Prevalence Of Subclinical Mastitis Research Articles

Etiology and antimicrobial resistance of subclinical mastitis pathogens Staphylococcus aureus, Streptococcus spp. and Enterococcus spp. in sheep milk.

The present study investigates the prevalence and etiology of subclinical mastitis in Țurcana sheep flocks located in south-western Romania. Milchtest and California Mastitis Test (CMT), were used for the detection of subclinical mastitis. A number of 360 milk samples across three lactation phases were analyzed. Subclinical mastitis was identified in 146 (40.6%) of sheep milk samples. Only milk samples (n = 146) collected from sheep diagnosed with subclinical mastitis were considered for microbiological analyses. Thus, Staphylococcus aureus (129/146; 88.4%) was identified as the predominant pathogen followed by Streptococcus spp. (14/146; 9.6%) Enterococcus spp. (7/146; 4.8%), Pseudomonas aeruginosa (6/146; 4.1%) and Klebsiella pneumoniae (5/146; 3.4%). Antimicrobial susceptibility of isolated strains of Staphylococcus aureus, Streptococcus spp. and Enterococcus spp. was also tested. The results showed varying resistance patterns depending on the farm and microorganism. In heard A the highest resistance of Staphylococcus aureus was identified to polymyxin B (79.7%) followed by novobiocin (73.4%) and tetracycline (45.3%); Streptococcus spp. to streptomycin (100%), novobiocin (100%), tetracycline (100%) and Enterococcus spp. to tylosin (100%), streptomycin (75.0%) and tetracycline (75.0%). In herd B, Staphylococcus aureus showed high resistance rates to polymyxin B (86.3%), novobiocin (74.5%) and cloxacillin (39.2%); Streptococcus spp. strains to streptomycin (100%), novobiocin (100%), tetracycline (100%) and Enterococcus spp. to gentamicin (100%), streptomycin (66.7%) and erythromycin (66.7%). The obtained preliminary results indicate a potential risk that future treatments of sheep mastitis may not be effective, and demonstrated that raw unpasteurized milk can harbor antimicrobial resistance pathogens posing a threat to public health. However, further investigations involving molecular research on resistance genes are required to draw comprehensive conclusions.

Prevalence, Risk Factors, and Antimicrobial Resistance of Staphylococcus and Streptococcus Species Isolated from Subclinical Bovine Mastitis.

Subclinical mastitis (SCM) is a prevalent serious disease among dairy cows worldwide. It poses a significant challenge to the dairy industry, animal welfare, and a threat to public health. The present study aimed to investigate the molecular detection, prevalence, and antimicrobial resistance of Staphylococcus spp. and Streptococcus spp. isolated from raw composite milk samples obtained from SCM dairy cattle in Bangladesh. A total of 612 quarters milk samples obtained from 153 cows were analyzed for SCM using the California Mastitis Test. Bacterial isolation and identification were carried out and bacterial species were confirmed using molecular polymerase chain reaction methods. Antimicrobial susceptibility testing was performed using disc diffusion method. The findings revealed that the prevalence of SCM was 70.3% (26/37), 35.95% (55/153), and 23.04% (141/612) in the herd, cow, and quarter levels, respectively. Among the positive samples, 92.7% (51/55) were Staphylococcus spp. (S. aureus, S. chromogenes, and S. simulans) and the remaining isolates were 7.3% (4/55) Streptococcus spp. (Streptococcus agalactiae and Streptococcus dysgalactiae). The most prevalent species was S. chromogenes, accounting for 67.3% (37/55). Antimicrobial susceptibility testing showed that 65.5% of isolates were susceptible to cefoxitin, whereas, 89.1% were resistant to penicillin. Overall, 12 isolates (21.8%) out of 55 were resistant to more than three classes of antimicrobials and were defined as multidrug-resistant isolates. Methicillin-resistance gene was detected in 61.1% of the cefoxitin-resistant isolates. A multivariate logistic regression analysis identified five potential risk factors including the lack of post-milking teat disinfection (OR: 3.06), absence of immediate feeding after milking (OR: 9.81), poor udder hygiene (OR: 7.83), tick infestation (OR: 13.76), and absence of dry cow therapy (OR: 3.31). The findings of the current study underscore the urgent requirement for targeted interventions, considering the identified factors to effectively manage and control SCM in dairy cows.

Effect of Subclinical Mastitis Detected in the First Month of Lactation on the Reproductive Performance of Dairy Cows in Western Algeria

Background: The current study aimed to detect in the first month of lactation the prevalence and risk factors of subclinical mastitis (SCM) and its effects on reproductive performance in dairy cows in western Algeria. Methods: 530 cows from 18 herds were examined in the study. California Mastitis Test (CMT) was used to screen subclinical mastitis for individual cows and a score of two or more for any quarter without any clinical symptoms and abnormalities in milk was considered as positive for SCM. Milk samples positive for subclinical mastitis were subjected to bacteriological analysis. Result: The present study revealed a prevalence of subclinical mastitis of 34.90%, (185 of 530). The most common pathogen identified from CMT-positive milk samples was Staphylococcus aureus with 35.62%. Logistic regression analysis showed that parity, farming system and milking method affect significantly the prevalence of SCM. Subclinical mastitis during the first month of lactation affected significantly the reproductive performance by increasing calving to first service interval (CFSI), calving-to-conception interval (CCI)and number of services per conception (NSPC). The results of this study highlight the importance of mastitis control programs in dairy farms by showing that a high frequency of subclinical mastitis caused by Staphylococcus aureus may have a negative impact on the reproductive performance of dairy cows.

Exploring Longitudinal Associations between Farmer Health and Wellbeing, and Dairy Herd Subclinical Mastitis Prevalence and Productivity: The HUNT Study, Norway

The health and wellbeing of farmers is one aspect of the sustainability of agriculture, as is the health and productivity of livestock. Previous research suggests a possible association between the 2, but the complexity of the relationships between farmers and their livestock can hamper research efforts. This observational study utilizes high quality existing survey and register data from a cohort of Norwegian dairy enterprises to explore possible longitudinal associations between farmer health and wellbeing (general health, chronic disease or condition, chronic pain, anxiety or depression symptoms, or poor life satisfaction) and changes in dairy herd udder health (estimated by the proportion of milk tests with a high somatic cell count (SCC%)) or milk yield (kilograms per cow-year equivalent). We found evidence of a general trend toward increased SCC% with poor farmer health or wellbeing. If the farmer had poor self-reported general health, the odds ratio (OR) for a one-year increase in SCC% at the enterprise was 1.51 (95% CI: 0.76,2.99, OR 1.80 (0.71, 4.51) after adjustment for possible effect modifiers) compared with those with good health, and for poor life satisfaction the OR was 1.50 (0.71,3.15) (2.61 (0.92,7.39) after adjustment). We also find evidence that enterprises where a farmer was experiencing poor health or wellbeing tended to have lower odds of a decrease in milk yield than other enterprises. The OR for a one-year decrease in milk yield with any chronic disease or condition was 0.42 (0.24,0.76), and with symptoms of anxiety or depression the OR was 0.56 (0.23,1.34). Potential confounders and effect modifiers are discussed and explored. These results suggest that further longitudinal research to unravel the relationships between farmer health and wellbeing, and livestock health and productivity is needed.

The Use of Machine Learning to Predict Prevalence of Subclinical Mastitis in Dairy Sheep Farms.

The objective of the study was to develop a computational model with which predictions regarding the level of prevalence of mastitis in dairy sheep farms could be performed. Data for the construction of the model were obtained from a large Greece-wide field study with 111 farms. Unsupervised learning methodology was applied for clustering data into two clusters based on 18 variables (17 independent variables related to health management practices applied in farms, climatological data at the locations of the farms, and the level of prevalence of subclinical mastitis as the target value). The K-means tool showed the highest significance for the classification of farms into two clusters for the construction of the computational model: median (interquartile range) prevalence of subclinical mastitis among farms was 20.0% (interquartile range: 15.8%) and 30.0% (16.0%) (p = 0.002). Supervised learning tools were subsequently used to predict the level of prevalence of the infection: decision trees, k-NN, neural networks, and Support vector machines. For each of these, combinations of hyperparameters were employed; 83 models were produced, and 4150 assessments were made in total. A computational model obtained by means of Support vector machines (kernel: 'linear', regularization parameter C = 3) was selected. Thereafter, the model was assessed through the results of the prevalence of subclinical mastitis in 373 records from sheep flocks unrelated to the ones employed for the selection of the model; the model was used for evaluation of the correct classification of the data in each of 373 sets, each of which included a test (prediction) subset with one record that referred to the farm under assessment. The median prevalence of the infection in farms classified by the model in each of the two categories was 10.4% (5.5%) and 36.3% (9.7%) (p < 0.0001). The overall accuracy of the model for the results presented by the K-means tool was 94.1%; for the estimation of the level of prevalence (<25.0%/≥25.0%) in the farms, it was 96.3%. The findings of this study indicate that machine learning algorithms can be usefully employed in predicting the level of subclinical mastitis in dairy sheep farms. This can facilitate setting up appropriate health management measures for interventions in the farms.

Relationship of Udder, Flank and Lower Leg Hygiene Scores with Elevated Somatic Cell Count and Prevalence of Subclinical Mastitis in Dairy Cow

Relationship of Udder, Flank and Lower Leg Hygiene Scores with Elevated Somatic Cell Count and Prevalence of Subclinical Mastitis in Dairy Cow

Genomic insights of S. aureus associated with bovine mastitis in a high livestock activity region of Mexico.

Bovine mastitis, predominantly associated with gram-positive Staphylococcus aureus, poses a significant threat to dairy cows, leading to a decline in milk quality and volume with substantial economic implications. This study investigated the incidence, virulence, and antibiotic resistance of S. aureus associated with mastitis in dairy cows. Fifty milk-productive cows underwent a subclinical mastitis diagnosis, and the S. aureus strains were isolated. Genomic DNA extraction, sequencing, and bioinformatic analysis were performed, supplemented by including 124 S. aureus genomes from cows with subclinical mastitis to enhance the overall analysis. The results revealed a 42% prevalence of subclinical mastitis among the cows tested. Genomic analysis identified 26 sequence types (STs) for all isolates, with Mexican STs belonging primarily to CC1 and CC97. The analyzed genomes exhibited multidrug resistance to phenicol, fluoroquinolone, tetracycline, and cephalosporine, which are commonly used as the first line of treatment. Furthermore, a similar genomic virulence repertoire was observed across the genomes, encompassing the genes related to invasion, survival, pathogenesis, and iron uptake. In particular, the toxic shock syndrome toxin (tss-1) was found predominantly in the genomes isolated in this study, posing potential health risks, particularly in children. These findings underscore the broad capacity for antibiotic resistance and pathogenicity by S. aureus, compromising the integrity of milk and dairy products. The study emphasizes the need to evaluate the effectiveness of antibiotics in combating S. aureus infections.

Prevalence, antimicrobial susceptibility profiles and resistant gene identification of bovine subclinical mastitis pathogens in Bangladesh

Subclinical mastitis (SCM), a silent threat in the dairy sector of Bangladesh poses a significant economic impact and serves as a potential source of infection for healthy cows, hindering efforts to achieve milk self-sufficiency. Despite the importance of this issue, limited research has been conducted on mastitis in Sylhet region of Bangladesh. This study aimed to investigate the molecular prevalence, antimicrobial susceptibility profile and resistant genes detection on pathogens (Staphylococcus aureus, Escherichia coli, and Klebsiella pneumoniae) causing SCM. In a cross-sectional study utilizing convenience sampling, 325 milk samples were collected from apparently healthy dairy cows. Initially, SCM was detected using the modified Whiteside test (MWST) method. Suspected positive samples were then subjected to bacteriological culture and standard biochemical assays, followed by molecular identification through polymerase chain reaction (PCR). Finally, antimicrobial susceptibility testing was conducted on all PCR-positive samples using the Kirby-Bauer disk diffusion method on Mueller-Hinton agar. In the Sylhet district, the prevalence of SCM was 64.92 % (211 out of 325) at the individual animal level and 82.69 % (43 out of 52) at the herd level. Among the SCM-positive animals, S.aureus was found in 31.75 % (67 out of 211) of cases, E.coli in 81.99 % (173 out of 211), and K.pneumoniae in 66.82 % (141 out of 211). K.pneumoniae had the highest prevalence at 60 % in Zakiganj, S.aureus at 45 % in Zakiganj, and E.coli at 72 % in Bishwanath Upazila. Extended spectrum beta lactamase (ESBL) genes blaTEM, blaOXA, blaCTX-M1,blaCTX-M2,MultiCaseDHA were identified. Additionally, antibiotic resistance genes tet(A), AAC(3)-iv, and Sul1 were also detected. The pathogens exhibited resistance to Penicillins (ampicillin, amoxicillin), Cephems (cefuroxime, ceftazidime), and Tetracyclines (tetracycline). However, all three bacteria were highly sensitive to meropenem, amikacin, gentamicin, ciprofloxacin, and sulfamethoxazole-trimethoprim. These findings highlight the critical need for targeted antimicrobial stewardship and effective control measures to mitigate the impact of SCM on dairy production and animal health in the Sylhet region of Bangladesh.

Determination of prevalence of subclinical mastitis, characterization of intra-mammary infection-causing bacteria, and antibiotic susceptibility in dairy camels in Jigjiga City, Somali region, Ethiopia

BackgroundSubclinical mastitis in camels, an inflammation of the udder without visible signs, can reduce milk quality and raise bacteria levels. Regular monitoring of camel milk is crucial for consumer safety.MethodsA cross sectional study was conducted in Jigjiga city, Ethiopia to investigate the prevalence and characteristics of subclinical mastitis in she-camels. The study included 244 lactating she-camels from three privately-owned camel dairy farms, and a questionnaire survey was conducted with 60 camel owners.ResultsThe overall prevalence of subclinical mastitis in she-camels was 10.6% (26/244), with no significant difference among the studied dairy farms. Risk factors that influenced the result of California Mastitis Test (CMT) included age and udder and leg hygiene. The study revealed that S. aureus was the most prevalent bacterium among the isolated bacteria, with a prevalence rate of 34.5%. This was followed by S. agalactiae, S. dysgalactiae, and Pasteurella multocida, with prevalence rates of 29.8, 19.4, and 16.2%, respectively. Among the isolated bacteria, 84.5% were sensitive to Erythromycin, 60% to Streptomycin, 44.7% to Oxytetracycline, and 36.7% to Tetracycline. Interviews with camel owners revealed that 66.7% used mixed herd grazing methods and reported feed shortage. Treatment practices for sick camels included modern veterinary drugs, traditional medicines, or a combination of both. The owners of camel dairy farms did not maintain proper hygiene practices during milking, such as not using soap when washing hands.ConclusionAddressing camel mastitis necessitates access to alternative drugs, comprehensive herder training, and enhanced management practices.

The variability in the prevalence of subclinical and clinical mastitis and its impact on milk yield of Holstein and Simmental cows as a result of parity

The variability in the prevalence of subclinical and clinical mastitis and its impact on milk yield of Holstein and Simmental cows as a result of parity

Molecular insights intoexpression and silencing of resistance determinants in Staphylococcus aureus.

This study aimed to investigate the status of antimicrobial-resistant strains of Staphylococcus aureus in Pakistan, their association in terms of co-occurrence with the biofilm-forming genes, resistance profiling and associated discrepancies in diagnostic methods. A total of 384 milk samples from bovine was collected by using convenient sampling technique and were initially screened for subclinical mastitis, further preceded by isolation and confirmation of S. aureus. The S. aureus isolates were subjected to evaluation of antimicrobial resistance by phenotypic identification using Kirby-Bauer disc diffusion method, while the genotypic estimation was done by polymerase chain reaction to declare isolates as methicillin, beta-lactam, vancomycin, tetracycline, and aminoglycoside resistant S. aureus (MRSA, BRSA, VRSA, TRSA, and ARSA), respectively. The current study revealed an overall prevalence of subclinical mastitis and S. aureus to be 59.11% and 46.69%, respectively. On a phenotypic basis, the prevalence of MRSA, BRSA, VRSA, TRSA, and ARSA was found to be 44.33%, 58.49%, 20.75%, 35.84%, and 30.18%, respectively. The results of PCR analysis showed that 46.80% of the tested isolates were declared as MRSA, 37.09% as BRSA, and 36.36% as VRSA, while the occurrence of TRSA and ARSA was observed in 26.31% and 18.75%, respectively. The current study also reported the existence of biofilm-producing genes (icaA and icaD) in 49.06% and 40.57% isolates, respectively. Lastly, this study also reported a high incidence of discrepancies for both genotypic and phenotypic identification methods of resistance evaluation, with the highest discrepancy ratio for the accA-aphD gene, followed by tetK, vanB, blaZ, and mecA genes. The study concluded that different antibiotic resistance strains of S. aureus are prevalent in study districts with high potential to transmit between human populations. The study also determined that there are multiple resistance determinants and mechanisms that are responsible for the silencing and expression of antibiotic resistance genes.

Genotypic insights to Panton-Valentine leukocidin positive methicillin-resistant Staphylococcus aureus isolated from cattle mastitis.

In this research communication we investigate the prevalence and antimicrobial susceptibility of S. aureus harboring virulent genes responsible for mastitis in cattle of Punjab, Pakistan. A total of 690 milk samples were collected from commercial dairy farms for analysis of the prevalence of subclinical and clinical mastitis and isolation of S. aureus. Virulence ability and methicillin resistance in S. aureus (MRSA) was determined by targeting the pvl (the gene for Panton-Valentine leukocidin) and mecA genes, respectively. A total of 175 S. aureus isolates exhibiting prevalence of pvl gene (6.28%) and mecA gene (22.28%) were determined. Antimicrobial susceptibility testing of pvl positive and negative MRSA against different classes of antibiotics revealed 100% resistance against β-lactams while 100% sensitivity towards tylosin and linezolid.

Prevalence and risk factors of subclinical mastitis in goats in western Algeria

Subclinical mastitis (SCM) is a frequent disease in dairy goats that negatively impact milk quality and yield, leading to substantial economic losses. This cross-sectional study was conducted to estimate the prevalence of SCM and its associated risk factors among dairy goats in western Algeria. The study included 22 farms, and data on risk factors were collected using a questionnaire administered to the farmers. A total of 150 goats, with no clinical signs of mastitis, were randomly selected to determine the prevalence of SCM, using the California Mastitis Test. The Generalised Linear Mixed Model was used to identify the risk factors. The estimated prevalence of SCM was 20.7%. The results of the model indicated that the risk of SCM is significantly higher in does that had dirty udders, raised in unclean barns, were multiparous or in the late stage of lactation. Our findings emphasise the importance of appropriate herd management practices in reducing the prevalence of SCM in dairy goat herds.

Prevalence of mastitis and characterization of bacterial agents isolated from dairy herds in the microregion of Garanhuns, state of Pernambuco, Brazil

The aims of the present study were to establish the prevalence of bovine clinical and subclinical mastitis in dairy herds located in the microregion of Garanhuns in the state of Pernambuco, Brazil, determine antimicrobial susceptibility as well as identify antimicrobial resistance mechanisms and the production of biofilm in the bacterial groups isolated. The study was conducted in 10 herds of dairy cattle. The number of lactating cows per herd ranged from 22 to 90, totaling 477 animals. The prevalence of clinical and subclinical mastitis ranged from 2.7 to 18.2% and 38.9 to 76%, respectively. The bacterial genera isolated from the cows with mastitis were Staphylococcus, Streptococcus and Corynebacterium, with respective frequencies of 75.2, 17 and 2.6%. Among the species identified, the most frequent was Staphylococcus aureus in both clinical and subclinical mastitis. The antimicrobial susceptibility test of the isolates of Staphylococcus and Streptococcus revealed high rates of resistance to penicillin and tetracycline. Biofilm production was found in 95.4% of Staphylococcus genera whereas none of the samples presented efflux pumps. In conclusion, high rates of mastitis were found in the herds analyzed. Moreover, the etiological agents are bacteria that have the potential for biofilm production and are resistant to the main groups of antimicrobials used for the control of the disease, making bovine mastitis a challenge for veterinarians who work in the studied region.

Breed and non-genetic risk factors associated with the prevalence of subclinical mastitis in livestock systems of Arauca, Colombian orinoquia

ABSTRACT Subclinical Mastitis (SCM) is caused by several factors associated with the interaction of the individual cow, cow management, and the environment. The aim of this study was to assess the breed and non-genetic risk factors on the prevalence of SCM in cows from the dual-purpose livestock system on the floodplain of Arauca, Colombian Orinoquia. Milk samples were taken from the individual mammary quarters of 481 cows representing 28 different farms where the electrical conductivity (EC) test applied. To determine the factors associated with SCM, a multiple logistic regression analysis was used. The response variable was the SCM presence (1), or absence (0) obtained with the EC test. Breed was included as a genetic risk factor, and as non- genetic risk factors: number of cows in production, daily milk production, lactation month, cow age, climatic period, body condition, and calving number. The factors that were significantly associated with the SCM presence were body condition, climatic period, and breed (p < 0.05). Odds ratio (OR) analysis of significant effects indicates that for each unit increase in body condition, the OR of having animals with SCM is reduced by 71%. In the dry period the OR of animals with SCM increases by 150% compared to the rainy period. Composite breeds reduce the OR of SCM animals by 73%, compared with Indicus-predominance animals. In this study, the occurrence of SCM in extensive management systems in Arauca, Colombian Orinoquia, is determined by the risk factors of breed, climatic period, and body condition.

Evaluation of close up antimicrobial therapies for treatment and prevention of subclinical mastitis in the herds with high prevalence of Staphylococcus aureus

This field trial was conducted to evaluate two antibiotics at a close-up period in curing the existing IMI and to prevent new clinical and subclinical Intramammary infection (IMI). Two hundred and twelve Holstein cows were assigned to one of three treatment groups: TYLO, MARB and CONT. Cows in TYLO group received 10 mg/kg Tylosin for three days at the close-up period (21 days before calving), cows in MARB group received single SC injection of 8 mg/kg SC marbofloxacin at the close-up period and cows in CONT group remained untreated. Milk samples were collected for somatic cell count, microbial culture and Total oxidant/antioxidant capacity before drying-off, and 3 and 7days post calving. Antimicrobial susceptibility test and RAPT-PCR were performed on S.aureus isolates. No significant differences were detected in total cure rate within the groups, but S. aureus cure rates in TYLO and MARB were significantly higher than in CONT (74 and 73.5 % Vs 58.1 %). No significant differences in total new IMI were observed. Furthermore, the rate of new S. aureus IMI was higher in both treatment groups than in CONT group. Clinical mastitis rate in TYLO (3.8 %) and MARB (5.8 %) was significantly lower than CONT (11.3 %). Paired S. aureus isolates from dry-off and post-calving have been clustered into 9 different RAPD types (A-I). 8 paired strains collected at dry-off were identical to those at post-calving,and 35 strains had more than 60 % dissimilarity. Administration of Tylosin or Marbofloxacin is not useful in all cases;however, they have the potential to reduce the incidence of post-calving clinical mastitis and improve S.aureus cure rate if used selectively.

Haematological and Metabolic Profile Test of Subclinical Mastitis Affected Cross Bred Cattle

The current research was conducted during May–October, 2023 aimed to assess the haemato-biochemical parameters in cattle affected with S. aureus affected subclinical mastitis. Mastitis in dairy cattle is the persistent, inflammatory reaction of the udder tissue. Financial losses due to mastitis occur in the case of both sub-clinically and clinically affected animals. Sub-clinical mastitis exhibits no clinical signs and mostly remains unnoticed by the farmer and can be detected if specific tests are performed in milk samples. Sub-clinical mastitis has an erosive effect on the economy of dairy farmers as it effect directly on the milk quality and quantity. In India prevalence of sub-clinical mastitis was found to be more in cows when compared to clinical mastitis. Blood samples were collected from the jugular vein of 10 healthy and 10 subclinical mastitis affected cattle. Blood samples were analyzed for Hb, PCV, TEC, TLC, while serum samples were examined for ALT, AST, ALP, Glucose, Total protein, Albumin, Cholesterol and Calcium. Haematology report showed significantly (p&lt;0.01) decrease in Hb, PCV and TEC in subclinical affected cattle when compared to healthy animals. TLC was significantly increased in (p&lt;0.01) subclinical affected animal than healthy animal. Biochemical estimate revealed significantly (p&lt;0.05) higher average values of AST, ALP and Ca in subclinical mastitis affected animals compared to healthy animals. Glucose, total protein, albumin, cholesterol and ALT levels are significantly (p&lt;0.05) decrease in subclinical mastitis affected animals when compared to healthy cows. Haemato-biochemical parameters can be used as important for pathological state of subclinical mastitis animals.

Subclinical Mastitis Prevalence of Dairy Goat Smallholder Farm and Total Plate Count of the Milk

Subclinical mastitis is an inflammatory condition of the mammary gland without visible symptoms in dairy livestock. The subclinical mastitis should be detected periodically in every farm. This study aimed to determine the prevalence of subclinical mastitis in dairy goats on smallholder farms, followed by calculating the goat milk's total plate count (TPC) and pH value. Risk factors thought to cause subclinical mastitis on that farm are traditional livestock rearing techniques and land area that exceeds livestock capacity. The method used was a survey at a smallholder farm and laboratory analysis for the milk quality as a case study of a goat farm in Padang City, West Sumatra, Indonesia. The farm kept 118 goats from different breeds: Ettawa breeders, Sapera, Anglo Nubian, Anglo Sapera, and Anglo Saperaboer. Eighteen dairy goats were in the lactation period in June-July 2023. The results of subclinical mastitis examination of dairy goats were categorized as negative (-), positive 1 (+), positive 2 (++), and positive 3 (+++). The results showed that the prevalence of subclinical mastitis on that farm was 66.7%. Furthermore, milk TPC values (CFU/ml) were 3.1x105 (-), 5.6x106 (+), 9.9x106 (++), and 1.5x107 (+++). The pH values of the milk ranged from about 6.9 to 7.1. In conclusion, there was a high prevalence of subclinical mastitis on the farm. As such, the TPC and pH values were above the Indonesian National Standard for fresh milk quality.

Meta analysis of the prevalence of subclinical mastitis in dairy cattle

Mastitis, which is defined as the inflammation of mammary tissue caused by infectious agents such as bacteria, yeast, fungi and viruses, is considered to be one of the most important problems of dairy enterprises due to reduced milk yield and milk quality. Therefore, studies on mastitis have been continuous from past to present. The presence of too many studies conducted in all around the world in order to estimate the prevalence of mastitis and to determine the factors affecting the disease has necessitated systematic review or meta-analysis studies on this subject. In this study, it was aimed to perform the meta-analysis for the prevalence of cow and udder quarter-based subclinical mastitis in 193 studies conducted around the world, and to determine the effects of some factors on the prevalence of subclinical mastitis using subgroup and meta-regression methods. Because high heterogeneity was detected between studies in the analysis, the random effects model (Der Simonian-Laird method) (Q=15149.869, df=188, p&lt;0.001, I2=98.759; Q=72142.706; df=174, p&lt;0.001; I2=99.774) was used in this study. The publication biases in the study samples were determined by the use of Egger's linear regression test, the Begg and Mazumdar rank correlation test and funnel plots. As a result of the study, the common prevalence of subclinical mastitis in cow and udder quarter-based studies were calculated as 0.46 (95% CI: 0.43-0.48) and 0.32 (95% CI: 0.30-0.34) respectively. The meta-analysis conducted in this study has enabled the elimination of inconsistencies in the prevalence of subclinical mastitis in individual studies conducted around the world, and has provided a stronger and more precise estimate.

Prevalence of subclinical mastitis in cattle using modified California mastitis test

Prevalence of subclinical mastitis in cattle using modified California mastitis test