Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Core Technology Facility, Manchester, UK.
Biological Services Facility, University of Manchester, Manchester, UK.
J Fish Biol. 2019 Dec;95(6):1465-1470. doi: 10.1111/jfb.14166. Epub 2019 Nov 6.
Eighteen captive small-spotted catsharks Scyliorhinus canicula were successfully identified from hatching to 1 year of age using the free computer recognition software, I S 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 I S 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.
使用免费的计算机识别软件 I S classic，成功地从孵化到 1 岁对 18 条圈养的小星鲨 Scyliorhinus canicula 进行了鉴定。研究了增加识别尝试之间的时间间隔对软件准确性的影响，结果表明，对于年龄较小的鲨鱼（0 至 15 周），识别保真度随时间间隔的增加而降低，但对于年龄较大的鲨鱼（15 周及以上）则不然。通过对 7 个微卫星标记的遗传分析验证了 I S 的鉴定，结果显示成功率为 100%。因此，这种非侵入性识别方法可以作为侵入性标记的廉价有效替代方法，提高动物福利并补充了原地保护方法。
