Abstract
Rosehip (Rosa spp.) is one of the most used non-wood forest products. It is an essential source of antioxidants and vitamin C besides having a wide range of uses in folk medicine and the marmalade industry. Therefore, for many years, researchers have made efforts to find the superior genotypes of this fruit. In previous studies, classical breeding methods were used in the evaluation of the data and more modernist approaches were given little attention. In this study, fruit characteristics and their relationships of rosehip genotypes growing in Bolu city center were determined by using more modernist analysis methods (Clustering, PCA) and correlation analysis. As a result of the study, while fruit weight was positively correlated with fruit size, it had a negative correlation with the fruit flesh ratio. In cluster analysis, genotypes were collected in two different groups, and PCA analysis supported this result. Results of the study proved that multivariate analysis has come to the fore as a highly effective method for evaluating genetic resources. Furthermore, the G-5 genotype stood out with its fruit weight and size.
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