Differentation of Scots pine (Pinus sylvestris L.) seed orchard in Gidyle on basin of morphological needles trains

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Differentation of Scots pine (Pinus sylvestris L.) seed orchard in Gidyle on basin of morphological needles trains

Journal Title: Acta Biologica - Year 2016, Vol 23, Issue

Abstract

The subject of this study was to analyse the variation of Scots pine (Pinus sylvestris L.) seed orchard with regard to a complex of 9 morpho-anatomical traits of needles. The following measurements were carried out: needle length, number of resin canals, thickness of needle epidermis on adaxial side, mean width of needle epidermis cells on adaxial side, needle cross-section width, needle cross-section thickness, ratio of needle cross-section height to its cross-section width, or the. ratio of traits 6 to 5, distance of vascular bundles (in μm), Marcet’s coefficient, i.e. cross-section width x distance of vascular bundles divided by cross-section thickness, or trait 5 x trait 8 divided by trait 6. The intra-population variation of 150 Scots pine (Pinus sylvestris L.) clones form a seed orchard in Giedyle, Orneta Forest District in the Regional Directorate of State Forests in Olsztyn, was examined. The applied complex of traits was evaluated using a test of discriminatory power and the characterisations of traits and coefficients of correlation between them were calculated, as well as the degree of participation of particular traits in the construction of canonical values was assessed. The data being obtained from biometrical examination were the basis to perform statistical analyses: multivariate analysis of variance together with testing of statistical hypotheses and canonical variate analysis. The Mahalanobis distance between the trees was set and, based on their shortest values, a dendrite was constructed. With the method of agglomerative clustering, which is based on the nearest neighbourhood, the population homogeneity was examined. The Marcet’s coefficient and the distance between vascular bundles were found to be the traits which differentiate the population under stud y the best.

Authors and Affiliations

Renata Słonimska-Walkowiak, Maria Krzakowa

Keywords

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EP ID EP171339
DOI DOI: 10.18276/ab.2016.23-09
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