Bayesian Estimation of Optimal Nitrogen Rates with a Non-Normally Distributed Stochastic Plateau Function

Despite abundant literature on crop yield distributions, there is no strict agreement about functional form and distributional assumptions. This paper estimated the optimal nitrogen rates in wheat production assuming a stochastic plateau yield function with nonnormal random effects. The yield plateau parameter is assumed to be beta distributed. The parameters are estimated using a Bayesian estimation methods and a noninformative prior. The maximum likelihood method was also used to compare the results of the two approaches. The results indicate a slight difference in nitrogen recommendation, which can be associated with the fact that the Bayesian methods capture parameter uncertainty while the MLE does not.

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 Record created 2017-04-01, last modified 2020-10-28

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