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.