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Nonparametric Methods in the Analysis of the Quality of Kernel of Selected Winter Wheat Cultivars Cover

Nonparametric Methods in the Analysis of the Quality of Kernel of Selected Winter Wheat Cultivars

Open Access
|Nov 2021

Abstract

The paper presents a statistical analysis of weight and diameter of kernel obtained for eight investigated winter wheat cultivars. Preliminary analyses of experimental results, such as compliance with a normal distribution, equality of variance for particular cultivars, and occurrence of outliers proved that there is no justification for the use of a traditional one-way analysis of variance for verification of hypotheses according to which weight and diameter of grains of the investigated winter wheat cultivars do not differ. A nonparametric Kruskal-Wallis test was used for verification of hypotheses which based on the experimental results enabled to reject both hypotheses. Further, simultaneous average weight and diameters of grain of the investigated cultivars were compared with the use of Nemenyi-Dunn test. The applied test enabled to conclude which cultivars had a significantly higher weight than the others. Analogous comparisons were carried out for the diameter of kernels of the investigated winter wheat cultivars.

DOI: https://doi.org/10.2478/agriceng-2021-0010 | Journal eISSN: 2449-5999 | Journal ISSN: 2083-1587
Language: English
Page range: 125 - 134
Submitted on: Jul 1, 2021
Accepted on: Sep 1, 2021
Published on: Nov 3, 2021
Published by: Polish Society of Agricultural Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Magdalena Ćwiklińska, Zofia Hanusz, Jakub Soja, Renata Polak, published by Polish Society of Agricultural Engineering
This work is licensed under the Creative Commons Attribution 4.0 License.