Agricultural Science Digest
SCOPUS
  • Year: 2024
  • Volume: 44
  • Issue: 1

Development of a scale to analyze the perception of aromatic black rice growers towards mission organic value chain development scheme

  • Author:
  • Meghajit Shijagurumayum Sharma1,*, M.T. Lakshminarayan2, T.L. Mohankumar3
  • Total Page Count: 5
  • Page Number: 58 to 62

1Department of Agricultural Extension, University of Agricultural Sciences, Bangalore-560 065, Karnataka, India

2University Examination Centre, University of Agricultural Sciences, Bangalore-560 065, Karnataka, India

3Department of Agricultural Statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, Bangalore-560 065, Karnataka, India

*Corresponding Author: Meghajit Sharma Shijagurumayum, Department of Agricultural Extension, University of Agricultural Sciences, Bangalore-560 065, Karnataka, India, Email: meghajit59@gmail.com

Online published on 29 July, 2024.

Abstract

An attempt is made in the present study to develop and standardized scale to analyse the perception of aromatic black rice growers towards the Mission Organic Value Chain Development Scheme (MOVCDS) which is implemented in North Eastern states of India.

A perception scale was developed and administered to 35 aromatic black rice growers in Imphal West district of Manipur. Based on the cumulated score, the aromatic black rice growers were categorized as poor, good and better level of perception towards MOVCDS considering mean and half standard deviation as a measure of check.

The developed perception scale was found to be highly reliable and valid. The final perception scale consists of 18 statements, of which 13 statements are positive and the remaining five statements are negative. The results revealed that an equal number of aromatic black rice growers (34.29% each) had good and better perception towards MOVCDS, whereas the remaining 31.42 per cent of the aromatic black rice growers had poor perception towards MOVCDS.

Keywords

Aromatic black rice, Organic, Perception, Reliability, Validity