Combining biophysical and price simulations to assess the economics of long-term crop rotations

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.


Issue Date:
2003-02
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/57927
Total Pages:
21




 Record created 2017-04-01, last modified 2017-12-28

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