Automatic identification of bird females using egg phenotype
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081766%3A_____%2F22%3A00548861" target="_blank" >RIV/68081766:_____/22:00548861 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12310/22:43906062 RIV/00216208:11310/22:10446491 RIV/00216224:14310/22:00125955
Result on the web
<a href="https://academic.oup.com/zoolinnean/advance-article-abstract/doi/10.1093/zoolinnean/zlab051/6357656?redirectedFrom=fulltext" target="_blank" >https://academic.oup.com/zoolinnean/advance-article-abstract/doi/10.1093/zoolinnean/zlab051/6357656?redirectedFrom=fulltext</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/zoolinnean/zlab051" target="_blank" >10.1093/zoolinnean/zlab051</a>
Alternative languages
Result language
angličtina
Original language name
Automatic identification of bird females using egg phenotype
Original language description
Individual identification is crucial for studying animal ecology and evolution. In birds this is often achieved by capturing and tagging. However, these methods are insufficient for identifying individuals/species that are secretive or difficult to catch. Here, we employ an automatic analytical approach to predict the identity of bird females based on the appearance of their eggs, using the common cuckoo (Cuculus canorus) as a model species. We analysed 192 cuckoo eggs using digital photography and spectrometry. Cuckoo females were identified from genetic sampling of nestlings, allowing us to determine the accuracy of automatic (unsupervised and supervised) and human assignment. Finally, we used a novel analytical approach to identify eggs that were not genetically analysed. Our results show that individual cuckoo females lay eggs with a relatively constant appearance and that eggs laid by more genetically distant females differ more in colour. Unsupervised clustering had similar cluster accuracy to experienced human observers, but supervised methods were able to outperform humans. Our novel method reliably assigned a relatively high number of eggs without genetic data to their mothers. Therefore, this is a cost-effective and minimally invasive method for increasing sample sizes, which may facilitate research on brood parasites and other avian species.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10613 - Zoology
Result continuities
Project
<a href="/en/project/GA17-12262S" target="_blank" >GA17-12262S: Reproductive strategies of an obligate brood parasite: host selection, offspring sex allocation and individual success</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Zoological Journal of the Linnean Society
ISSN
0024-4082
e-ISSN
1096-3642
Volume of the periodical
195
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
33-44
UT code for WoS article
000764863400001
EID of the result in the Scopus database
2-s2.0-85132996913