GENETIC ANALYSIS OF YIELD AND ITS ATTRIBUTES IN RICE (Oryza sativa L.)
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Keywords:
Rice, genetic parameters, path coefficient analysis, yieldAbstract
The experiment (2014-16) was conducted to study the genetic parameters for yield and its
contributing traits revealed that number of unfilled grains/ panicle, 1000 grain weight and grain yield
recorded high PCV and GCV values. High heritability with high GA as% of mean (genetic advance as
percent of mean) was observed for effective bearing tillers per plant, number of filled grains/panicle,
number of unfilled grains per panicle, 1000 seed weight and grain yield indicating the involvement of
additive gene action in the inheritance of the traits hence it is sufficient to follow simple selection. A
light on correlation studies revealed that positive direct effect of grain yield was observed with number
of ear bearing tillers per plant, number of filled grains/ panicle, harvest index, days taken for 50%
flowering and days taken for maturity and selection may be effective based on these traits to isolate
high yielding genotypes. Path coefficient analysis revealed that, days taken for maturity, number of
ear bearing tillers/plant, number of filled grains/ panicle and harvest index had shown high positive
direct effect as well as positive association with grain yield. Hence, the above traits may be considered
as an important criterion in the rice improvement programme
References
1. Bhadru, D., Chandra, M.Y., Tirumalarao, V.,
2. Bharathi, D and Krishna, L. 2012.
3. Correlation and path analysis studies in
4. gallmidge resistant cultures of rice (Oryza
5. sativa L.). International Journal of Applied
6. Biology and Pharmaceutical Technology.
7. (2): 137-140.
8. Dewey, D.R and Lu, K.H. 1959. A correlation and
9. path coefficient analysis of components of
10. crested wheat grass seed production.
11. Agronomy Journal. 51: 515-518.
12. Falconer, D.S. 1964. An Introduction to
13. Quantitative Genetics. Oliver and Boyd
14. Publishing Co. Pvt. Ltd., Edinburgh. pp.
15. -324.
16. Hanson, C.H., Robinson, H.F and Comstock, R.E.
17. Biometrical studies of yield in
18. segregating population of Korean lespedza.
19. Agronomy Journal. 48:268-272.
20. Hossain, S., Maksudul, H.M.D and Jamilur, R.
21. Genetic variability, correlation and
22. path coefficient analysis of morphological
23. traits in some extinct local aman rice (Oryza
24. sativa L). Journal of Rice Research. 3: 158.
25. Islam, M.A., Raffi, S.A., Hossain, M.A and Hasan,
26. A.K. 2015. Character association and path
27. coefficient analysis of grain yield and yield
28. related traits in some promising early to
29. medium duration rice advanced lines.
30. International Journal of Experimental
31. Agriculture. 5 (1): 8-12.
32. Jhonson, H.W., Robinson, H.F and Comstock,
33. R.E. 1955. Estimation of genetic and
34. environmental variability in Soybean.
35. Agronomy Journal. 47(7): 314-318.
36. Khatun, T.M., Mohamed, M.H., Mohd, R.Y., Wong,
37. M.Y., Faezah, M.L and Jannatul, F. 2015.
38. Genetic variation, heritability and diversity
39. analysis of upland rice (Oryza sativa L.)
40. genotypes based on quantitative traits. Bio-
41. Med Research International. 10: 1-7.
42. Kishore, N.S., Srinivas, T., Nagabhushanam, U.,
43. Pallavi, M and Sameera, S.K. 2015. Genetic
44. variability, correlation and path analysis for
45. yield and yield components in promising rice
46. (Oryza sativa L.) genotypes. SAARC Journal
47. of Agriculture. 13(1): 99-108.
48. Kumar, A and Verma, O.P. 2015. Correlation and
49. path coefficient analysis in certain
50. quantitative traits in rice (Oryza sativa L.)
51. under saline-alkaline condition. Research
52. in Environment and Life Sciences. 8(3):443-
53. Kumar, V.G., Koutu, K., Singh, S.K., Mishra, D.K.,
54. Singh, P.K and Sohgaura, N. 2014. Genetic
55. analysis of inter sub-specific derived
56. mapping population (rils) for various yield
57. and quality attributing traits in rice.
58. International Science Journals. 1(3): 1-7.
59. Reddy, E.G., Suresh, B.G., Sravan, T.S and
60. Reddy, A.P. 2013. Interrelationship and
61. cause and effect analysis of rice genotypes
62. in north east plain zone. The Bioscan. 8(4):
63. -1144.
64. Ria, K., Singh, A.K., Singh, A and Singh, P.K.
65. Genetic components association and
66. diversity analysis in upland rice (Oryza sativa
67. SREELAKSHMI and RAMESH BABU
68. L.). Environment and Ecology. 33(2): 767-
69. Saikumar, S., Saiharini, A., Ayyappa, D.,
70. Padmavathi, G and Shenoy, V. 2014.
71. Heritability, correlation and path analysis
72. among yield and yield attributing traits for
73. drought tolerance in an interspecific cross
74. derived from Oryza sativa x O. glaberrima
75. introgression line under contrasting
76. moisture regimes. Notule Scientia
77. Biologicae. 6(3): 338-348.
78. Sathya, R and Jebaraj, S. 2013. Heritability and
79. genetic advance estimates from three line
80. rice hybrids under aerobic condition.
81. International Journal of Agricultural Science
82. Research. 3(3): 69-74.
83. Sudharani, M., Raghava Reddy. P.R., Hari
84. Prasad, G.H and Surendra, Ch.R. 2012.
85. Correlation and path coefficient analysis for
86. yield and physiological attributes in rice
87. (Oryza sativa L.) hybrids under saline soil
88. conditions. The Journal of Research
89. ANGRAU. 41 (1): 105-108.
90. Wright, S. 1921. Correlation and causation.
91. Journal of Agricultural Research. 20: 557-
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