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ARS Home » Northeast Area » Orono, Maine » New England Plant, Soil and Water Research Laboratory » Research » Publications at this Location » Publication #202992

Title: The Potato Systems Planner: Cropping System Impacts on Profitability, Income Variability, and Economic Risk

Author
item Halloran, John
item Honeycutt, Charles
item Larkin, Robert - Bob
item Griffin, Timothy

Submitted to: American Society of Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 9/1/2006
Publication Date: 11/13/2006
Citation: Halloran, J.M., Honeycutt, C.W., Larkin, R.P., Griffin, T.S. 2006. The Potato Systems Planner: Cropping System Impacts on Profitability, Income Variability, and Economic Risk. American Society of Agronomy Abstracts. Published on CD-ROM

Interpretive Summary:

Technical Abstract: Potato (Solanum tuberosum L.) producers recognize the benefits of crop rotation; however, the economics of producing a high value crop, such as potato, create incentives for continuous potato production. Our USDA-ARS interdisciplinary team evaluated cropping systems of potato in two and three year rotations with barley (Hordium vulgare L.), sweet corn (Zea mays L.), green bean (Phaseolus vulgaris L.), soybean (Glycine max L., Mer.), and canola (Brassica napus L.) in central and northern Maine. Enterprise budgets were developed for each crop. These data were used, along with historical prices and yields, in a Monte Carlo simulation to determine the impact of rotation crop on whole-farm profitability and income risk. In the two year rotations, probability of economic loss ranged from a low of 3% for sweet corn-potato to a high of 37% for continuous potato. Inclusion of either sweet corn or green bean in the rotation substantially reduced grower risk, reduced income variability, and increased net income relative to continuous potato. These results provide direction for developing specific markets to accommodate those potato-based cropping systems having optimal productivity, profitability, and disease suppression attributes.