Evaluation of Clonal Variability of Berry Phenolics in Vitis vinifera L. Cv. Kalecik Karasi

In clonal grapevine populations, genetic factors may have a significant effect on the amount of phenolic compounds in the grape berries. Thus, the capacity of the clones to produce distinctive chromatic profiles can be improved. This paper describes the phenolic contents and composition of grape berries as well as relationships among them for Kalecik Karasi clones to reveal their wine quality potentials. Seven individual polyphenols were quantified using high-performance liquid chromatography. The clones showed a significant difference (5.01 mg kg(-1) protocatechuic acid and 18.80 mg kg(-1) gallic acid) in berry phenolic compounds. Cluster analysis and multidimensional scaling were performed, and results showed that clones were clustered into three groups regarding phenolic compounds in the berries. Based on the phenolic compounds, 18 of the 23 clones were clustered into a group. Clones 16, 13, 8, and 2 were grouped together, while clone 7 was separated from the others. Including and excluding clone 7, approximately 40% phenotypic variation and 80% similarity were observed in 'Kalecik Karasi' clones, respectively. There were positive correlations between clones 2, 6, 7, 9, and 13 and p-coumaric, ferulic, gallic, and protocatechuic acids, as well as between clones 3, 5, 10, 14, 15, 34, 16, 19, and 20 and q-coumaric, vanillic, and syringic acid contents. Thus, it can be stated that multivariate methods can be used for clonal selection, and exclusive clones can be selected with high values of phenolic compounds in the future.

Automated summary

This paper explores the potential wine quality of Kalecik Karasi clones by analyzing the phenolic contents and composition of grape berries. The results show significant differences in phenolic compounds among different clones, and the clones can be clustered into different groups based on these compounds. Positive correlations between certain clones and specific phenolic acids are also observed. These findings suggest that multivariate methods can be used for clonal selection and the selection of clones with high phenolic compounds in the future.