scholarly journals Epidemiology of Subclinical Mastitis and Their Antibacterial Susceptibility in Smallholder Dairy Farms, Chiang Mai Province, Thailand

2011 ◽  
Vol 10 (3) ◽  
pp. 316-321 ◽  
Author(s):  
Witaya Suriyasath
Keyword(s):  
Dairy Farms ◽  
Subclinical Mastitis ◽  
Chiang Mai ◽  
Antibacterial Susceptibility ◽  
Chiang Mai Province ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farms

scholarly journals Prevalence of clinical and subclinical mastitis and quality of milk on smallholder dairy farms in Tanzania

2009 ◽  
Vol 80 (3) ◽  
Author(s):  
R.H. Mdegela ◽  
R. Ryoba ◽  
E.D. Karimuribo ◽  
E.J. Phiri ◽  
T. Loken ◽  
...  
Keyword(s):  
Antimicrobial Agents ◽  
Dairy Farms ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Milk Quality ◽  
Herd Level ◽  
Milk Samples ◽  
Antimicrobial Residues ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farms

A cross sectional study was conducted during October and November 2006 on 69 smallholder dairy farms with lactating cows in Mvomero and Njombe districts Tanzania, to determine the prevalence of mastitis and to assess the milk quality on the study farms. Clinical mastitis was investigated using clinical changes of udder and milk at animal level. Cow-side California Mastitis Test (CMT) and microbiological cultures were used to assess subclinical mastitis at quarter level. Milk quality was determined on bulk milk samples at herd level using alcohol and acidity tests, butter fat content, total solids, ash content as well as Delvotest® for antimicrobial residues. Overall prevalence of clinical mastitis at herd level in both districts was 21.7 % (n = 69). Based on CMT, prevalence of subclinical mastitis at animal level was 51.6 % (n = 91). Prevalence of bacterial isolates at animal level was 35.2 % (n = 91) while for fungal it was 16.7 % (n = 90). Based on CMT results, prevalence of subclinical mastitis at quarter level was 30 % (n = 353), while for bacteria and fungi it was 16 % and 6 % respectively. Contamination of milk with antimicrobial residues was 4.5 % (n =67). The milk quality parameters for most of the milk samples were within acceptable levels. Findings in this study have demonstrated high prevalence of subclinical mastitis that may contribute to low productivity of dairy cattle in both districts. About 20 % of CMT subclinical cases had no involvement of microbial pathogens that suggested the need for minimal interventions with antimicrobial agents. These findings call for use of udder disinfectants and improved milking hygiene as intervention strategies to control mastitis on the smallholder dairy farms in Tanzania.

Clinical and subclinical mastitis in smallholder dairy farms in Tanzania: Risk, intervention and knowledge transfer

2006 ◽  
Vol 74 (1) ◽  
pp. 84-98 ◽  
Author(s):  
E.D. Karimuribo ◽  
J.L. Fitzpatrick ◽  
C.E. Bell ◽  
E.S. Swai ◽  
D.M. Kambarage ◽  
...  
Keyword(s):  
Knowledge Transfer ◽  
Dairy Farms ◽  
Subclinical Mastitis ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farms

scholarly journals Risk Factors Associated With Mastitis in Smallholder Dairy Farms in Southeast Brazil

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 2089
Author(s):  
Aline Callegari Silva ◽  
Richard Laven ◽  
Nilson Roberti Benites
Keyword(s):  
Risk Factors ◽  
Potential Risk ◽  
Dairy Farms ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Smallholder Farms ◽  
Increased Risk ◽  
Potential Risk Factors ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farms

The aim of this study was to investigate the potential risk factors for clinical and subclinical mastitis in smallholder dairy farms in Brazil. A prospective, repeated cross-sectional study was carried out between May 2018 and June 2019 on 10 smallholder dairy farms. Potential risk factors for subclinical and clinical mastitis at the herd and cow level were recorded through interviewing the owner and by observation. A combination of clinical udder examination and the Tamis (screened mug with a dark base) test (Tadabras Indústria e Comércio de Produtos Agrovetereinário LTDA, Bragrança Paulista, SP, Brazil) were applied to observe clinical mastitis, and the California Mastitis Test (Tadabras Indústria e Comércio de Produtos Agrovetereinário LTDA, Bragrança Paulista, SP, Brazil) was used to determine subclinical mastitis. A total of 4567 quarters were tested, 107 (2.3%) had clinical mastitis, while 1519 (33.2%) had subclinical mastitis. At the cow level, clinical mastitis risk was highest in mid-lactation (50–150 days in milk) with OR 2.62 with 95% confidence interval (CI) of 1.03–6.67, while subclinical mastitis was highest in late lactation (> 150 days in milk) with OR 2.74 (95% CI 2.05–3.63) and lower in primiparous (OR 0.54, 95% CI 0.41–0.71) than multiparous cows. At the herd level, using dry-cow treatment (OR 4.23, 95% CI 1.42–12.62) was associated with an increased risk of clinical mastitis. Milking clinical (OR 0.37, 95% CI 0.24–0.56) and subclinical cases last (OR 0.21, 95% CI 0.09–0.47) and cleaning the milking parlor regularly (OR 0.27, 95% CI 0.15–0.46) had decreased odds for subclinical mastitis, while herds with optimized feed had greater odds (OR 9.11, 95% CI 2.59–31.9). Prevalence of clinical mastitis was at its lowest at the first visit in June/July and highest at the last visit in April/June (OR 3.81, 95% CI 1.93–7.52). Subclinical mastitis also presented increased odds in the last visit (OR 2.62, 95% CI 2.0–3.36). This study has identified some risk factors for mastitis on smallholder farms but further research on more farms across more areas of Brazil is required to develop a targeted mastitis control program for smallholder farms.

scholarly journals Understanding variability in greenhouse gas emission estimates of smallholder dairy farms in Indonesia

2021 ◽  
Author(s):  
Titis Apdini ◽  
Windi Al Zahra ◽  
Simon J. Oosting ◽  
Imke J. M. de Boer ◽  
Marion de Vries ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Rainy Season ◽  
Greenhouse Gas Emission ◽  
Dairy Farms ◽  
Dry Season ◽  
Enteric Fermentation ◽  
Tropical Regions ◽  
Population Mean ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farms

Abstract Purpose Life cycle assessment studies on smallholder farms in tropical regions generally use data that is collected at one moment in time, which could hamper assessment of the exact situation. We assessed seasonal differences in greenhouse gas emissions (GHGEs) from Indonesian dairy farms by means of longitudinal observations and evaluated the implications of number of farm visits on the variance of the estimated GHGE per kg milk (GHGEI) for a single farm, and the population mean. Methods An LCA study was done on 32 smallholder dairy farms in the Lembang district area, West Java, Indonesia. Farm visits (FVs) were performed every 2 months throughout 1 year: FV1–FV3 (rainy season) and FV4–FV6 (dry season). GHGEs were assessed for all processes up to the farm-gate, including upstream processes (production and transportation of feed, fertiliser, fuel and electricity) and on-farm processes (keeping animals, manure management and forage cultivation). We compared means of GHGE per unit of fat-and-protein-corrected milk (FPCM) produced in the rainy and the dry season. We evaluated the implication of number of farm visits on the variance of the estimated GHGEI, and on the variance of GHGE from different processes. Results and discussion GHGEI was higher in the rainy (1.32 kg CO2-eq kg−1 FPCM) than in the dry (0.91 kg CO2-eq kg−1 FPCM) season (P < 0.05). The between farm variance was 0.025 kg CO2-eq kg−1 FPCM in both seasons. The within farm variance in the estimate for the single farm mean decreased from 0.69 (1 visit) to 0.027 (26 visits) kg CO2-eq kg−1 FPCM (rainy season), and from 0.32 to 0.012 kg CO2-eq kg−1 FPCM (dry season). The within farm variance in the estimate for the population mean was 0.02 (rainy) and 0.01 (dry) kg CO2-eq kg−1 FPCM (1 visit), and decreased with an increase in farm visits. Forage cultivation was the main source of between farm variance, enteric fermentation the main source of within farm variance. Conclusions The estimated GHGEI was significantly higher in the rainy than in the dry season. The main contribution to variability in GHGEI is due to variation between observations from visits to the same farm. This source of variability can be reduced by increasing the number of visits per farm. Estimates for variation within and between farms enable a more informed decision about the data collection procedure.

scholarly journals Short communication: Genetic analysis for fertility traits of heifers and cows from smallholder dairy farms in a tropical environment

2015 ◽  
Vol 98 (7) ◽  
pp. 4990-4998 ◽  
Author(s):  
S. Buaban ◽  
M. Duangjinda ◽  
M. Suzuki ◽  
Y. Masuda ◽  
J. Sanpote ◽  
...  
Keyword(s):  
Genetic Analysis ◽  
Short Communication ◽  
Dairy Farms ◽  
Tropical Environment ◽  
Smallholder Dairy ◽  
Fertility Traits ◽  
Smallholder Dairy Farms
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