Study of Micrometry of Dog Hair of Different Breeds

Authors

  • Shakera Inamdar  Department of Zoology, Modern College of Arts, Science and Commerce, Ganeshkhind, Pune, Maharashtra, India
  • Sagar Kandelkar  Department of Zoology, Modern College of Arts, Science and Commerce, Ganeshkhind, Pune, Maharashtra, India
  • Snehal Baravkar  Department of Zoology, Modern College of Arts, Science and Commerce, Ganeshkhind, Pune, Maharashtra, India
  • Anisha Potale  Department of Zoology, Modern College of Arts, Science and Commerce, Ganeshkhind, Pune, Maharashtra, India
  • Shivani Shinde  Department of Zoology, Modern College of Arts, Science and Commerce, Ganeshkhind, Pune, Maharashtra, India

Keywords:

Micrometry, Morphology, hair follicle.

Abstract

Dogs which belongs to different climatic conditions, different breeds or genetic makeup they have different structure of hair which is related to its thickness and length and other morphological characteristics. Following data is useful for the easy identification of dog breeds form the single hair follicle. Every breed has different characters with respected to its hair these different characters are related to its thickness of hair, size of medulla, size of cortex. These study is helpful for forensic investigations, in some situations of crime scenes forensic team get animal hair through these hair follicle they can detect the dog breed which is provide good clue for crime cases. In both micrometric & histological study of hair of different dog breeds it results particular identities for every dog breed and these identities will be greatly helpful for identification of different dog breed through the single hair follicle of dog.

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Published

2018-02-03

Issue

Section

Research Articles

How to Cite

[1]
Shakera Inamdar, Sagar Kandelkar, Snehal Baravkar, Anisha Potale, Shivani Shinde, " Study of Micrometry of Dog Hair of Different Breeds, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 2, pp.68-74, January-February-2018.