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Morphometric Identification of An Unknown Honey Bee Colony: An Example From North India Cover

Morphometric Identification of An Unknown Honey Bee Colony: An Example From North India

Open Access
|Dec 2024

Abstract

Identification of the honey bee (Apis mellifera) subspecies is an important aspect of bee breeding and biodiversity conservation. The identification can be based on molecular or morphological markers. For some markers, including the cytochrome c oxidase subunit, there is a well-established methodology allowing consistent subspecies identification in different laboratories. In the case of morphological markers, identification is hindered by a lack of reference data and a standardized methodology to reuse it. There is the Morphometric Bee Data Bank in Oberursel, Germany, which provides reliable reference data for many honey bee subspecies; however, it must be expanded and updated. Moreover, there is a need for standardized protocols that allow reliable identification of unknown samples. We show here that reference data for the identification of honey bees based on geometric morphometrics can be saved in an XML file. The information in this file can be easily extracted by other users for the identification of unknown samples. We illustrate this procedure using ten samples from north India. The samples were identified as A. mellifera; next, they were identified as lineage C; and finally, most of the samples had high similarity to honey bees from Croatia and Slovenia. We explained what data is required for such identification and how it can be reused. The method described here works correctly only if the identified species or subspecies is well represented in the reference samples. Without reference data from America, we could not confirm the importation of honey bees to India from this region.

DOI: https://doi.org/10.2478/jas-2024-0013 | Journal eISSN: 2299-4831 | Journal ISSN: 1643-4439
Language: English
Page range: 155 - 166
Submitted on: Sep 26, 2024
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Accepted on: Oct 29, 2024
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Published on: Dec 18, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Hardeep Kaur, Sajad Ahmad Ganie, Adam Tofilski, published by Research Institute of Horticulture
This work is licensed under the Creative Commons Attribution 4.0 License.