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Combining biophysical and price simulations to assess the economics of long-term crop rotations AgEcon
Murray-Prior, Roy B.; Whish, J.; Carberry, Peter S.; Dalgleish, N..
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.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries; Farm Management.
Ano: 2003 URL: http://purl.umn.edu/57927
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Combining Biophysical and Price Simulations to Assess the Economics of Long-Term Crop Rotations AgEcon
Murray-Prior, Roy B.; Whish, J.; Carberry, Peter S.; Dalgleish, N..
Biophysical simulation models (e.g. APSIM) using historical rainfall data are increasingly being used to provide yield and other data on crop rotations in various regions of Australia. However, to analyse the economics of these rotations it is desirable to incorporate the other main driver of profitability, price variation. Because the context was that APSIM was being used to simulate an existing trial site being monitored by a farmer group Gross Margin output was considered most appropriate. Long-run rotational gross margins were calculated for the various rotations with yields (and other physical outputs) derived from APSIM simulations over a period of 100+ years and prices simulated in @Risk based on subjective triangular price distributions elicited...
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2003 URL: http://purl.umn.edu/24399
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