Bulk Tank Somatic Cell Count Research Articles

Compost bedded pack dairy barn management, performance, and producer satisfaction

The objective of the research was to characterize herd performance, producer satisfaction and recommendations, and management practices used by compost bedded pack (CBP) managers in Kentucky (42 farms and 47 CBP facilities). Farms were visited between October 2010 and March 2011. A random selection of cows housed solely in the CBP were scored for locomotion and hygiene. Changes in monthly Dairy Herd Improvement Association performance records, including milk production, SCC, reproductive performance, and daily bulk-tank somatic cell count after moving into the CBP were analyzed using the MIXED procedure of SAS (SAS 9.3; SAS Institute Inc., Cary, NC). The GLM procedure of SAS (SAS 9.3) was used to develop models to describe CBP moisture, CBP temperature at 20.3cm, and mean herd hygiene. Producers provided 9.0±2.2m2 of pack space per cow (n=44). Barns constructed with an attached feed alley cost $1,051±407 per cow (n=40). Barns constructed without an attached feed alley cost $493±196 per cow (n=13). Kiln-dried shavings required 0.05±0.04m3 of bedding per cow per day (n=15). Green shavings required 0.07±0.06m3 of bedding per cow per day (n=12). The most-frequently cited benefits of the CBP included cow comfort (n=28), cow cleanliness (n=14), and the low-maintenance nature of the system (n=10). Increased stirring frequency, stirring depth, and ambient temperature increased pack temperature, measured at 20.3cm below the CBP surface. Increased stirring depth, pasture-adjusted space per cow, and drying rate decreased CBP moisture. Mean herd locomotion and hygiene scores were 1.5±0.3 (n=34) and 2.2±0.4 (n=34), respectively. Increased 20.3-cm depth CBP temperature and ambient temperatures improved mean herd hygiene. Bulk-tank somatic cell count decreased from the year before to the year after moving into the CBP barn (323,692±7,301 vs. 252,859±7,112 cells/mL, respectively) for farms using the CBP barn as the primary housing facility (n=9). Daily milk production, collected from monthly Dairy Herd Improvement Association tests, increased from before moving into the CBP barn to the second year after (29.3±0.3 vs. 30.7±0.3kg, respectively) for farms using the CBP barn as the primary housing facility (n=8). Calving interval decreased from the year before to the second year after (14.3±0.1 vs. 13.7±0.1mo) moving into the CBP barn for farms using the CBP as primary housing (n=8).

Evaluation of monthly individual cow somatic cell count data to predict the risk of exceeding a bulk-tank somatic cell count threshold of 400,000 c/mL

Since August 2012, the upper tolerance limit for bulk-tank somatic cell count (BTSCC) in Canada is 400,000 c/mL. Among Quebec's dairy herds in 2011, 13% of BTSCC analyses exceeded that limit and were at risk of financial penalties. Herd indices on the basis of individual-cow somatic cell count (SCC) variations around a threshold of 200,000 c/mL between 2 consecutive months in lactation have been described (proportion of cows cured, new 'intramammary infection [NIMI], healthy or chronic) and could be used to monitor the dynamics of herd udder health. The objective of this study was to use individual-cow udder health indices for the preceding 3-month period to develop a predictive model to estimate the risk of exceeding the BTSCC limit of 400,000 c/mL the following month.

Evaluation of udder health parameters of organic and conventional dairy herds in Minnesota

The National Organic Program emphasizes the importance of disease prevention and does not allow organic dairy herds to use antimicrobials for dry cow therapy or for treatment of clinical mastitis. At present, little is known about the impact of these regulations on udder health or management practices on organic dairies in Minnesota. The objectives of this pilot study were to describe bulk-tank somatic cell and bacteria counts, udder health variables, and milking and udder health management practices of organic and conventional dairy herds in Minnesota, and to compare udder health variables and management practices between organic and conventional herds.

Evaluation of a 3M Petrifilm on-farm culture system for the detection of intramammary infection at the end of lactation

The purpose of this study was to evaluate a 3M Petrifilm-based on-farm culture system for the detection of intramammary infection (IMI) in low somatic cell count (SCC) cows (<200,000cells/mL) at drying off. The main objectives were to determine the test characteristics and the predictive values of the Petrifilm on-farm culture system. The ability of dairy producers to correctly classify cows as infected or uninfected based on Petrifilm culture and a set colony count threshold was also assessed. A total of 360 cows originating from 16 low bulk tank SCC (<250,000cells/mL) dairy herds were enrolled at drying off. Enrolled cows had an expected dry period of 30–90 days, a SCC<200,000cells/mL on the last 3 tests prior to drying off, no clinical mastitis in the same time period, and no antibiotic treatment in the last 14 days. Quarter milk samples were collected on the day prior to drying off, and a composite milk sample was created by combining 5mL of milk from each quarter sample. Composite milk samples were cultured on-farm using the Petrifilm culture system, which provided results within 24h. Quarter milk samples were cultured in a reference laboratory, and the results were aggregated to the cow level. On the day of drying off, the Petrifilm was read by the producer and cows were classified as positive if ≥5 colonies (equivalent to 50 colony forming units/mL) were present. When read by the producer, 47.8% of the cows cultured negative on Petrifilm and were infused with only an internal teat sealant at drying off. The test characteristics of the Petrifilm on-farm culture system were calculated by comparing the producer-derived Petrifilm results to those obtained by standard laboratory culture. The sensitivity and specificity of the Petrifilm on-farm culture system were 85.2% (78.5–90.5) and 73.2% (66.4–79.3), respectively. The negative predictive value of the Petrifilm test system was high (86.6%) when estimated using the prevalence of IMI in this data set, and the positive predictive value was moderate (70.9%). An automated 3M Petrifilm reader was used to obtain accurate colony counts. The agreement between Petrifilm results obtained by the producer and those obtained by the automated Petrifilm reader was high, with a kappa value of 0.82 (0.75–0.89).

The effect of somatic cell count data adjustment and interpretation, as outlined in European Union legislation, on herd eligibility to supply raw milk for processing of dairy products

Somatic cell count (SCC) limits are a key component of national and international regulation for milk quality. As yet, very limited work has been published on SCC regulatory standards, including on the effect of different approaches to SCC data adjustment and interpretation. This study examines the effect of SCC data adjustment and interpretation, as outlined in current European Union (EU) legislation, on herd eligibility to supply raw milk for processing of dairy products for human consumption, using Irish data for illustration. The study used Irish milk-recording data as a proxy for bulk tank SCC (BTSCC) data, to calculate an unadjusted monthly SCC value for each herd during each month of participation. Subsequently, 4 data adjustments were applied, as outlined in EU and national legislation: seasonal adjustment; 3-mo rolling geometric average, without accounting for a break in the supply; 3-mo rolling geometric average, after accounting for a break in the supply; and seasonal adjustment and 3-mo rolling geometric average combined, after accounting for a break in the supply. Analyses were conducted to examine the effect, during the period from 2004 to 2010, of data adjustment on the percentage of herds with herd SCC >400,000cells/mL. In all, 4 interpretation scenarios, incorporating different data adjustment combinations, were used to estimate herd eligibility (compliant, under warning, or suspended, as defined by legislation) to supply raw milk for processing. The 4 methods of data adjustment each led to a sizable reduction (6.7, 5.0, 5.3, and 11.1 percentage points, respectively, compared with the unadjusted data) in the percentage of herds exceeding a herd SCC of 400,000cells/mL. Herd eligibility varied by interpretation scenarios, in particular those incorporating seasonal adjustment. The study provides new perspectives on the effect of data adjustment on herd SCC and of interpretation scenarios on herd eligibility. The results provide an illustrative, rather than definitive, picture of this effect, as national authorities use BTSCC data when determining herd eligibility, whereas this study was conducted using milk-recording data as a proxy. Some aspects of the primary EU legislation are unclear, which may lead to differences in interpretation and application. The potential impact of data adjustment and milk purchaser pricing on farm-level mastitis control in Ireland is considered.

Quality based payment program and milk quality in dairy cooperatives of Southern Brazil: an econometric analysis

Programs designed to enhance milk quality have been used to motivate dairy farmers to improve the quality of the raw milk they produce. The objective of this study was to evaluate the association between a milk quality payment program and four indicative variables of milk quality, by testing bulk tank somatic cell count (SCC), bulk tank total bacterial count (TBC), fat (FAT) and protein (PROT) percentages over three years in four dairy cooperatives in Southern Brazil. We used a multiple regression econometric model estimated from market data of milk delivered by farmers to the cooperatives. Bulk tank milk samples (n = 19,644) were monthly collected. The data set was analyzed for the effects of seasonality, average daily volume of milk, the award/penalty, producer, and cooperatives on SCC, TBC, FAT and PROT. Results suggested an association between the adoption of a payment program based on milk quality and the reduction of SCC and TBC. Nevertheless, the program seems to have not contributed to increase fat and protein milk percentages. This information may help the dairy industry in developing countries to conceive strategies to enhance overall milk quality.

Avaliação do impacto econômico da mastite em rebanhos bovinos leiteiros

Os objetivos desta pesquisa foram simular, analisar e quantificar o impacto econômico da frequência média anual de mastite clínica em rebanhos bovinos leiteiros. A pesquisa foi realizada por meio de simulação no sistema computacional CU$TO MASTITE, considerando rebanhos leiteiros com 1, 7 e 15% de mastite clínica. Foram consideradas como prevenção as despesas com monitoramento (cultura e antibiograma, contagem de células somáticas no tanque e contagem de células somática individual), pré e pós dipping, vacinação, tratamento de vacas secas e manutenção de ordenhadeira. Como medida curativa considerou-se apenas tratamento de casos clínicos. O impacto da mastite foi estimado como sendo o total em perdas acrescido das despesas com prevenção e tratamento de casos clínicos. O aumento da frequência média anual de mastite influenciou diretamente no impacto econômico da mastite, evidenciando a necessidade de monitoramento da mastite clínica e subclínica e adoção de medidas preventivas para diminuir os prejuízos ocasionados por essa enfermidade. As despesas com tratamento preventivo representaram, no máximo, 19,7% do impacto econômico, o que demonstra vantagens em investir nessa prática, pois ela irá contribuir significativamente para reduzir o impacto econômico da mastite.

Critical success factors transitioning from conventional to automatic milking in the United States

Early studies on automatic milking systems (AMS) in Europe revealed an increase in bulk tank somatic cell counts (BTSCC) and difficulties for farmers to adapt to new management routines. Since then AMS technology and information management have improved with its introduction in the US. Herd management support has increased to assist producers during the transition from conventional to AMS. The aim of this study was to determine milk production and quality results of AMS in the US and define key success factors for successful transition to AMS milking.

Short communication: Bulk milk somatic cell penalties in herds enrolled in Dairy Herd Improvement programs

The objective of this study was to determine the effect of somatic cell count (SCC) monitoring at the cow level through Dairy Herd Improvement (DHI) programs on the risk of bulk tank SCC (BTSCC) penalties. For the year 2009, BTSCC for all producers in Ontario were examined, for a total of 2,898 DHI herds, 1,186 non-DHI herds, and 48,250 BTSCC records. Two penalty levels were examined, where BTSCC exceeded 499,000 (P500) and 399,000 (P400) cells/mL. Data were modeled first to determine the odds of a BTSCC exceeding a set penalty threshold and second to determine the odds of incurring a penalty under the Ontario Milk Act. All data were modeled as a generalized mixed model with a binary link function. Random effects included herd, fixed effects included season of BTSCC (summer, May to September, and winter, October to April), total milk shipped per month (L), fat paid per month (kg), protein paid per month (kg), and participation or not in the DHI program. The likelihood of a BTSCC exceeding a penalty threshold in a non-DHI herd compared with a DHI herd was significantly greater than 1 at both penalty levels, where the odds ratios were estimated to be 1.42 [95% confidence interval (CI): 1.19 to 1.69] and 1.38 (95% CI: 1.25 to 1.54) for P500 and P400, respectively. The likelihood of incurring a BTSCC penalty (where 3 out of 4 consecutive BTSCC exceeded penalty thresholds) was not significantly different at P500; however, it was significantly different for P400, where the odds ratio was estimated to be 1.42 (95% CI: 1.12 to 1.81).

Consequence of alternative standards for bulk tank somatic cell count of dairy herds in the United States

Noncompliance with current US and European Union (EU) standards for bulk-tank somatic cell count (BTSCC) as well as BTSCC standards recently proposed by 3 US organizations was evaluated using US Dairy Herd Improvement Association (DHI) herds and herds supplying milk to 4 Federal Milk Marketing Orders (FMO). Herds with 15 to 26 tests (frequently monthly) from January 2009 through October 2010 were included. Somatic cell scores (SCS) from 14,854 herds and 164,794 herd-tests were analyzed for DHI herds with ≥10 cows for all tests. Herd test-day SCC was derived as a proxy for BTSCC and was the basis for determining noncompliance and percentage of the milk it represented. For FMO herds, actual milk marketed and BTSCC were available from 27,759 herds and 325,690 herd-tests. A herd was noncompliant for the current EU BTSCC standard after 4 consecutive rolling 3-test geometric means (geometric method) were >400,000 cells/mL. A herd was noncompliant for the current US BTSCC standard after 3 of 5 consecutive monthly BTSCC shipments (frequency method) were >750,000 cells/mL. Alternative proposed standards (600,000, 500,000, or 400,000 cells/mL) also were examined. A third method designated noncompliance when a single 3-mo geometric mean of >550,000 or >400,000 cells/mL and a subsequent test exceeded the same level. Results were examined based on herd size or milk shipped by month. Noncompliance for the current US standard for the 12 mo ending October 2010 in DHI and FMO herds was 0.9 and 1.0%, respectively, compared with 7.8 and 16.1% for the current EU standard. Noncompliance was always greater for the frequency method than for the geometric method and was inversely related to herd size or milk shipped. Using the frequency method at 400,000 cells/mL, noncompliance was 19.1% for DHI herd-tests in herds with <50 cows compared with 1.1% for herds with ≥1,000 cows. For FMO herds shipping <900 t, noncompliance was 44.5% using the frequency method at 400,000 cells/mL compared with 8.0% for herds marketing >9,000 t. All methods proposed increased the percentages of herds and shipped milk that exceeded the regulatory limit. Producers will need to place more emphasis on reducing the incidence and prevalence of subclinical mastitis through known management practices such as proper milking techniques, well-functioning milking machines, postmilking teat disinfectant, dry cow treatment, and culling of problem cows to meet any of the proposed new standards.

Molecular detection of Streptococcus agalactiae in bovine raw milk samples obtained directly from bulk tanks

Mastitis is the most common infectious disease affecting dairy cattle; in addition, it remains the most economically important disease of dairy industries around the world. Streptococcus agalactiae, a contagious pathogen associated with subclinical mastitis, is highly infectious. This bacterium can cause an increase in bulk tank bacterial counts (BTBC) and bulk tank somatic cell counts (BTSCC). The microbiological identification of S. agalactiae in samples from bulk tanks is an auxiliary method to control contagious mastitis. Thus, there are some limitations for time-consuming cultures or identification methods and additional concerns about the conservation and transport of samples. Bulk tank samples from 247 dairy farms were cultured and compared through polymerase chain reaction (PCR), directed to 16S rRNA genes of S. agalactiae, followed by BTBC and S. agalactiae isolation. The mean value of BTBC was 1.08×106CFUmL−1 and the bacterium was identified through the microbiological method in 98 (39.7%; CI95%=33.8–45.9%) and through PCR in 110 (44.5%; CI95%=38.5–50.8%) samples. Results indicated sensitivity of 0.8571±0.0353 (CI95%=0.7719–0.9196) and specificity of 0.8255±0.0311 (CI95%=0.7549–0.8827). The lack of significant difference between microbiological and molecular results (κ=0.6686±0.0477 and CI95%=0.5752–0.7620) indicated substantial agreement between the methods. This suggests that PCR can be used for bulk tank samples to detect contagious mastitis caused by S. agalactiae.

Deterministic model to evaluate the impact of lactational treatment of subclinical mastitis due to coagulase-negative staphylococci

Coagulase-negative staphylococci (CNS) are the most frequently isolated bacteria from milk samples in several studies worldwide. Despite their relative frequency, specific measures aiming at their control are not well established. One possible measure to include in a control programme is lactational antimicrobial treatment. The decision to perform such treatment, as well as other actions on farm, should be based on the likelihood of financial return. A deterministic model was used to evaluate whether performing an antimicrobial treatment during the lactation for quarters infected with CNS was financially justifiable. Input variables for the impact of CNS on udder health were based on a previous study by the same authors and on available literature on the subject. Prices included in the model were based on 2009/2010 conditions in Portugal. The average result per antimicrobial treated quarter was a net loss of €38·74. Performing a sensitivity analysis to evaluate how systematic variation of the input variables of the model would lead to outcome changes showed that variation in input variables nearly always led to a negative outcome, with the greatest variation in losses observed for variation in the length of treatment and milk withdrawal period (-€46·26 to -€28·49). The situations in which a net benefit was to be expected included the bulk tank somatic cell count decreasing to a level corresponding to a premium payment or to penalties being avoided, and the prevention of transmission of CNS in the milking parlour when the possibility of transmission was at its highest level. For most situations, lactational treatment of CNS subclinical mastitis was not financially justifiable.

The National Cohort of Dairy Farms—A data collection platform for mastitis research in Canada

Costs and feasibility of extensive sample collection and processing are major obstacles to mastitis epidemiology research. Studies are often consequentially limited, and fundamental mastitis researchers rarely have the opportunity to conduct their work in epidemiologically valid populations. To mitigate these limitations, the Canadian Bovine Mastitis Research Network has optimized research funds by creating a data collection platform to provide epidemiologically meaningful data for several simultaneous research endeavors. This platform consists of a National Cohort of Dairy Farms (NCDF), Mastitis Laboratory Network, and Mastitis Pathogen Culture Collection. This paper describes the implementation and operation of the NCDF, explains its sampling protocols and data collection, and documents characteristics, strengths and limitations of these data for current and potential users. The NCDF comprises 91 commercial dairy farms in 6 provinces sampled over a 2-yr period. Primarily Holstein-Friesian herds participating in Dairy Herd Improvement milk recording were selected in order to achieve a uniform distribution among 3 strata of bulk tank somatic cell counts and to reflect regional proportions of freestall housing systems. Standardized protocols were implemented for repeated milk samplings on clinical mastitis cases, fresh and randomly selected lactating cows, and cows at dry-off and after calving. Just fewer than 133,000 milk samples were collected. Demographic and production data were recorded at individual cow and farm levels. Health management data are documented and extensive questionnaire data detailing farm management and cleanliness information are also captured. The Laboratory Network represents coordinated regional mastitis bacteriology laboratories using standardized procedures. The Culture Collection archives isolates recovered from intramammary infections of cows in the NCDF and contains over 16,500 isolates, all epidemiologically cross-referenced between linked databases. The NCDF is similar to Canadian dairies in relation to mean herd size, average production, and freestall percentages. Pathogen recovery was greater than anticipated, particularly for coagulase-negative staphylococci and Corynebacterium spp. International scientists are encouraged to use this extensive archive of data and material to enhance their own mastitis research.

Treat the Treatable and Manage the Rest

Farm income for many dairies can be improved by increasing the value of milk by taking advantage of somatic cell count (SCC) based milk quality premiums and reducing treatment costs. Recent research has shown that the likelihood of an animal to have a repeat case of clinical mastitis after a first clinical case is about 30%. Pathogen-based treatment protocols should provide a science-based process for selecting the most appropriate treatment and duration of treatment resulting in high bacteriological cure rates and fewer repeated clinical cases. Many infections caused by gram-positive organisms, particularly streptococcal species, respond well to appropriate treatment; cure rates can approach 80% or higher. Most gram-negative pathogens respond poorly to intramammary treatment. Mastitis caused by other pathogens, such as yeast, are exacerbated by intramammary treatment and others, like Prototheca species and mycoplasma, have no known treatment. Generally the normal distribution of mastitis pathogens is about one-third gram-positive organisms, one-third gram-negative pathogens, and one-third no growth culture result, suggesting that pathogen-based treatment protocols have the potential for substantial savings.&#x0D; Duration of treatment for specific mastitis pathogens should have a major influence on cure rates, particularly for a range of streptococcal species and select Staphylococcus aureus infections.&#x0D; There are also opportunities to manage chronic subclinical infections which are often the major contributors to the bulk tank SCC. Milk from high cell count cows can be managed through treatment, segregation of high SCC milk at the quarter level, quarter dry-off, and culling.

Patrones temporales de recuento de células somáticas, grasa, proteína y nitrógeno ureico en leche de estanque y su asociación con fertilidad en ganado lechero en la zona centro-sur de Chile

The objective of this study was to describe and evaluate the dynamics of bulk tank (LE) somatic cell counts (RCS), milk urea nitrogen (NUL), fat (%) and protein (%) and to analyze their association with reproductive indexes, considering monthly LE samples from 187 farms (-12, 000 dairy cows at any time) in Central-Southern Chilean dairy cattle from 1997 to 2007. Reproductive indexes included in the study were calving to first service interval (IPPS, d), calving to conception interval (IPP, d) and services per conception (SC). Bulk tank LNRCS was positively associated with herd size, milk yield (305 mature equivalent), milk solids and NUL. Bulk tank NUL was positively associated with milk yield and LE RCS. Average calving to first service interval was 92.5 d and showed a positive association with LE protein percentage and NUL. Average calving to conception interval was 138.9 d and was positively associated with LE NUL. It is concluded that the most significant changes in LE components during the last 10 years, in Central-Southern Chilean Holstein cattle, corresponded to a decrease in RCS and an increase in NUL. Changes in RCS reflect an improvement in mammary health, milk quality and milk yield. Bulk tank NUL concentrations were high during the last 5 years in study and depended on factors such as milk production, protein percentage, month and year. Bulk tank NUL was the milk component with the most notorious association with reproductive parameters. More data about protein nutrition should be evaluated in this Chilean cattle population.

Economic consequences of mastitis and withdrawal of milk with high somatic cell count in Swedish dairy herds

The main aim was to assess the impact of mastitis on technical and economic results of a dairy herd under current Swedish farming conditions. The second aim was to investigate the effects obtained by withdrawing milk with high somatic cell count (SCC). A dynamic and stochastic simulation model, SimHerd, was used to study the effects of mastitis in a herd with 150 cows. Results given the initial incidence of mastitis (32 and 33 clinical and subclinical cases per 100 cow-years, respectively) were studied, together with the consequences of reducing or increasing the incidence of mastitis by 50%, modelling no clinical mastitis (CM) while keeping the incidence of subclinical mastitis (SCM) constant and vice versa. Six different strategies to withdraw milk with high SCC were compared. The decision to withdraw milk was based on herd-level information in three scenarios: withdrawal was initiated when the predicted bulk tank SCC exceeded 220 000, 200 000 or 180 000 cells/ml, and on cow-level information in three scenarios: withdrawal was initiated when the predicted SCC in an individual cow’s milk exceeded 1 000 000, 750 000 or 500 000 cells/ml. The accuracy with which SCC was measured and predicted was assumed to affect the profitability of withdrawing milk with high SCC and this was investigated by applying high, low or no uncertainty to true SCC. The yearly avoidable cost of mastitis was estimated at €8235, assuming that the initial incidence of mastitis could be reduced by 50%. This cost corresponded to 5% of the herd net return given the initial incidence of mastitis. Expressed per cow-year, the avoidable cost of mastitis was €55. The costs per case of CM and SCM were estimated at €278 and €60, respectively. Withdrawing milk with high SCC was never profitable because this generated a substantial amount of milk withdrawal that was not offset by a sufficient increase in the average price per delivered kg milk. It had the most negative impact on net return when high incidence of mastitis was simulated. Withdrawing milk with high SCC based on low-uncertainty information reduced the amount of withdrawn milk and thus resulted in less negative effect on net return. It was concluded that the current milk-pricing system makes it more profitable for farmers to sell a larger amount of milk with higher SCC than to withdraw milk with high SCC to obtain payment premiums, at least in herds with mastitis incidences within the simulated ranges.

Costs and efficacy of management measures to improve udder health on Dutch dairy farms

Many different management measures are available to control mastitis, a very costly disease in the dairy sector. The objective of this paper was to evaluate the costs and efficacies of 18 of these management measures, for contagious and environmental pathogens, and their effect on bulk tank somatic cell count (BTSCC) and incidence of clinical mastitis (CM). To determine the efficacies for these management measures, literature data and expertise were combined using Monte Carlo expert evaluation analysis. The effect of management measures varied with the incidence of CM and BTSCC, as well as for environmental and contagious problems. On average, postmilking teat disinfection was found to be the most effective measure in all situations. All management measures had large uncertainty around the most likely value. Results of a data envelopment analysis showed that 4 of the management measures included formed the best-practice frontier (the most cost-efficient measures): keeping cows standing after milking, rinsing clusters after milking a clinical case, using a separate cloth for all cows, and wearing milkers’ gloves. Of the top 25 management measures (the 18 base management measures including levels of compliance), 8 were measures with 100% compliance; the others were sublevels of these measures with compliance varying between 25 and 100%. A lower hourly rate of the farmer did not influence management measures from the best-practice frontier, but had some effect on the efficiency scores of the other management measures.

Microbiological quality of bulk tank raw milk in Prince Edward Island dairy herds

The objectives of this study were to evaluate microbiological quality of bulk tank milk in Prince Edward Island, to evaluate correlation among milk quality criteria, and to determine seasonal effects on milk quality parameters. Bulk tank raw milk quality was evaluated on all Prince Edward Island dairy herds (n = 235) over a 2-yr period (March 2005 to March 2007). Biweekly total aerobic (TAC), preliminary incubation (PIC), laboratory pasteurization, and coliform (CC) counts were determined using a Petrifilm culture system. Additionally, bulk tank somatic cell count was determined weekly. The mean and median values were 12.8×103 and 4.9×103cfu/mL for TAC, 29.6×103 and 13×103cfu/mL for PIC, 87 and 12cfu/mL for laboratory pasteurization count, 21 and 5cfu/mL for CC, and 218×103 and 187×103cells/mL for somatic cell count. There was moderate correlation (0.57) between TAC and PIC. All other correlation coefficients were low (<0.26). Correlation results suggest that a single quality parameter could not predict others used in this study. Seasonal data indicate that 1) in general, all counts tended to be low in winter, 2) the CC and somatic cell count were always high in summer, and 3) TAC tended to be high during summer.

Farm management factors associated with bulk tank somatic cell count in Irish dairy herds

The relationship between bulk tank somatic cell count (SCC) and farm management and infrastructure was examined using data from 398 randomly selected, yet representative, Irish dairy farms where the basal diet is grazed grass. Median bulk tank SCC for the farms was 282,887 cells/ml ranging from 82,209 to 773,028 cells/ml. Two questionnaires were administered through face-to-face contact with each farmer. Herd-level factors associated with bulk tank SCC were determined using linear models with annual somatic cell score (i.e., arithmetic mean of the natural logarithm of bulk tank SCC) included as the dependent variable. All herd level factors were analysed individually in separate regression models, which included an adjustment for geographical location of the farm; a multiple regression model was subsequently developed. Management practices associated with low SCC included the use of dry cow therapy, participation in a milk recording scheme and the use of teat disinfection post-milking. There was an association between low SCC and an increased level of hygiene and frequency of cleaning of the holding yard, passageways and cubicles. Herd management factors associated with bulk tank SCC in Irish grazing herds are generally in agreement with most previous studies from confinement systems of milk production.

Monitoring major mastitis pathogens at the population level based on examination of bulk tank milk samples

The objective was to determine the proportions and bacterial counts of major mastitis pathogens in samples of bulk tank milk (BTM), as well as to clarify the relationship between these bacteria counts and bulk tank somatic cell count (BTSCC). The purpose was to judge the importance of the counts of mammary pathogens for BTSCC at the population level. Samples of BTM were collected from 268 randomly selected anonymous dairy herds (with approximately 29 000 dairy cows). Staphylococcus aureus, other coagulase-positive staphylococci, Streptococcus agalactiae and Streptococcus dysgalactiae were grouped as contagious pathogens, and Streptococcus uberis, Escherichia coli, Pseudomonas aeruginosa, Enterococcus faecalis and Enterococcus faecium as environmental pathogens. Based on assessment of the dominant pathogen in each herd, environmental pathogens were found to dominate. Counts of specific mammary pathogens in BTM samples did not exceed a geometric mean of 1000 cfu/ml. Significant differences were documented in BTSCC between BTM samples containing Str. agalactiae, Staph. aureus, and Str. dysgalactiae and BTM samples that were pathogen-free. Geometric means of BTSCC associated with these pathogens were noticeably higher than the overall BTSCC (Str. agalactiae 243 628; Staph. aureus 205 610; Str. dysgalactiae 203 978; overall 173 000 cells/ml). It follows that the somatic cell count (SCC) associated with these pathogens contributed substantially to the overall BTSCC. Environmental pathogens predominated in samples of BTM with SCC <300x103/ml and contagious mastitis pathogens predominated in BTM samples with SCC >300x103/ml. No correlation was detected between bacterial counts of specific pathogens and BTSCC. This study revealed that the assessment of bacterial counts of mammary pathogens in samples of BTM in relation to BTSCC is applicable for the monitoring of changes in the occurrence of major mastitis pathogens in dairy herds at a national level.