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On Monoculture and the Structure of Crop Rotations

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  • Hennessy, David A.

Abstract

An issue when seeking to identify rotation choice is persistence in yield-enhancement and input-saving carry-over effects. Focusing on carry-over length and the monoculture decision, we use quasi-convexity of choice functions to develop price-independent and price-dependent principles concerning rotation structure. Iowa corn-soybean rotation data suggest corn has one-year memory. For corn, soybeans in the prior year is yield increasing (16.5 bu./ac.) and nitrogen saving (51 lb./ac.). The hypothesis that soybean has two-year memory cannot be rejected. Corn in the prior year (two years) increases yield by 7 bu./ac. (11.6 bu./ac.). We simulate to find price and practice subsidy levels that support different rotations.

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Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 12004.

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Date of creation: 19 Aug 2004
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Publication status: Published in American Journal of Agricultural Economics, November 2006, vol. 88, pp. 900-914
Handle: RePEc:isu:genres:12004

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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Cited by:
  1. Livingston, Michael J. & Roberts, Michael J. & Rust, John, 2008. "Optimal Corn and Soybean Rotations," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6213, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  2. Feng, Hongli & Rubin, Ofir D. & Babcock, Bruce A., 2008. "Greenhouse Gas Impacts of Ethanol from Iowa Corn: Life Cycle Analysis versus System-wide Accounting," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6503, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Hongli Feng & Bruce A. Babcock, 2010. "Impacts of Ethanol on Planted Acreage in Market Equilibrium," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(3), pages 789-802.
  4. Ridier, Aude & Chaib, Karim & Roussy, Caroline, 2012. "The adoption of innovative cropping systems under price and production risks: a dynamic model of crop rotation choice," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122440, European Association of Agricultural Economists.
  5. Raja Chakir & Julien Hardelin, 2010. "Crop Insurance and Pesticides in French agriculture: an empirical analysis of multiple risks management," Working Papers hal-00753733, HAL.
  6. Xiaodong Du & David A. Hennessy & Cindy L. Yu, 2012. "Testing Day's Conjecture that More Nitrogen Decreases Crop Yield Skewness," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 225-237.
  7. Feng, Hongli & Rubin, Ofir D. & Babcock, Bruce A., 2008. "Greenhouse Gas Impacts of Ethanol from Iowa Corn," Lifecycle Carbon Footprint of Biofuels Workshop, January 29, 2008, Miami Beach, Florida 49101, Farm Foundation.
  8. Renwick, Alan W. & Revoredo-Giha, Cesar & Topp, Kairsty, 2007. "Modelling the Adoption of Crop Rotation Practices in Organic Mixed Farms," Working Papers 109390, Scottish Agricultural College, Land Economy Research Group.
  9. Miao, Ruiqing & Hennessy, David A. & Feng, Hongli, 2013. "Native Grassland Conversion: the Roles of Risk Intervention and Switching Costs," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149865, Agricultural and Applied Economics Association.
  10. Boyer, Christopher N. & Larson, James A. & Roberts, Roland K. & McClure, Angela T. & Tyler, Donald D. & Zhou, Vivian, 2013. "Stochastic Corn Yield Response Functions to Nitrogen for Corn after Corn, Corn after Cotton, and Corn after Soybeans," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(04), November.

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