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Abstract
Long-run rotational gross margins were calculated with yields derived from biophysical
simulations in APSIM over a period of 100+ years and prices simulated in @Risk based on
subjective triangular price distributions elicited from the Jimbour Plains farmer group. Rotations
included chickpeas, cotton, lucerne, sorghum, wheat and different lengths of fallow. Output
presented to the farmers included mean annual GMs and distributions of GMs with box and
whisker plots found to be suitable. Mean-standard deviation and first and second-degree
stochastic dominance efficiency measures were also calculated. Including lucerne in the
rotations improved some sustainability indicators but reduced profitability.