Analysis and classification of characteristics of rice varietal composition using Statistica IP
Journal Title: «Таврійський науковий вісник» - Year 2018, Vol 104, Issue
Abstract
The article demonstrates the results of analysis and classification of quantitative and qualitative indicators of rice varieties Premium, Ukraine–96, Viscount using the Statistica software, which is intended for statistical processing of information. As experimental data, we used the results of research work on the improvement of technological processes of growing seeds of modern rice varieties that was conducted at the Institute of Rice NAAS in 2016–2018. Using the k–means method of clustering of the dispersion analysis of data, we found the intergroup dispersion and statistical significance levels of the studied characteristics of each of the rice varieties. In most cases of analysis in the studied years, the weight of 1000 grains, productive tilling capacity, plant height and emptiness of grain dominated; the cluster “Rozsadnyk rozmnozhenia and Superelita” turned out to have with the most optimal characteristics of the yield structure.
Authors and Affiliations
С. Г. ВОЖЕГОВ, М. І. ЦІЛИНКО, Г. Г. ЗОРІНА
Keywords
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