<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Department of Applied Mathematics and Computer Science

Department of Thermal Technology and Food Process Engineering

Agricultural Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

The paper presents a statistical analysis of weight and diameter of kernel obtained for eight investigated winter wheat cultivars. Preliminary analyses of...

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

Online veröffentlicht: 03. Nov. 2021

Seitenbereich: 125 - 134

Eingereicht: 01. Juli 2021

Akzeptiert: 01. Sept. 2021

DOI: https://doi.org/10.2478/agriceng-2021-0010

Schlüsselwörter
nonparametric methods, winter wheat, seed quality

© 2021 Magdalena Ćwiklińska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 03. Nov. 2021

Seitenbereich: 125 - 134

Eingereicht: 01. Juli 2021

Akzeptiert: 01. Sept. 2021

DOI: https://doi.org/10.2478/agriceng-2021-0010

Schlüsselwörternonparametric methods, winter wheat, seed quality

© 2021 Magdalena Ćwiklińska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
nonparametric methods, winter wheat, seed quality