Practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> L.

Purpose. To determine and substantiate practical aspects of statistical analysis application for management results of the morphological description of cutting lettuce (Lactuca sativa L.) varieties when identifying them during corresponding phenological phases of growth and development. Methods. F...

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Main Authors: Н. В. Лещук, Н. С. Орленко
Format: Article
Language:English
Published: Ukrainian Institute for Plant Variety Examination 2017-09-01
Series:Plant Varieties Studying and Protection
Subjects:
Online Access:http://journal.sops.gov.ua/article/view/110716
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spelling doaj-37970df424ad473498febb5de63bd2742020-11-24T21:48:03ZengUkrainian Institute for Plant Variety ExaminationPlant Varieties Studying and Protection2518-10172518-74572017-09-0113331332210.21498/2518-1017.13.3.2017.110716110716Practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> L.Н. В. Лещук0Н. С. Орленко1Ukrainian Institute for Plant Variety ExaminationUkrainian Institute for Plant Variety ExaminationPurpose. To determine and substantiate practical aspects of statistical analysis application for management results of the morphological description of cutting lettuce (Lactuca sativa L.) varieties when identifying them during corresponding phenological phases of growth and development. Methods. Field study, analytical approach based on descriptive statistics and cluster analysis. Results. Quantitative values of display of such morphological characters as leaf rosette diameter, lettuce head size, leaf blade thickness and its venation were determined for the Lactuca sativa L. varieties. Statistical indices of four morphological characters of randomized sampling frame of seven cutting lettuce varie­ties were determined and the results of statistical analysis were interpreted. Cutting lettuce of loose leaf and capitate varieties was identified during corresponding phenological phases of growth and development. The most suitable method for clustering cutting lettuce varieties was defined. The results of clustering were interpreted. It was found that ‘Hodar’ variety differed greatly from others, ‘Dumka’ and ‘Olzhych’ varieties were the most similar. Conclusions. The results of the identification allowed to establish that capitate lettuce varieties were similar in the following combinations: ‘Bona’ and ‘Dyvohray’, ‘Olzhych’ and ‘Dumka’. According to the duration of interphase periods, it can be noted that such varieties as ‘Dumka’ and ‘Dyvohrai’ had the highest rate of maturation in comparison with ‘Bona’ and ‘Hodar’ varieties, and the lowest one as compared to the ‘Olzhych’ varietyhttp://journal.sops.gov.ua/article/view/110716cutting lettucevarietymorphological characterscollectionselectiondistinctnessdescriptive statisticscluster analysisclusteringWard’s method
collection DOAJ
language English
format Article
sources DOAJ
author Н. В. Лещук
Н. С. Орленко
spellingShingle Н. В. Лещук
Н. С. Орленко
Practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> L.
Plant Varieties Studying and Protection
cutting lettuce
variety
morphological characters
collection
selection
distinctness
descriptive statistics
cluster analysis
clustering
Ward’s method
author_facet Н. В. Лещук
Н. С. Орленко
author_sort Н. В. Лещук
title Practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> L.
title_short Practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> L.
title_full Practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> L.
title_fullStr Practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> L.
title_full_unstemmed Practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> L.
title_sort practical aspects of applying statistical analysis of quantitative characters of сutting lettuce varieties var. <em>сapitata</em> l.
publisher Ukrainian Institute for Plant Variety Examination
series Plant Varieties Studying and Protection
issn 2518-1017
2518-7457
publishDate 2017-09-01
description Purpose. To determine and substantiate practical aspects of statistical analysis application for management results of the morphological description of cutting lettuce (Lactuca sativa L.) varieties when identifying them during corresponding phenological phases of growth and development. Methods. Field study, analytical approach based on descriptive statistics and cluster analysis. Results. Quantitative values of display of such morphological characters as leaf rosette diameter, lettuce head size, leaf blade thickness and its venation were determined for the Lactuca sativa L. varieties. Statistical indices of four morphological characters of randomized sampling frame of seven cutting lettuce varie­ties were determined and the results of statistical analysis were interpreted. Cutting lettuce of loose leaf and capitate varieties was identified during corresponding phenological phases of growth and development. The most suitable method for clustering cutting lettuce varieties was defined. The results of clustering were interpreted. It was found that ‘Hodar’ variety differed greatly from others, ‘Dumka’ and ‘Olzhych’ varieties were the most similar. Conclusions. The results of the identification allowed to establish that capitate lettuce varieties were similar in the following combinations: ‘Bona’ and ‘Dyvohray’, ‘Olzhych’ and ‘Dumka’. According to the duration of interphase periods, it can be noted that such varieties as ‘Dumka’ and ‘Dyvohrai’ had the highest rate of maturation in comparison with ‘Bona’ and ‘Hodar’ varieties, and the lowest one as compared to the ‘Olzhych’ variety
topic cutting lettuce
variety
morphological characters
collection
selection
distinctness
descriptive statistics
cluster analysis
clustering
Ward’s method
url http://journal.sops.gov.ua/article/view/110716
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