Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Iraguha, Blaise, Hamudikuwanda, Humphrey, Mushonga, Borden
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS OpenJournals 2015
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
_version_ 1783355280201875456
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
work_keys_str_mv AT iraguhablaise bovinemastitisprevalenceandassociatedriskfactorsindairycowsinnyagataredistrictrwanda
AT hamudikuwandahumphrey bovinemastitisprevalenceandassociatedriskfactorsindairycowsinnyagataredistrictrwanda
AT mushongaborden bovinemastitisprevalenceandassociatedriskfactorsindairycowsinnyagataredistrictrwanda