Evaluation of the tobacco genotypes by seed productivity
K.P. Leonova, A.V. Morgun, H.M. Hospodarenko, V.V. Ketskalo, S.P. Kotsyuba, V.I. Nevlad
The results of evaluation of 30 collection varieties of tobacco on podzolized chernozem in the conditions of the Right-Bank Forest-Steppe of Ukraine at the Tobacco Research Station of the National Scientific Centre «Institute of Agriculture of the National Academy of Agrarian Sciences of Ukraine» by a set of basic morphological and economically valuable features with the aim of the parent pairs selecting for hybridization have been presented in the article. The sources of valuable features that will be involved in the selection-and-seed process for the creation of new competitive varieties and hybrids of tobacco in the soil-and-climatic conditions of the Right-Bank Forest-Steppe of Ukraine have been identified. Factor and cluster analysis of tobacco varieties which allowed obtaining a comprehensive evaluation by their complex of studied features was carried out. The application of the factor analysis in the process of synchronous study of the features influence on the seed productivity of all studied varieties showed that they can be divided into three clusters, which sufficiently explain 73.32% of their total variation. The application of the factor analysis gave the possibility to determine the main features, on which the formation of the seed productivity depends - inflorescence density, capsules amount in the inflorescence, seeds weight from the inflorescence and seed yield. Three clusters containing information on the level of features formation by to the complex of the seed productivity elements of the plants were specified according to the results of the cluster analysis of the factor values of the collection tobacco varieties. The third cluster including eight tobacco varieties: Ternopilskyi 7, Ternopilskyi 14, Krupnolystyi 52, Hostrolyst Zhovtyi 3, Hostrolyst Yuvileinyi novyi, Bravyi 200, Virginia 27, Temp 321 had a selection value.
Keywords: Tobacco; Source material; Morphological features; Economically valuable features; Factor analysis; Cluster analysis
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