Cargando…
Prevalence of Subclinical Mastitis and Distribution of Pathogens in Dairy Farms of Rubavu and Nyabihu Districts, Rwanda
A cross-sectional study was conducted from May 2016 to January 2017 in Rubavu and Nyabihu districts, Western Rwanda, aiming at estimating the prevalence of subclinical mastitis (SCM) and identifying its causative bacteria. Management practices and milking procedures were recorded through a questionn...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535704/ https://www.ncbi.nlm.nih.gov/pubmed/28798952 http://dx.doi.org/10.1155/2017/8456713 |
_version_ | 1783253892538040320 |
---|---|
author | Mpatswenumugabo, J. P. Bebora, L. C. Gitao, G. C. Mobegi, V. A. Iraguha, B. Kamana, O. Shumbusho, B. |
author_facet | Mpatswenumugabo, J. P. Bebora, L. C. Gitao, G. C. Mobegi, V. A. Iraguha, B. Kamana, O. Shumbusho, B. |
author_sort | Mpatswenumugabo, J. P. |
collection | PubMed |
description | A cross-sectional study was conducted from May 2016 to January 2017 in Rubavu and Nyabihu districts, Western Rwanda, aiming at estimating the prevalence of subclinical mastitis (SCM) and identifying its causative bacteria. Management practices and milking procedures were recorded through a questionnaire. 123 crossbreed milking cows from 13 dairy farms were randomly selected and screened for SCM using California Mastitis Test (CMT). Composite CMT positive milk samples were processed for bacterial isolation and identification. The overall SCM prevalence at cow level was 50.4%. 68 bacterial isolates were identified by morphological and biochemical characteristics. They included, Coagulase Negative Staphylococci (51.5%), Staphylococcus aureus (20.6%), Streptococcus species (10.3%), Bacillus species (10.3%), Streptococcus agalactiae (5.8%), and Escherichia coli (1.5%). About 67.1% of the farmers checked for mastitis; of these, 58.9% relied on clinical signs and only 6.8% screened with CMT. Only 5.5% and 2.7% of the farmers tried to control mastitis using dry cow therapy and teat dips, respectively. Thus, to reduce the prevalence of SCM, farmers in the study area need to be trained on good milking practices, including regular use of teat dips, application of dry cow therapy, and SCM screening. This will improve their sales and their financial status. |
format | Online Article Text |
id | pubmed-5535704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-55357042017-08-10 Prevalence of Subclinical Mastitis and Distribution of Pathogens in Dairy Farms of Rubavu and Nyabihu Districts, Rwanda Mpatswenumugabo, J. P. Bebora, L. C. Gitao, G. C. Mobegi, V. A. Iraguha, B. Kamana, O. Shumbusho, B. J Vet Med Research Article A cross-sectional study was conducted from May 2016 to January 2017 in Rubavu and Nyabihu districts, Western Rwanda, aiming at estimating the prevalence of subclinical mastitis (SCM) and identifying its causative bacteria. Management practices and milking procedures were recorded through a questionnaire. 123 crossbreed milking cows from 13 dairy farms were randomly selected and screened for SCM using California Mastitis Test (CMT). Composite CMT positive milk samples were processed for bacterial isolation and identification. The overall SCM prevalence at cow level was 50.4%. 68 bacterial isolates were identified by morphological and biochemical characteristics. They included, Coagulase Negative Staphylococci (51.5%), Staphylococcus aureus (20.6%), Streptococcus species (10.3%), Bacillus species (10.3%), Streptococcus agalactiae (5.8%), and Escherichia coli (1.5%). About 67.1% of the farmers checked for mastitis; of these, 58.9% relied on clinical signs and only 6.8% screened with CMT. Only 5.5% and 2.7% of the farmers tried to control mastitis using dry cow therapy and teat dips, respectively. Thus, to reduce the prevalence of SCM, farmers in the study area need to be trained on good milking practices, including regular use of teat dips, application of dry cow therapy, and SCM screening. This will improve their sales and their financial status. Hindawi 2017 2017-07-17 /pmc/articles/PMC5535704/ /pubmed/28798952 http://dx.doi.org/10.1155/2017/8456713 Text en Copyright © 2017 J. P. Mpatswenumugabo et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Mpatswenumugabo, J. P. Bebora, L. C. Gitao, G. C. Mobegi, V. A. Iraguha, B. Kamana, O. Shumbusho, B. Prevalence of Subclinical Mastitis and Distribution of Pathogens in Dairy Farms of Rubavu and Nyabihu Districts, Rwanda |
title | Prevalence of Subclinical Mastitis and Distribution of Pathogens in Dairy Farms of Rubavu and Nyabihu Districts, Rwanda |
title_full | Prevalence of Subclinical Mastitis and Distribution of Pathogens in Dairy Farms of Rubavu and Nyabihu Districts, Rwanda |
title_fullStr | Prevalence of Subclinical Mastitis and Distribution of Pathogens in Dairy Farms of Rubavu and Nyabihu Districts, Rwanda |
title_full_unstemmed | Prevalence of Subclinical Mastitis and Distribution of Pathogens in Dairy Farms of Rubavu and Nyabihu Districts, Rwanda |
title_short | Prevalence of Subclinical Mastitis and Distribution of Pathogens in Dairy Farms of Rubavu and Nyabihu Districts, Rwanda |
title_sort | prevalence of subclinical mastitis and distribution of pathogens in dairy farms of rubavu and nyabihu districts, rwanda |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5535704/ https://www.ncbi.nlm.nih.gov/pubmed/28798952 http://dx.doi.org/10.1155/2017/8456713 |
work_keys_str_mv | AT mpatswenumugabojp prevalenceofsubclinicalmastitisanddistributionofpathogensindairyfarmsofrubavuandnyabihudistrictsrwanda AT beboralc prevalenceofsubclinicalmastitisanddistributionofpathogensindairyfarmsofrubavuandnyabihudistrictsrwanda AT gitaogc prevalenceofsubclinicalmastitisanddistributionofpathogensindairyfarmsofrubavuandnyabihudistrictsrwanda AT mobegiva prevalenceofsubclinicalmastitisanddistributionofpathogensindairyfarmsofrubavuandnyabihudistrictsrwanda AT iraguhab prevalenceofsubclinicalmastitisanddistributionofpathogensindairyfarmsofrubavuandnyabihudistrictsrwanda AT kamanao prevalenceofsubclinicalmastitisanddistributionofpathogensindairyfarmsofrubavuandnyabihudistrictsrwanda AT shumbushob prevalenceofsubclinicalmastitisanddistributionofpathogensindairyfarmsofrubavuandnyabihudistrictsrwanda |