Author:
Cherevatov V.,Babenko V.,Galatyuk O.,Yarovets V.
Abstract
The aim of the work is to choose the optimal approach for creating a bank of morphometric data for honeybee wings. Using 10 arrays of morphometric data from the wings of worker bees and drones, an analysis of the capabilities of different classification options was conducted using the DAWINO method. It has been demonstrated that the abbreviated version of the DAWINO method, utilizing angles and an alternative approach, using only 8 indices, is equally effective. To create banks of standardized morphometric reference data, it is proposed to use 5 traditional indices and 4 additional ones, allowing for a reliable interpretation of the taxonomy of worker bees and drones.
Publisher
Yuriy Fedkovych Chernivtsi National University