Sex identification comparison of barn owls (Tyto alba javanica) using morphological features and molecular-based methods
Autor: | Hasber Salim, Safwan Saufi, Wan Nur Amni, Abu Hassan Ahmad, Shakinah Ravindran, Ghows Azzam, Intan H. Ishak, Cik Mohd Rizuan Zainal Abidin, Noor Hisham Hamid |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
0301 basic medicine barn owls sex identification Tyto alba javanica Zoology Biology 010603 evolutionary biology 01 natural sciences 03 medical and health sciences 030104 developmental biology parasitic diseases morphology lcsh:Zoology Animal Science and Zoology Identification (biology) lcsh:QL1-991 Barn psychological phenomena and processes Nature and Landscape Conservation |
Zdroj: | Slovak Raptor Journal, Vol 12, Iss 1, Pp 47-54 (2018) |
ISSN: | 1338-7227 |
Popis: | 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%). |
Databáze: | OpenAIRE |
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