International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer

See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 6, Issue:10, October, 2017

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(10): 3313-3322

Analysis of Growth and Instability in Rice Production of Odisha by Fitting Appropriate Statistical Models
A. Dash1*, D.S. Dhakre2 and D. Bhattacharya2
1College of Agriculture, Chiplima (OUAT) 768025, Odisha, India
2Institute of Agriculture, PSB, Visva-bharati, Santiniketan, 731236, West Bengal, India
*Corresponding author

Agriculture in Odisha to a considerable extent means growing rice, the staple food of Odisha. The economic reforms in the 1991-92, affected the agriculture scenario of Odisha following which our study period (1970-71 to 2013-14) has been divided into pre-reform (1970-71 to 1991-92) and post reform (1992-93 to 2013-14) period. Attempts have been taken to make a comparative study of the growth rate and instability of area, production and yield of rice in the two periods. For studying the growth rate and instability, appropriate model which could best possibly describe the behavior of the phenomenon are fitted by applying spline regression technique with kink or knot placed at the year of transition from pre–reform period to post- reform period which is considered to be 1991-92. The possible spline regression models which could fit very well to the area, production and yield of rice are identified from the scatter plot of the data. Then by help of residual diagnostics and model fit statistics, the best fit models are obtained. Using the best fit model, average growth rates of area, production and yield are found. Coefficient of variation is used as a measure of instability. The difference in growth rates from the pre-reform to post–reform period is found to be negative but non-significant in case of area, negative and highly significant in case of production and significantly positive in case of yield. The difference in coefficient of variation between the two periods is highly significant and positive only for yield. For area and production, it is negative and significant only in case of area.

Keywords: Spline regression, kink, Economic reforms, Growth rate, Instability, Coefficient of variation.

Download this article as Download

How to cite this article:

Dash, A., D.S. Dhakre and Bhattacharya, D. 2017. Analysis of Growth and Instability in Rice Production of Odisha by Fitting Appropriate Statistical Models.Int.J.Curr.Microbiol.App.Sci. 6(10): 3313-3322. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.