Search

A comparative phenological evaluation of a group of 32 vine varieties for white wines has been carried out. It has been found through the application of cluster analysis, PCA and factor analysis that, depending on the duration of the separate phenophases and periods in days, the studied varieties are grouped into four clusters. The phenological indicators are transformed into three factors, with a different degree of influence on the grouping of varieties, which explain 74% of the total variation. The most important for the grouping of varieties are the phenophase berry growth, and the periods flowering - berry softening and berry softening - technological maturity. In order to increase the efficiency of selection, it is advisable to cross varieties for white wines characterized by optimal phenological parameters, and belonging to clusters most remote from each other. [ABSTRACT FROM AUTHOR]

The degree of the phenotypic similarity and differences between 61 seedless vine varieties was studied by grouping them according to economically important phenological, agrobiological and technological indicators. A multidimensional statistical approach is applied - a cluster analysis, which provides possibilities of establishing relatively homogeneous groups (clusters), based on a set of certain indicators. As the cluster analysis does not perform any tests for the statistical significance of the results, it is combined with a factor analysis, which provides information on the reasons leading to the distribution of the individual varieties in different clusters and the merging of others into one cluster. The applied factor analysis transformed all the studied indicators into seven main components, explaining 76% of the total variance. The transformation of these traits to the corresponding number of factors and the indicators in them, which explain that the varieties belong to the separate clusters, was established. The limits of the phenotypic similarity and differences between the studied seedless vine varieties and the conditional parameters of the polymorphism with their economically significant ampelographic characteristics were determined. The presented grouping can be used for taxonomic purposes, as well as in the selection to create new seedless vine varieties. By applying targeted agro-technical measures, the desired change in the indicators of the first and second factors in the individual groups of traits can be actively influenced. [ABSTRACT FROM AUTHOR]

Agro-morphological traits of five Virginia tobacco hybrid combinations and standard Virginia 0514 were analyzed. The aim of the study was to group and evaluate hybrid combinations by stem height (SH), leaf number (LN), length of 12th leaf (LL), width of the 12th leaf (WL), days to 50% flowering (D50F), dry leaf yield. Hierarchical cluster analysis and analysis of the main components were applied. The grouping of hybrids in clusters found that Hybrid 27, Hybrid 33 and Hybrid 126 with a common parent component Virginia 385 have larger leave size and higher dry leaf yield, which determines not only their differentiation into a separate cluster, but also their strong distance from the other two hybrids and the Virginia 0514 standard. The Hybrid 126 has the longest growing season. The studied traits were transformed into two factors. The first includes length of 12th leaf and width of the 12th leaf, days to 50% flowering and dry leaf yield and explains 42.8% of the total variance. The second main component consists of plant height and leaf number, explains 32.5%. As a result of the study it was proved that the most effective would be the selection activity, aimed at the selection in the population of the second cluster on the grounds - length and width of the 12th leaf, dry leaf yield and days to 50% flowering. [ABSTRACT FROM AUTHOR]

The subject of this study is the following genotypes of cornel-tree: Pancharevski cylindrical, Atkov, Kazanlashki pearshaped, Vrachanski (Castel), Shandrian, Tsarigradski yellow, Yellow Hadzhiyski, Shumenski oblong and Yaltenski. They were grouped and assessed according to their genetic remoteness with respect to the pomological parameters: weight (g), length (mm) and width (mm) of the fruit as well as length of the stem (mm), weight (g), length (mm) and width (mm) of the stone. Hierarchical cluster analysis and factor analysis were applied for the processing of the experimental data. As a result of analyzes, the studied genotypes were found to be grouped into four clusters. The main indicators influencing the genotyping are: length of the fruit, length of the stem, weight and the length of the stone. The most distant genetically are Yaltenski and Shumenski oblong, on one side, and Pancharevski cylindrical and Atkov, on the other. [ABSTRACT FROM AUTHOR]