Vol. 13 No. 1
Discriminant analysis: a tool for identifying significant socio-economic correlates in farming system - a case study
Author(s): Sh. H. SINGH, L. NARASIMIAH, S. DE, K. SINHA, G. SATHISH AND P.K. SAHU
Abstract: Food security in India and its agricultural growth depends on the performance of its small and marginal farmers as these farming group constitute 85.01 per cent of total farmers. To minimize uncertainty, increase income and productivity in agriculture, integrated farming system is being advocated with the incorporation of components like fishery, dairy, poultry, goat rearing, etc. with crop production. In this present study, an attempt has been made to study and analyses major factors involved in different farming systems practiced in Charangpat village of Thoubal district in Manipur where small and marginal farmers are dominant. Fisher’s Linear Discriminant Analysis (LDA) was used for discrimination of 100 randomly selected households into four farming system groups viz. Rice, Rice-fish, Rice-vegetable and Others group using nine discriminating variables and it could discriminate them 76 per cent correctly. Other group of farming which includes rice-fish-fruit, rice-fish-fruit-vegetable, rice-fish-vegetable, rice-fish-fruit-vegetable-pig and rice-fruit farming systems was found significantly better than others followed by rice-vegetable farming system in terms of income and saving. Important discriminating variables found are farm income, agriculture land, number of earners, agricultural assets, service income, other income, etc.
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