A COMPARATIVE STATISTICAL ANALYSIS OF RICE CULTIVARS DATA
Keywords:
Rice Cultivars Data, Nitrogen Response Trials, Split-plot, Sub-plot, Grain Yield, Panicle Number, Panicle Weight, 1000 Grain Weight, Days of 50% Flowering and Seed to Seed Days.Abstract
In this paper, rice cultivars data have been analysed by three different statistical techniques viz. Split-plot analysis in RBD, two-factor factorial analysis in RBD and analysis of two-way classified data with several observations per cell. The powers of the tests under different methods of analysis have been calculated. The method of two-way classified data with several observations per cell is found better followed by two-factor factorial technique in RBD and split plot analysis for analyzing the given data.
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References
Clewer, A.G. and Scarisbrick, D.H. (2001). Practical Statistics and
Experimental Design for Plant Crop Science, John Wiley & Sons, New York.
Cyprien, M. and Kumar, V. (2011). Correlation and path coefficient analysis
of rice cultivars data, Journal of Reliability and Statistical Studies, 4(2), p.
-131.
Gomez, K.A. and Gomez, A.A. (1984). Statistical Procedures for Agricultural
Research, John Wiley & Sons , New York.
Graybill, Franklin A. (1961). An Introduction to Linear Statistical Models,
Volume I, McGraw-Hill Book Company, Inc., New York.
Hasegawa, T., Horie, T. and Yandell. B.S. (1991). Improvement of yielding
ability in japonica rice cultivars and its impact on regional yield increase in
Kinki District, Japan Agricultural-Systems, 35(2), p. 173-187.
Noureldin, N.A., Abdelhalim, A.A., Elbially, M.E. and Mohamed, S.G.A.
(2000). Comparative study of some decision making procedures used in field
crop experiments, Annals of Agricultural Science Cairo, 3 (Special), p. 869-
Patra, P.S. and Biswas S. (2009). Yield and yield attributes of rice cultivars as
affected by transplanting dates under Terai Region of West Bengal,
Environment and Ecology, 27(4B), p. 2035-2039.
Rajarathinam, P., Martin, G.J., Jeyasrinivas, R. and Balaji, T. (2010). Effect of
integrated nitrogen management on productivity, soil fertility and profitability