UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1906255


Registration ID:
214145

Page Number

764-769

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Title

IDENTIFICATION OF DOG BREEDS ON THE BASIS OF MEDULLARY INDEX, SCALE PATTERN AND SCALE COUNT

Abstract

: Presence of hair is a distinguishing character of Class-Mammalia. The microscopic characters, viz. scale pattern, scale count, colour of transverse section, shape of cross section, medullary index, pattern of medulla etc are specific for particular species. Thus hair taxonomic studies, called trichology, can be used in taxonomy, wildlife forensic, archaeology, food habitat studies etc. (Kennedy, 1982; Dagnall et al, 1995). Hair analysis not only identifies species, it can also discriminate the animal breeds. The use of trichology in above sited fields provides excellent reliability, low cost and local breed studies. These will enable the demonstration of adaptability, resistance, hardiness and conservation of breeds (Felix et al., 2014). The present study was carried out to study the potential use, application and develop an identification keys for identifying various breeds of dogs from microscopic analysis of hairs. Since animals are involved in any types of crimes (Pilli et al., 2014), and DNA typing from animals enabled homicide investigations and convictions in U.S. and Canada (Halverson, Forensic identification of canine hairs: is heteroplasmy significant?), hair examinations of dog breeds will enable convictions in wildlife crimes where dogs are most commonly used.

Key Words

Trichology, scale pattern, scale count, medullary index, identification keys, wildlife forensic.

Cite This Article

"IDENTIFICATION OF DOG BREEDS ON THE BASIS OF MEDULLARY INDEX, SCALE PATTERN AND SCALE COUNT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.764-769, June-2019, Available :http://www.jetir.org/papers/JETIR1906255.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IDENTIFICATION OF DOG BREEDS ON THE BASIS OF MEDULLARY INDEX, SCALE PATTERN AND SCALE COUNT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp764-769, June-2019, Available at : http://www.jetir.org/papers/JETIR1906255.pdf

Publication Details

Published Paper ID: JETIR1906255
Registration ID: 214145
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 764-769
Country: NAGPUR, MAHARASHTRA, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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