Research Article Open Access

Investigation the Substitution Capability of Oilseeds in Cropping Pattern

Mahmoud Daneshvar Kakhki, S. Youssefzade and Hamideh Ghodrati Azadi

Abstract

Problem statement: Farm activity is a risky activity special in less developed countries, so all decisions and activities are affected by this phenomenon. Consideration of risk either helps to elimination of deviations in result of model or preparing tools for evolution of some policies that the aim of them is reducing the risk for farmers. Oil seed are the second resource of food store in the world. Also, Iran is depending on oil import and going out of much exchange to provide oil and scum of that annually. Because of this matter, agriculture sector need plants that are adjust to climate of Iran and have a lot of oil, that canola is the best one. Approach: In this study, capability of substitution oilseeds in cropping pattern was considered; optimum cultivated pattern of important crops that have most cultivated area of canola in Khorasan Province is considered. Linear programming and risk-programming models such as MOTAD and quadratic programming were compared. Results: Models suggest increasing the cultivated area of oilseeds crop. Conclusion: Increasing the cultivated area of canola cause to the pattern cultivating of farmers improve and inputs will used in better way, too. Increasing the cultivated area, it is a movement toward self sufficient in oil seed production that will accompany with noticeable thrift in foreign exchange.

American Journal of Applied Sciences
Volume 6 No. 12, 2009, 1995-2000

DOI: https://doi.org/10.3844/ajassp.2009.1995.2000

Submitted On: 2 November 2009 Published On: 31 December 2009

How to Cite: Kakhki, M. D., Youssefzade, S. & Azadi, H. G. (2009). Investigation the Substitution Capability of Oilseeds in Cropping Pattern. American Journal of Applied Sciences, 6(12), 1995-2000. https://doi.org/10.3844/ajassp.2009.1995.2000

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Keywords

  • Cropping pattern
  • risk programming
  • linear programming
  • MOTAD
  • quadratic programming
  • oilseeds