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Determining Optimal Levels of Nitrogen Fertilizer Using Random Parameter Models AgEcon
Tumusiime, Emmanuel; Brorsen, B. Wade; Biermacher, Jon T.; Mosali, Jagadeesh; Johnson, Jim; Locke, James.
The parameters of yield response functions can vary by year. Past studies usually assume yield functions are nonstochastic or ‘limited’ stochastic. In this study, we estimate rye-ryegrass yield functions where all parameters are random. Optimal nitrogen rates are calculated for two yield response functions: linear response plateau and quadratic. Nonstochastic models are rejected in favor of stochastic parameter models. However, the economic benefits of using fully stochastic models are small since optimal nitrogen rates do not differ greatly between stochastic and nonstochastic models.
Tipo: Conference Paper or Presentation Palavras-chave: Linear response plateau; Monte Carlo; Nitrogen; Random parameters; Agricultural and Food Policy; Crop Production/Industries; Farm Management; Production Economics.
Ano: 2010 URL: http://purl.umn.edu/56514
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Positioning and number of nutritional levels in dose-response trials to estimate the optimal-level and the adjustment of the models Ciência Rural
Souza,Fernando Augusto de; Malheiros,Euclides Braga; Carneiro,Paulo Roberto Oliveira.
The aim of this research was to evaluate the influence of the number and position of nutrient levels used in dose-response trials in the estimation of the optimal-level (OL) and the goodness of fit on the models: quadratic polynomial (QP), exponential (EXP), linear response plateau (LRP) and quadratic response plateau (QRP). It was used data from dose-response trials realized in FCAV-Unesp Jaboticabal considering the homogeneity of variances and normal distribution. The fit of the models were evaluated considered the following statistics: adjusted coefficient of determination (R²adj), coefficient of variation (CV) and the sum of the squares of deviations (SSD).It was verified in QP and EXP models that small changes on the placement and distribution of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Regression models; Chicken nutrition; Dose-response trials; Linear response plateau; Quadratic response plateau.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782014000701204
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