Raising the accuracy of dispersion analysis in results of field experiments

Abstract

Two methods are suggested for compiling operative tables for dispersion analysis in results of preferably single factor field experiments with the aim of increasing their statistical trustworthiness, which is especially important under conditions of precision agriculture. The first method relates to processing the data of single year experiments and consists in ranging the experimental indices by repetitions (lines of the table) in each variant for removing possible mutual liquidation in columns of the operative table and getting the unbiased value of dispersion in repetitions. The second method is directed to statistical processing the results of many-year field experiments by consecutive locating in lines of the operative table the data for the entire period of analyzing their registration in the field experiment, which allows for statistically estimating the average many-year efficiency of studied agricultural practices.