GENETIC ANALYSIS OF YIELD AND ITS ATTRIBUTES IN RICE (Oryza sativa L.)
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Authors
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CH. SREELAKSHMI* and P. RAMESH BABU
Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Nellore-524 003
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
Bhadru, D., Chandra, M.Y., Tirumalarao, V.,
Bharathi, D and Krishna, L. 2012.
Correlation and path analysis studies in
gallmidge resistant cultures of rice (Oryza
sativa L.). International Journal of Applied
Biology and Pharmaceutical Technology.
(2): 137-140.
Dewey, D.R and Lu, K.H. 1959. A correlation and
path coefficient analysis of components of
crested wheat grass seed production.
Agronomy Journal. 51: 515-518.
Falconer, D.S. 1964. An Introduction to
Quantitative Genetics. Oliver and Boyd
Publishing Co. Pvt. Ltd., Edinburgh. pp.
-324.
Hanson, C.H., Robinson, H.F and Comstock, R.E.
Biometrical studies of yield in
segregating population of Korean lespedza.
Agronomy Journal. 48:268-272.
Hossain, S., Maksudul, H.M.D and Jamilur, R.
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.
Islam, M.A., Raffi, S.A., Hossain, M.A and Hasan,
A.K. 2015. Character association and path
coefficient analysis of grain yield and yield
related traits in some promising early to
medium duration rice advanced lines.
International Journal of Experimental
Agriculture. 5 (1): 8-12.
Jhonson, H.W., Robinson, H.F and Comstock,
R.E. 1955. Estimation of genetic and
environmental variability in Soybean.
Agronomy Journal. 47(7): 314-318.
Khatun, T.M., Mohamed, M.H., Mohd, R.Y., Wong,
M.Y., Faezah, M.L and Jannatul, F. 2015.
Genetic variation, heritability and diversity
analysis of upland rice (Oryza sativa L.)
genotypes based on quantitative traits. Bio-
Med Research International. 10: 1-7.
Kishore, N.S., Srinivas, T., Nagabhushanam, U.,
Pallavi, M and Sameera, S.K. 2015. Genetic
variability, correlation and path analysis for
yield and yield components in promising rice
(Oryza sativa L.) genotypes. SAARC Journal
of Agriculture. 13(1): 99-108.
Kumar, A and Verma, O.P. 2015. Correlation and
path coefficient analysis in certain
quantitative traits in rice (Oryza sativa L.)
under saline-alkaline condition. Research
in Environment and Life Sciences. 8(3):443-
Kumar, V.G., Koutu, K., Singh, S.K., Mishra, D.K.,
Singh, P.K and Sohgaura, N. 2014. Genetic
analysis of inter sub-specific derived
mapping population (rils) for various yield
and quality attributing traits in rice.
International Science Journals. 1(3): 1-7.
Reddy, E.G., Suresh, B.G., Sravan, T.S and
Reddy, A.P. 2013. Interrelationship and
cause and effect analysis of rice genotypes
in north east plain zone. The Bioscan. 8(4):
-1144.
Ria, K., Singh, A.K., Singh, A and Singh, P.K.
Genetic components association and
diversity analysis in upland rice (Oryza sativa
SREELAKSHMI and RAMESH BABU
L.). Environment and Ecology. 33(2): 767-
Saikumar, S., Saiharini, A., Ayyappa, D.,
Padmavathi, G and Shenoy, V. 2014.
Heritability, correlation and path analysis
among yield and yield attributing traits for
drought tolerance in an interspecific cross
derived from Oryza sativa x O. glaberrima
introgression line under contrasting
moisture regimes. Notule Scientia
Biologicae. 6(3): 338-348.
Sathya, R and Jebaraj, S. 2013. Heritability and
genetic advance estimates from three line
rice hybrids under aerobic condition.
International Journal of Agricultural Science
Research. 3(3): 69-74.
Sudharani, M., Raghava Reddy. P.R., Hari
Prasad, G.H and Surendra, Ch.R. 2012.
Correlation and path coefficient analysis for
yield and physiological attributes in rice
(Oryza sativa L.) hybrids under saline soil
conditions. The Journal of Research
ANGRAU. 41 (1): 105-108.
Wright, S. 1921. Correlation and causation.
Journal of Agricultural Research. 20: 557-
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