Document Detail


Prevalence of Eimeria species in cattle in Kenya.
MedLine Citation:
PMID:  2343526     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A total of 620 bovine faecal samples collected from unselected animals brought for post-mortem to the Department of Veterinary Pathology and Microbiology or from animals in the Kabete (Kenya) practice area of the Faculty of Veterinary Medicine were examined to determine the types and prevalence of Eimeria spp. present. Coccidian oocytes were detected in 67.4% of the samples and eight different species of Eimeria were recognized. The species detected (and their prevalence) were E. bovis (79.0%), E. zuernii (60.2%), E. ellipsoidalis (26.1), E. cylindrica (13.4%), E. auburnensis (28.4%), E. alabamensis (10.3%), E. subspherica (5.0%) and E. wyomingensis (6.1%). E. bovis and E. zuernii led to few cases of clinical coccidiosis and the greatest number of E. bovis in one of the samples from the clinical cases was 30,600 oocysts per gram of faeces (OPG). Age and seasonal variation appeared to have an influence on the intensity of infection.
Authors:
W K Munyua; J W Ngotho
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Veterinary parasitology     Volume:  35     ISSN:  0304-4017     ISO Abbreviation:  Vet. Parasitol.     Publication Date:  1990 Feb 
Date Detail:
Created Date:  1990-06-26     Completed Date:  1990-06-26     Revised Date:  2003-11-14    
Medline Journal Info:
Nlm Unique ID:  7602745     Medline TA:  Vet Parasitol     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  163-8     Citation Subset:  IM    
Affiliation:
Department of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, University of Nairobi, Kabete, Kenya.
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MeSH Terms
Descriptor/Qualifier:
Age Factors
Animals
Cattle
Cattle Diseases / epidemiology*
Coccidiosis / epidemiology,  veterinary*
Eimeria / classification,  isolation & purification
Feces / parasitology
Kenya / epidemiology
Prevalence
Seasons

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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