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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, Cambridge University Press, vol. 38(3), pages 611-627, December.
    • Handle: RePEc:cup:jagaec:v:38:y:2006:i:03:p:611-627_02
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    Cited by:

    1. 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.
    2. Goeringer, L. Paul & Goodwin, Harold L., Jr. & Dixon, Bruce L. & Popp, Michael P., 2012. "Envesting in an Agricultural Legacy: Impact of a Targeted Young and Beginning Farmer Loan Program in Arkansas," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124427, Agricultural and Applied Economics Association.
    3. 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).

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