-Khatun, M., Hanaf, M.M., Yusop, M.R., Wong,
62. M.Y and Salleh, F.M. 2015. Genetic variation,
63. heritability, and diversity analysis of uplandrice
64. (Oryza sativa L.) genotypes based on
65. quantitative traits. BioMed Research
66. International. 290861.
67. Warburton, M.L., Xianchun, X., Crossa, J., Franco,J.,
68. Melchinger,A.E., Frisch,M., Bohn,M and
69. Hoisington, D. 2002. Genetic characterization
70. of CIMMYT inbred maize lines and open
71. pollinated populations using large scale finger
72. printing methods.Crop Science.42(6): 1832-
73. Wiley, E.O and Lieberman,B.S. 2011. Phylogenetics:
74. Theory and practice of phylogenetic
75. systematics. John Wiley & Sons, New York.
76. pp. 101-103.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author owns the article's copyright until the article is accepted for publication. After acceptance, the author(s) assigns the article's copyright jointly to both the authors and the Publishers of the Journal of Research ANGRAU (ANGRAU) and licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License.
