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Bovine mastitis prevalence and associated risk factors in dairy cows in Nyagatare District, Rwanda
In response to farmer requests after milk from their herds was rejected by processors due to poor quality, a study was carried out from April to October 2011 to determine the prevalence of subclinical mastitis, associated risk factors and causative micro-organisms. Samples were collected from 195 da...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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AOSIS OpenJournals
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138073/ https://www.ncbi.nlm.nih.gov/pubmed/26244583 http://dx.doi.org/10.4102/jsava.v86i1.1228 |
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author | Iraguha, Blaise Hamudikuwanda, Humphrey Mushonga, Borden |
author_facet | Iraguha, Blaise Hamudikuwanda, Humphrey Mushonga, Borden |
author_sort | Iraguha, Blaise |
collection | PubMed |
description | In response to farmer requests after milk from their herds was rejected by processors due to poor quality, a study was carried out from April to October 2011 to determine the prevalence of subclinical mastitis, associated risk factors and causative micro-organisms. Samples were collected from 195 dairy cows on 23 randomly selected dairy farms delivering milk to Isangano, Kirebe and Nyagatare milk collection centres in Nyagatare District, Rwanda. The Draminsk(®) Mastitis Detector was used to detect subclinical mastitis in individual cows based on milk electrical conductivity changes. Risk factors for mastitis that were evaluated included teat-end condition, cow dirtiness, breed, parity, age and stage of lactation. Relationships of these factors with mastitis status were determined using Chi-square analysis, and relative importance as causes of mastitis was assessed using logistic regression. Samples from 16 subclinical mastitis positive dairy cows were analysed to identify causative micro-organisms using Dairy Quality Control Inspection analytical kits. Subclinical mastitis prevalence was 52% across the farms. It was higher with increases in, amongst other risk factors, teat-end damage severity, cow dirtiness, and level of pure dairy breed genetics. The risk factors considered accounted for 62% of mastitis prevalence; teat-end condition alone accounted for 30%. Most of the mastitis cases (87.5%) were caused by coliform bacteria. Considering that farmers are upgrading their local Ankole cows to cross-breed dairy cows that are more susceptible to mastitis, results from this study indicate the need to dip the teats of cows in sanitisers, improve cow hygiene, and introduce mastitis prevention and control programmes. |
format | Online Article Text |
id | pubmed-6138073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | AOSIS OpenJournals |
record_format | MEDLINE/PubMed |
spelling | pubmed-61380732018-09-26 Bovine mastitis prevalence and associated risk factors in dairy cows in Nyagatare District, Rwanda Iraguha, Blaise Hamudikuwanda, Humphrey Mushonga, Borden J S Afr Vet Assoc Original Research In response to farmer requests after milk from their herds was rejected by processors due to poor quality, a study was carried out from April to October 2011 to determine the prevalence of subclinical mastitis, associated risk factors and causative micro-organisms. Samples were collected from 195 dairy cows on 23 randomly selected dairy farms delivering milk to Isangano, Kirebe and Nyagatare milk collection centres in Nyagatare District, Rwanda. The Draminsk(®) Mastitis Detector was used to detect subclinical mastitis in individual cows based on milk electrical conductivity changes. Risk factors for mastitis that were evaluated included teat-end condition, cow dirtiness, breed, parity, age and stage of lactation. Relationships of these factors with mastitis status were determined using Chi-square analysis, and relative importance as causes of mastitis was assessed using logistic regression. Samples from 16 subclinical mastitis positive dairy cows were analysed to identify causative micro-organisms using Dairy Quality Control Inspection analytical kits. Subclinical mastitis prevalence was 52% across the farms. It was higher with increases in, amongst other risk factors, teat-end damage severity, cow dirtiness, and level of pure dairy breed genetics. The risk factors considered accounted for 62% of mastitis prevalence; teat-end condition alone accounted for 30%. Most of the mastitis cases (87.5%) were caused by coliform bacteria. Considering that farmers are upgrading their local Ankole cows to cross-breed dairy cows that are more susceptible to mastitis, results from this study indicate the need to dip the teats of cows in sanitisers, improve cow hygiene, and introduce mastitis prevention and control programmes. AOSIS OpenJournals 2015-07-14 /pmc/articles/PMC6138073/ /pubmed/26244583 http://dx.doi.org/10.4102/jsava.v86i1.1228 Text en © 2015. The Authors http://creativecommons.org/licenses/by/2.0/ Licensee: AOSIS OpenJournals. This work is licensed under the Creative Commons Attribution License. |
spellingShingle | Original Research Iraguha, Blaise Hamudikuwanda, Humphrey Mushonga, Borden Bovine mastitis prevalence and associated risk factors in dairy cows in Nyagatare District, Rwanda |
title | Bovine mastitis prevalence and associated risk factors in dairy cows in Nyagatare District, Rwanda |
title_full | Bovine mastitis prevalence and associated risk factors in dairy cows in Nyagatare District, Rwanda |
title_fullStr | Bovine mastitis prevalence and associated risk factors in dairy cows in Nyagatare District, Rwanda |
title_full_unstemmed | Bovine mastitis prevalence and associated risk factors in dairy cows in Nyagatare District, Rwanda |
title_short | Bovine mastitis prevalence and associated risk factors in dairy cows in Nyagatare District, Rwanda |
title_sort | bovine mastitis prevalence and associated risk factors in dairy cows in nyagatare district, rwanda |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138073/ https://www.ncbi.nlm.nih.gov/pubmed/26244583 http://dx.doi.org/10.4102/jsava.v86i1.1228 |
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