Version 1
: Received: 26 September 2023 / Approved: 27 September 2023 / Online: 28 September 2023 (03:04:38 CEST)
How to cite:
Klakotskaya, N.; Laurson, P.; Libek, A.V.; Kikas, A. Prediction of the Flowering and Ripening Time of Strawberry (Fragaria × ananassa) Cultivars in Estonia by Using the K-Means Clustering Method. Preprints2023, 2023091856. https://doi.org/10.20944/preprints202309.1856.v1
Klakotskaya, N.; Laurson, P.; Libek, A.V.; Kikas, A. Prediction of the Flowering and Ripening Time of Strawberry (Fragaria × ananassa) Cultivars in Estonia by Using the K-Means Clustering Method. Preprints 2023, 2023091856. https://doi.org/10.20944/preprints202309.1856.v1
Klakotskaya, N.; Laurson, P.; Libek, A.V.; Kikas, A. Prediction of the Flowering and Ripening Time of Strawberry (Fragaria × ananassa) Cultivars in Estonia by Using the K-Means Clustering Method. Preprints2023, 2023091856. https://doi.org/10.20944/preprints202309.1856.v1
APA Style
Klakotskaya, N., Laurson, P., Libek, A.V., & Kikas, A. (2023). Prediction of the Flowering and Ripening Time of Strawberry (Fragaria × ananassa) Cultivars in Estonia by Using the K-Means Clustering Method. Preprints. https://doi.org/10.20944/preprints202309.1856.v1
Chicago/Turabian Style
Klakotskaya, N., Asta Virve Libek and Ave Kikas. 2023 "Prediction of the Flowering and Ripening Time of Strawberry (Fragaria × ananassa) Cultivars in Estonia by Using the K-Means Clustering Method" Preprints. https://doi.org/10.20944/preprints202309.1856.v1
Abstract
Finding the ideal statistical method for grouping phenological data is always an important step for breeders to draw correct conclusions from it possibly. In this paper, K-cluster analysis is presented as a perfect tool for grouping phenological data. The present research was performed based on the phenological data of 61 strawberries (Fragaria × ananassa) cultivars of different geo-graphical origins grown in Estonian conditions. Groups of strawberry cultivars were deter-mined according to flowering and ripening time: early, middle and late, based on the sum of ef-fective temperatures above +5°C. The result of the K-cluster analysis carried out in this way makes it possible to precisely plan the ripening time of berries of different strawberry cultivars. Using such analysis data, it is possible to combine with different early, mid or late strawberry cultivars to extend the picking period. Also, this technique can be used to study the effect of cli-matic changes occurring over the years on the phenology of strawberry cultivars grown in the region.
Keywords
strawberry cultivars; a sum of effective temperatures; K-means clustering; phenological growth stages
Subject
Biology and Life Sciences, Horticulture
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
