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Title:Value of soil sampling and optimal sampling density for a variable rate seed application
Author(s):Hwang, Jaeseok
Advisor(s):Bullock, David S
Contributor(s):Mieno, Taro; Paulson, Nicholas; Martin, Nicolas
Department / Program:Agr & Consumer Economics
Discipline:Agricultural & Applied Econ
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):grid soil sampling
variable rate seed application
profit-maximizing density
Abstract:Grid soil sampling has become one of the most popular and powerful methods to investigate soil characteristics in various crop input application experiments. Based on the recommendations of previous literature, farmers and researchers believe that a single sample per hectare is the optimal sampling density to generate the most statistically significant information on soil nutrients and physical conditions. The literature, however, does not describe whether the recommended sampling density is the optimal density in terms of farmers’ profit. A number of farmers and researchers criticize the cost inefficiency of grid soil sampling, while there is little research calibrating the monetary value of grid soil sampling by its density. This study evaluates the value of soil sampling in terms of estimated profit to farmers by comparing variable densities of sampling data from five samples per ha to quarter samples per hectare. To calibrate the net revenue difference of adopting different sampling densities, this research estimates the yield response functions of seed corresponding to the density of soil sampling data. The results of this study show that a point sampling per hectare could not be the most profitable density in an experiment. In addition, estimated optimal sampling density varies from field to field by the spatial distribution pattern of soil characteristics.
Issue Date:2020-12-09
Type:Thesis
URI:http://hdl.handle.net/2142/109441
Rights Information:Copyright 2020 Jaeseok Hwang
Date Available in IDEALS:2021-03-05
Date Deposited:2020-12


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