Citation Information

  • Title : Economics of cropping sequences in Western Vidarbha.
  • Source : Journal of Soils and Crops
  • Publisher : Association of Soils and Crops Research Scientists
  • Volume : 19
  • Issue : 2
  • Pages : 295-301
  • Year : 2009
  • Document Type : Journal Article
  • Language : English
  • Authors:
    • Deshmukh, R. G.
    • Rathod, V. J.
    • Pawar, M. D.
  • Climates: Tropical (A). Tropical savannah (Aw).
  • Cropping Systems: Soybean.
  • Countries: India.

Summary

To study the cropping sequences adopted by farmers in selected area, and study the economics of different cropping sequences, the resource productivity and use efficiency in different cropping sequences this study was undertaken in the three districts of Western Vidarbha viz., Buldhana, Washim and Akola. The study was based on secondary data. The required data were collected from Agricultural Price Scheme (APC) located in the Department of Agricultural Economics and Statistics, Dr. PDKV, Akola. Out of 220 farmers covered by APC scheme in the three districts of Western Vidharbha, the farmers who grew kharif as well as rabi crops in season were purposively selected for study. In all 101 farmers were selected. Cropping pattern followed in the study. In all 101 farmers were selected. Cropping pattern followed in the study area was diversified in nature, cotton, jowar and mung crops dominated the cropping pattern. Other crops like tur, udid, soybean were also grown on selected holdings. Gram and wheat crop occupied 18.12 and 2.89 per cent of gross cropped area. Net return of Cost "C" were observed the highest in cotton-fallow i.e. Rs. 5684.34 followed by Cotton+tur-Fallow Rs. 4052.22 and Soybean-Fallow Rs. 3570.55. The regression analysis indicated that variables viz., area under crop, machine labour, nitrogen were found to be positive and significant. Bullock labour in case of Jowar-Fallow i.e. -1.33* was negative and significant thereby indicating the use of these inputs decrease the values of gross output. The marginal value product (MVP) to factor cost ratio indicate optimum resources use efficiency of a particular input. The ratio of MVP to factor cost for area under crop was found to be greater than unity which inferred that this resource was underutilized in all cropping sequences.

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