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Whole-Farm Evaluation of No-Till Profitability in Rice Production using Mixed Integer Programming

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  • Watkins, K. Bradley
  • Hill, Jason L.
  • Anders, Merle M.
  • Windham, Tony E.

Abstract

Rice production in Arkansas usually involves intensive tillage. No-till rice has been studied, but the focus has been limited to impacts on yields and per acre returns. This study uses mixed integer programming to model optimal machinery selection and evaluate whole-farm profitability of no-till management, for rice-soybean farms. Results indicate that lower machinery ownership expenses combined with lower fuel and labor expenses do enhance the profitability of no-till management, but the monetary gains appear to be modest, implying that other incentives may be necessary to entice producers to use the practice.

Suggested Citation

  • Watkins, K. Bradley & Hill, Jason L. & Anders, Merle M. & Windham, Tony E., 2006. "Whole-Farm Evaluation of No-Till Profitability in Rice Production using Mixed Integer Programming," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(3), pages 1-17, December.
    • Handle: RePEc:ags:joaaec:43792
    DOI: 10.22004/ag.econ.43792
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    References listed on IDEAS

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    6. Francis M. Epplin & Thomas F. Tice & Alan E. Baquet & Steven J. Handke, 1982. "Impacts of Reduced Tillage on Operating Inputs and Machinery Requirements," American Journal of Agricultural Economics, John Wiley & Sons, vol. 64(5), pages 1039-1046, December.
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    Cited by:

    1. Massey, J.H. & Reba, M.L. & Adviento-Borbe, M.A. & Chiu, Y.L. & Payne, G.K., 2022. "Direct comparisons of four irrigation systems on a commercial rice farm: Irrigation water use efficiencies and water dynamics," Agricultural Water Management, Elsevier, vol. 266(C).
    2. Hristovska, Tatjana & Watkins, K. Bradley & Anders, Merle M., 2012. "An Economic Risk Analysis of No-till Management for the Rice-Soybean Rotation System used in Arkansas," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119676, Southern Agricultural Economics Association.

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