Comparative analysis of wild and domestic animals hair species

• Published in: IOP Conference Series: Earth and Environmental Science
• Main Authors: Derunov, D, Chasovskih, O, Sukhih, O, Buldakova, K, Kokorina, A
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: IOP Publishing 2021
• Subjects: Canis lupus
• Online Access: http://dx.doi.org/10.1088/1755-1315/677/4/042007; https://iopscience.iop.org/article/10.1088/1755-1315/677/4/042007; https://iopscience.iop.org/article/10.1088/1755-1315/677/4/042007/pdf

Abstract The article reveals the search for a fast and reliable techniques for identifying hair samples from wild animals, which occur during an expert evaluation in the Amur branch of WWF Russia. The relevance of the presented data is that the main methods for determining the species of hair are electron microscopy, analysis by spectrogram or chemical composition of the hair, which is a long-term method and requires special equipment. In practice, the above-root parts of hair are often received for examination, and it is unsuitable for genetic research since some have already passed through the digestive tract. The authors considered the search for a technique that allows analyzing the hair of the Amur tiger (Panthera tigris altaica), Domestic cat (Felis catus domesticus) and Domestic dog (Canis lupus familiaris) in comparison, the method of imprints on gelatin, on a photographic plate, and on a colorless varnish was applied. As a result of the research, one method was chosen for analyzing hair samples on a colorless varnish with subsequent microscopy. Measurements of hair samples were compared in Microsoft Excel, with the construction of charts, using the “trend line” and “linear forecast” functions to predict the average measurement result and “error limits” with the “standard error” function to determine the permissible deviations of measurement results. As a result, we found that samples from different parts of the body of wild and domestic animals are well analyzed in the Microsoft Excel program with the expression of a linear trend, which allows us to determine the permissible deviations of the measurement results.