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Sex identification comparison of barn owls (Tyto alba javanica) using morphological features and molecular-based methods

Open Access
|Mar 2019

Abstract

Sexing of barn owls, Tyto alba javanica, using morphological traits has not been accurate enough due to ambiguous sexual dimorphism between sexes. This has been one of the major problems for the management of barn owls worldwide, especially for translocation and captive-breeding programs. In order to increase the success rate of sexing the barn owl, we compared the results of a molecular sexing method to six morphological traits for sexing the owls: the shape and colour of the facial disc, the colour of the throat area, the tail plumage, the colour of their tarsus, the back plumage, and the frequency of spotting on the chest and underside of the wings. The result of our comparison showed that sex identification using morphological traits had an accuracy of only 72.7%. Three of our samples were identified as females using morphological traits, but molecular sexing determined that these samples were males. We also used our results to determine the best morphological traits for sexing barn owls, and concluded that the best traits for morphological sexing are the frequency of spotting on the chest and underparts of barn owls (accuracy of 81.8%), as well as colour of the owls’ facial disc and throat area (accuracy of 63.6%).

DOI: https://doi.org/10.2478/srj-2018-0005 | Journal eISSN: 2644-5247 | Journal ISSN: 1337-3463
Language: English
Page range: 47 - 54
Submitted on: Oct 1, 2018
Accepted on: Dec 15, 2018
Published on: Mar 2, 2019
Published by: Raptor Protection of Slovakia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
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© 2019 Shakinah Ravindran, Safwan Saufi, Wan Nur Amni, Intan Ishak, Noor Hisham Hamid, Cik Mohd Rizuan Zainal Abidin, Abu Hassan Ahmad, Ghows Azzam, Hasber Salim, published by Raptor Protection of Slovakia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.