Multivariate analysis in grapevine genotypes based on fractal dimensions
DOI:
https://doi.org/10.59463/1ep6tr22Keywords:
component loadings, fractal analysis, grapevine, leaf geometry, PCAAbstract
Multivariate analysis was used to study some grapevine genotypes based on fractal parameters of leaf geometry. The following grapevine genotypes were studied: 'Cabernet Sauvignon' (CS), 'Chasselas' (Ch), 'Muscat Hamburg' (MH), 'Muscat Iantarnîi' (MI), 'Muscat Ottonel' (MO), 'Perlă de Csaba' (PC), and 'Victoria' (Vi). A flowchart diagram was generated by the authors, which included the work steps in relation to the purpose of the study. The data series represented a normal distribution. According to the multivariate analysis, fractal parameters loaded differentially on the principal components. In PC1, the following parameters were loaded: the W+BW parameter, with a very strong, positive action (r = 0.952), the B+BW parameter, with a negative action of moderate intensity (r = -0.758) and the BW parameter, with a positive action of moderate intensity (r = 0.753). In PC2, the D1 parameter was loaded, with positive action, of very strong intensity (r = 0.954) and the D2 parameter, with positive action, of very strong intensity (r = 0.943). The genotype 'Perlă de Csaba' (PC) was positioned in correlation with the fractal parameter BW. The genotypes 'Victoria' (Vi), 'Muscat Iantarnîi' (MI) and 'Muscat Hamburg' (MH) were positioned in association with the parameter B+BW. The genotype 'Muscat Ottonel' (MO) was positioned intermediately between the fractal parameters BW and D2. The genotypes 'Cabernet Sauvignon' (CS) and 'Chasselas' (Cs) were positioned independently of fractal parameters considered in the characterization of grapevine leaf geometry. Cluster analysis generated the association dendrograms of the genotypes based on similarity. The recorded results brought useful information in comparative studies of grapevine genotypes, and fractal analysis can represent a useful tool for ampelographic studies in grapevines.
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