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Stochastic Corn Yield Response Functions to Nitrogen for Cornafter Corn, Corn after Cotton, and Corn after Soybeans

Published online by Cambridge University Press:  26 January 2015

Christopher N. Boyer ,
James A. Larson ,
Roland K. Roberts ,
Angela T. McClure ,
Donald D. Tyler  and
Vivian Zhou
Christopher N. Boyer
Affiliation:
Department of Agricultural and Resource Economics, The University of Tennessee, Knoxville, Tennessee
James A. Larson
Affiliation:
Department of Agricultural and Resource Economics, The University of Tennessee, Knoxville, Tennessee
Roland K. Roberts
Affiliation:
Department of Agricultural and Resource Economics, The University of Tennessee, Knoxville, Tennessee
Angela T. McClure
Affiliation:
Department of Plant Sciences, The University of Tennessee, West Tennessee Research and Education Center, University of Tennessee, Jackson, Tennessee
Donald D. Tyler
Affiliation:
Department of Biosystems Engineering and Soil Sciences, The University of Tennessee, West Tennessee Research and Education Center, University of Tennessee, Jackson, Tennessee
Vivian Zhou
Affiliation:
Department of Agricultural and Resource Economics, The University of Tennessee, Knoxville, Tennessee
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Abstract

Deterministic and stochastic yield response plateau functions were estimatedto determine the expected profit-maximizing nitrogen rates, yields, and netreturns for corn grown after corn, cotton, and soybeans. The stochasticresponse functions were more appropriate than their deterministiccounterparts, and the linear response stochastic plateau described the datathe best. The profit-maximizing nitrogen rates were similar for corn aftercorn, cotton, and soybeans, but relative to corn after corn, the expectedcorn yield plateaus increased by 12% and 16% after cotton and soybeans,respectively. Expected net returns increased for corn after cotton andsoybeans relative to corn after corn.

Keywords

cornlinear response stochastic plateaunet returnsnitrogenquadratic response stochastic plateauC12D24Q12
Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 45 , Issue 4 , November 2013 , pp. 669 - 681
Copyright
Copyright © Southern Agricultural Economics Association 2013

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