STATISTICAL APPROACH TO ENERGY USE EFFICIENCY OF MAIZE-URDBEAN INTERCROPPING SYSTEM

Article Id: ARCC857 | Page : 134 - 138
Citation :- STATISTICAL APPROACH TO ENERGY USE EFFICIENCY OF MAIZE-URDBEAN INTERCROPPING SYSTEM .Legume Research-An International Journal.2011.(34):134 - 138
G.B. Mallikarjuna1, T. R. Manjunath2 and S.M. Megeri3 mallika@scientist.com
Address : University of Agricultural Sciences G.K.V.K., Bangalore - 560 065, India

Abstract

Replicated values of energy use efficiency of different data sets were subjected to Anderson-Darling Normality Test and Shapiro-wilk test. Non significant result noticed between the data sets indicated analyses using regular analysis of variance (parametric). Analysis of variance of the values of energy use efficiency noticed to be non significant between the treatments in all the data sets. However, for maize it could be noticed that overall energy use efficiency is noticed to be better in Paired row of maize with two rows of urdbean, which recorded energy use efficiency value 11.56 compared to 11.26 and 11.00 of 2:1 and 1:1 row ratio respectively.

Keywords

Energy use efficiency. Anderson-Darling normality test Shapiro-wilk test Parametric Intercropping.

References

  1. Anonymous, (2009), Single cross hybrid maize production technology, published by Directorate of Maize Research, ICAR, New Delhi.
  2. Manjunath, B.L. and Itnal, C.J.,(2005),Energy input and output relationship in rice based cropping systems. Madras Agric. J., 92(1-3):84-88.
  3. Mittal, V.K., Mittal,J.P and Dhawan, K.C., (1985), Research Digest on Energy Requirement in Agricultural Sector. Coordinating cell, AICRP on energy requirement in agricultural sector. Punjab Agricultural University, Ludhiana.
  4. Parihar, S.S., Pandey, D., Shukla, R.K., Verma, V.K., Chaure, N.K., Choudhary, K.K. AND Pandey, K.S., (1999), Energetic, yield, water use and economic of rice-based cropping system. Indian J. Agron., 44(2):205-209.
  5. Shapiro, S. S. and Wilk, M.B., (1965), An analysis of variance test for normality. Biometrika, 52 (3), 591-611.

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