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Profitability of Glyphosate-Resistant Sugarbeet Production in Whole Farm Systems

Author

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  • Lee, Brian
  • Ritten, John
  • Bastian, Christopher
  • Kniss, Andrew

Abstract

A Linear Programming model coupled with Monte Carlo simulation compares the profitability of glyphosate-resistant (GR) and conventional sugarbeet systems for a case farm in Southeast Wyoming. The optimal combination of cropping mixtures maximizing total farm profitability is determined based on varying crop and input prices as well as rotational constraints impacting the potential acres of GR sugarbeet. If restrictions on GR sugarbeet occur, producers are better off to grow at least some conventional sugarbeet in their rotation. Profitability reductions would likely not be as great as partial budget analyses might indicate if no sugarbeet were available, although much more variable.

Suggested Citation

  • Lee, Brian & Ritten, John & Bastian, Christopher & Kniss, Andrew, 2015. "Profitability of Glyphosate-Resistant Sugarbeet Production in Whole Farm Systems," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2015, pages 1-12.
    • Handle: RePEc:ags:jasfmr:233873
    DOI: 10.22004/ag.econ.233873
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    Cited by:

    1. Panchalingam, Thadchaigeni & Jones Ritten, Chian & Shogren, Jason F. & Ehmke, Mariah D. & Bastian, Christopher T. & Parkhurst, Gregory M., 2019. "Adding realism to the Agglomeration Bonus: How endogenous land returns affect habitat fragmentation," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.

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    Crop Production/Industries;

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