Assessment of the Aim Characteristics of Strawberry <i>(Fragaria × Ananassa)</i> Cultivars in Estonia by Using the K-Means Clustering Method
2023
Natallia Klakotskaya | Peeter Laurson | Asta-Virve Libek | Ave Kikas
Choosing an excellent method to compare the aim characteristics of a large number of cultivars simultaneously in a sufficiently comprehensive way is often an essential challenge for breeders. This article presents the results of a comprehensive assessment of the Estonian conditions of 58 strawberry <i>(Fragaria × ananassa)</i> cultivars of various geographical origins according to the main economically useful markers. Based on two years of data, cultivars were clustered separately for each marker using the K-means clustering method. Considering the data on the aim characteristics, including high yield, high fruit weight, high total soluble solids TSS (°Brix) content, optimal titratable acidity TA (%) content, and a high °Brix/acidity ratio, the groups of similar cultivars formed clearly. The validation of cultivars into similar groups is important for further breeding decisions. A K-means clustering method is ideal for clustering strawberry cultivars according to their characteristics.
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