Matches in SemOpenAlex for { <https://semopenalex.org/work/W2641275890> ?p ?o ?g. }
- W2641275890 endingPage "31" @default.
- W2641275890 startingPage "23" @default.
- W2641275890 abstract "Knowledge of mastitis pathogens and their predominance as well as understanding of risk factors are prerequisites to improve udder health in a herd, region or country. In Ethiopia, such information is scarce, despite the fact that mastitis is an important cattle disease in the country. A cross-sectional study that describes prevalence and causative agents of subclinical mastitis (SCM) as well as risk factors at cow and herd level was conducted on 167 dairy farms in North-West Ethiopia. On average, 33% of the quarters and 62% of the cows were California Mastitis Test (CMT) positive, but the within herd quarter level prevalence ranged between 0 and 100%. A total of 1543 milk samples, being 27 quarters that showed signs of CM, 606 CMT positive quarters and 910 CMT negative quarters were cultured, respectively 40%, 67% and 47% was positive on bacteriological culture. Coagulase negative staphylococci (CNS) (31%) followed by Staphylococcus aureus (9%) were the pathogens most frequently isolated. Based on face-to-face questionnaire data, 35 herd level and 13 cow level factors were evaluated for their association with SCM (based on CMT) and with a positive culture for any bacteria, CNS or S. aureus. Cows with a history of CM, of higher parity, >150 days in milk (DIM) and herds with owners that have >10th grade level of education had higher odds of SCM. The odds of being culture positive for any bacteria was higher in cows with ≥25% Holstein Friesian blood level (HBL), >150 DIM, housed on cemented floors, and milked by squeezing rather than stripping. Similarly, the odds of culturing CNS was higher in cows with 25–50% HBL, >150 DIM, and milked by squeezing. Staphylococcus aureus was more often found in cows with a history of CM and in larger herds. Checking the udder for mastitis, feeding cows according to their requirements and allowing calves to suckle the cows were negatively associated with SCM, with culturing any bacteria and with culturing CNS, respectively. Higher odds of SCM and of culturing CNS were found in herds owned by members of a dairy cooperative. In summary, we identified a high prevalence of SCM and intramammary infections with substantial variation between farms, and we found a number of risk factors explaining this variation. The risk factors for mastitis that were identified in this study can form the basis of an udder health control program specific for the dairy industry in North-West Ethiopia." @default.
- W2641275890 created "2017-06-30" @default.
- W2641275890 creator A5013605904 @default.
- W2641275890 creator A5020776194 @default.
- W2641275890 creator A5074392358 @default.
- W2641275890 creator A5074519024 @default.
- W2641275890 creator A5080770418 @default.
- W2641275890 creator A5091154351 @default.
- W2641275890 date "2017-09-01" @default.
- W2641275890 modified "2023-09-26" @default.
- W2641275890 title "Prevalence of subclinical mastitis and associated risk factors at cow and herd level in dairy farms in North-West Ethiopia" @default.
- W2641275890 cites W1974213187 @default.
- W2641275890 cites W1974972880 @default.
- W2641275890 cites W1976236944 @default.
- W2641275890 cites W1979043955 @default.
- W2641275890 cites W1981211926 @default.
- W2641275890 cites W1989003081 @default.
- W2641275890 cites W1996433062 @default.
- W2641275890 cites W2001876456 @default.
- W2641275890 cites W2008647536 @default.
- W2641275890 cites W2019054465 @default.
- W2641275890 cites W2020413323 @default.
- W2641275890 cites W2023924307 @default.
- W2641275890 cites W2028435062 @default.
- W2641275890 cites W2046783923 @default.
- W2641275890 cites W2051498305 @default.
- W2641275890 cites W2054238981 @default.
- W2641275890 cites W2059157912 @default.
- W2641275890 cites W2059540931 @default.
- W2641275890 cites W2063424651 @default.
- W2641275890 cites W2064899538 @default.
- W2641275890 cites W2079084584 @default.
- W2641275890 cites W2090241331 @default.
- W2641275890 cites W2096532217 @default.
- W2641275890 cites W2109946500 @default.
- W2641275890 cites W2112084208 @default.
- W2641275890 cites W2147868778 @default.
- W2641275890 cites W2197147686 @default.
- W2641275890 cites W223034350 @default.
- W2641275890 cites W280420503 @default.
- W2641275890 cites W33589281 @default.
- W2641275890 cites W93772223 @default.
- W2641275890 doi "https://doi.org/10.1016/j.prevetmed.2017.06.009" @default.
- W2641275890 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28903872" @default.
- W2641275890 hasPublicationYear "2017" @default.
- W2641275890 type Work @default.
- W2641275890 sameAs 2641275890 @default.
- W2641275890 citedByCount "32" @default.
- W2641275890 countsByYear W26412758902017 @default.
- W2641275890 countsByYear W26412758902018 @default.
- W2641275890 countsByYear W26412758902019 @default.
- W2641275890 countsByYear W26412758902020 @default.
- W2641275890 countsByYear W26412758902021 @default.
- W2641275890 countsByYear W26412758902022 @default.
- W2641275890 countsByYear W26412758902023 @default.
- W2641275890 crossrefType "journal-article" @default.
- W2641275890 hasAuthorship W2641275890A5013605904 @default.
- W2641275890 hasAuthorship W2641275890A5020776194 @default.
- W2641275890 hasAuthorship W2641275890A5074392358 @default.
- W2641275890 hasAuthorship W2641275890A5074519024 @default.
- W2641275890 hasAuthorship W2641275890A5080770418 @default.
- W2641275890 hasAuthorship W2641275890A5091154351 @default.
- W2641275890 hasConcept C113280763 @default.
- W2641275890 hasConcept C126322002 @default.
- W2641275890 hasConcept C140793950 @default.
- W2641275890 hasConcept C142724271 @default.
- W2641275890 hasConcept C156957248 @default.
- W2641275890 hasConcept C194775826 @default.
- W2641275890 hasConcept C22641795 @default.
- W2641275890 hasConcept C2776344049 @default.
- W2641275890 hasConcept C2776659692 @default.
- W2641275890 hasConcept C2776921810 @default.
- W2641275890 hasConcept C2779234561 @default.
- W2641275890 hasConcept C2779288629 @default.
- W2641275890 hasConcept C2779489039 @default.
- W2641275890 hasConcept C2780120618 @default.
- W2641275890 hasConcept C42972112 @default.
- W2641275890 hasConcept C523546767 @default.
- W2641275890 hasConcept C54355233 @default.
- W2641275890 hasConcept C71924100 @default.
- W2641275890 hasConcept C8408860 @default.
- W2641275890 hasConcept C86803240 @default.
- W2641275890 hasConceptScore W2641275890C113280763 @default.
- W2641275890 hasConceptScore W2641275890C126322002 @default.
- W2641275890 hasConceptScore W2641275890C140793950 @default.
- W2641275890 hasConceptScore W2641275890C142724271 @default.
- W2641275890 hasConceptScore W2641275890C156957248 @default.
- W2641275890 hasConceptScore W2641275890C194775826 @default.
- W2641275890 hasConceptScore W2641275890C22641795 @default.
- W2641275890 hasConceptScore W2641275890C2776344049 @default.
- W2641275890 hasConceptScore W2641275890C2776659692 @default.
- W2641275890 hasConceptScore W2641275890C2776921810 @default.
- W2641275890 hasConceptScore W2641275890C2779234561 @default.
- W2641275890 hasConceptScore W2641275890C2779288629 @default.
- W2641275890 hasConceptScore W2641275890C2779489039 @default.
- W2641275890 hasConceptScore W2641275890C2780120618 @default.
- W2641275890 hasConceptScore W2641275890C42972112 @default.
- W2641275890 hasConceptScore W2641275890C523546767 @default.