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Modeling of Polyculture Fish Feed Using Mathematical Programming

Author

Listed:
  • Chetna
  • Krishan
  • Siwach, Vikash
  • Tonk, Manju Singh
  • Mehta, Phagun
  • Tonk, Anu

Abstract

This study incorporates the application of a linear programming technique for composition of fish feed mixture to minimize the cost without sacrificing the nutrients levels. Designing the best fish diet for fry, fingerling, and growth stages is the main goal of this study. Regarding nutrient composition and manufacturing costs, the study's results show that a variety of elements can be combined much more effectively than in commercially available feed. The combinations lead to significantly reduced costs while raising nutrient intake, which might be quite advantageous to neighboring fish farmers. . The suggested model was solved with Microsoft Excel to make it more user-friendly.

Suggested Citation

  • Chetna & Krishan & Siwach, Vikash & Tonk, Manju Singh & Mehta, Phagun & Tonk, Anu, 2022. "Modeling of Polyculture Fish Feed Using Mathematical Programming," Asian Journal of Agricultural Extension, Economics & Sociology, Asian Journal of Agricultural Extension, Economics & Sociology, vol. 40(11), pages 1-13.
    • Handle: RePEc:ags:ajaees:367242
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    File URL: https://ageconsearch.umn.edu/record/367242/files/sciencedomain%2C%2BKrishan40112022AJAEES91991.pdf
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    References listed on IDEAS

    as
    1. Walter D. Fisher & Leonard W. Schruben, 1953. "Linear Programming Applied to Feed-Mixing under Different Price Conditions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 35(4), pages 471-483.
    2. R. P. Christensen & R. L. Mighell, 1951. "Food Production Strategy and the Protein-Feed Balance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 33(2), pages 183-191.
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