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Iraqi Journal of Veterinary Sciences
Article . 2007 . Peer-reviewed
Data sources: Crossref
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Iraqi Journal of Veterinary Sciences
Article
License: CC BY
Data sources: UnpayWall
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Prevalence of lice infesting goats in Mosul

Authors: T. M. Al-Saffar;

Prevalence of lice infesting goats in Mosul

Abstract

The aim of this study is to find the prevalence and diagnosis species of lice infesting goats in different seasons and different areas and farms in Mosul, and to determine the severity of infestation among 450 native goats during a period of one year. The result of the study revealed that 14.2 % of the examined goats harboured lice or their eggs (nits). Among the infested animals it was reported that 17% were considered as light, 38% moderate and 45% heavy degree of infestation respectively. It was found that the sucking lice Linognathus stenopsis was more predominating than the biting one Bovicola caprae (Damalina caprae). It was observed that the highest degree of infestation was in Winter. Mixed infestation was noticed. The clinical signs in infested goats were itching, emaciation, pale mucous membrane, restless and decrease milk production, hair loss or matted and rough haircut.

Keywords

Veterinary medicine, SF600-1100

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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