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Recognition software successfully aids the identification of individual small-spotted catsharks Scyliorhinus canicula during their first year of life

Authors :
Natasha Allen
Daniel M. Ripley
Samantha A. Hook
Timo Moritz
Holly A. Shiels
Charlotte McMurray
Bianka Grunow
Source :
Hook, S A, McMurray, C, Ripley, D M, Allen, N, Moritz, T, Grunow, B & Shiels, H A 2019, ' Recognition software successfully aids the identification of individual small-spotted catsharks Scyliorhinus canicula during their first year of life ', Journal of Fish Biology . https://doi.org/10.1111/jfb.14166, Journal of Fish Biology
Publication Year :
2019

Abstract

Eighteen captive small-spotted catsharks Scyliorhinus canicula were successfully identified from hatching to 1 year of age using the free computer recognition software, I3S classic. The effect of increasing the time interval between recognition attempts on the accuracy of the software was investigated, revealing that recognition fiedelity decreases with increasing time intervals for younger (0 to 15 weeks), but not older (15 weeks onwards) sharks. Identification by I3S was validated using genetic analyses of seven microsatellite markers, revealing a 100% success rate. Thus, this non-invasive recognition method can be used as an inexpensive and effective alternative to invasive tagging, improving animal welfare and complementing ex-situ conservation methods.

Details

Language :
English
Database :
OpenAIRE
Journal :
Hook, S A, McMurray, C, Ripley, D M, Allen, N, Moritz, T, Grunow, B & Shiels, H A 2019, ' Recognition software successfully aids the identification of individual small-spotted catsharks Scyliorhinus canicula during their first year of life ', Journal of Fish Biology . https://doi.org/10.1111/jfb.14166, Journal of Fish Biology
Accession number :
edsair.doi.dedup.....d91b727ca3d22e4eb235bed171f93b20
Full Text :
https://doi.org/10.1111/jfb.14166