1. bookVolume 25 (2021): Issue 1 (January 2021)
Journal Details
License
Format
Journal
eISSN
2449-5999
First Published
12 Mar 2016
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1 time per year
Languages
English
Open Access

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

Published Online: 03 Nov 2021
Volume & Issue: Volume 25 (2021) - Issue 1 (January 2021)
Page range: 125 - 134
Received: 01 Jul 2021
Accepted: 01 Sep 2021
Journal Details
License
Format
Journal
eISSN
2449-5999
First Published
12 Mar 2016
Publication timeframe
1 time per year
Languages
English
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.

Keywords

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