ClassyFarm and welfare indicators in dairy cattle farming
Objectives:The study aimed to test whether plasma cortisol, interleukin-6 (IL-6), and individual Somatic Cell Count (SCC) can act as reliable proxies for the ClassyFarm risk rank.Materials and Methods:Three Animal-Based Measures (ABMs) (plasma cortisol, IL-6, and SCC) were evaluated and compared with the ClassyFarm risk rank, which is a farm-specific risk score, across three dairy cattle farms (A, B, and C). The ClassyFarm risk rank was 10, 13, and 17 on farms A, B, and C, respectively.Results:Our findings revealed a strong correlation between plasma cortisol levels and SCC across all herds (r > 0.70), particularly in B (r = 0.92). The SCC values generally complied with Regulation (EC) No. 853/2004 of the European Commission. However, IL-6 levels did not show a statistically significant correlation with the other ABMs (r < 0.6).Conclusions:This preliminary study indicates satisfactory agreement between the risk analysis conducted using the ClassyFarm system, as reflected in the ClassyFarm risk rank, and the ABMs investigated. These measures might serve as good real-time proxies for the ClassyFarm risk rank, helping implement any required corrective measures on the farm more promptly.
- Research Article
99
- 10.1016/j.prevetmed.2006.04.012
- Jun 14, 2006
- Preventive Veterinary Medicine
On distinguishing cause and consequence: Do high somatic cell counts lead to lower milk yield or does high milk yield lead to lower somatic cell count?
- Research Article
3
- 10.56369/tsaes.3721
- Aug 31, 2021
- Tropical and Subtropical Agroecosystems
<p><strong>Background:</strong> Dairy farm manager must apply strategic planning to manage the complexity of dairy production systems and produce high-quality milk. <strong>Objective.</strong> To identify and group dairy farms on the basis of milk yield and composition, animal data, and farm characteristics. <strong>Methodology.</strong> Official milk records and production variables of 26 dairy farms and 45,343 cows in the region of Arapoti, Paraná, southern Brazil (24°49′36″S 49°49′36″W, 860 m elevation), were assessed. Milk yield and composition data were analyzed using multiple correspondence analysis (MCA) and ascending hierarchical classification (AHC) followed by simple linear regression analysis. <strong>Results.</strong> AHC afforded five clusters of dairy farms, grouped according to milk yield and composition. MCA showed that cow age influenced mammary gland health, whereas feed management and lactation stage influenced milk composition. Regression analysis indicated that the relationships between milk composition parameters and lactation number had the same behavior in all clusters; milk protein and lactose contents decreased with increasing lactation number. A relationship was found among cow age, lactation stage, and mammary gland health, as well as among milk yield, cow age, and mammary gland health. Somatic cell count increased with cow age. Low milk yield was associated with high somatic cell counts. Mammary gland health was affected by lactation stage, and milk composition was influenced by feeding management and lactation number (cow age). <strong>Implications</strong>. The comprehension of the relationship between milk production and composition on dairy cattle farms can suggest specific decision-making for group of milk farmers, regarding nutritional and milk quality according to the production, composition and somatic cell count. <strong>Conclusion. </strong>A relationship was found among cow age, lactation stage, and mammary gland health as well as among milk yield, cow age, and mammary gland health. Multivariate statistical analysis helped to understand the relationship between milk production and composition in these dairy cattle farms. Based on these grouping results, we can suggest specific decision-making for each group of producers, regarding nutritional and milk quality according to the production, composition and somatic cell count.</p>
- Research Article
6
- 10.1080/00480169.2015.1093970
- Oct 29, 2015
- New Zealand Veterinary Journal
AIM: To assess the effect of combining an internal teat sealant (ITS) and a long-acting cephalonium-based dry cow therapy (DCT) on the prevalence of cows with a somatic cell count (SCC) >150,000 cells/mL 60–80 days after calving, and the incidence of clinical mastitis diagnosed by farm staff in the first 100 days after calving.METHODS: Cows from a spring-calving, pasture-based, dairy farm in the South Canterbury region of New Zealand were randomly allocated to receive cephalonium DCT (n=289) or cephalonium and internal teat sealant (n=304) at the end of lactation. Cows were inspected twice daily by farm staff during the dry period and following calving for signs of mastitis. Individual SCC were determined from herd tests conducted in the previous lactation and following calving. Logistic regression models were used to determine relationships with the prevalence of cows with a SCC >150,000 cells/mL after calving, and survival analysis was used to model time to the first case of clinical mastitis following calving at the cow and quarter level.RESULTS: The OR for a cow with a SCC >150,000 cells/mL after calving, including age and individual SCC in the preceding lactation in the model, was 0.53 (95% CI=0.32–0.89) for cows treated with combination therapy compared to cows receiving cephalonium (p=0.017). At the cow level, including age and preceding SCC in the model, the hazard ratio for diagnosis of clinical mastitis by farm staff in the first 100 days of lactation was 0.60 (95% CI=0.39–0.98) for cows treated with combination therapy compared to cows receiving cephalonium (p=0.04). At the quarter level, the hazard ratio for diagnosis of clinical mastitis, with age included in the model, was 0.41 (95% CI=0.23–0.74) for the combination therapy compared to cephalonium alone (p<0.001).CONCLUSIONS: The combination of internal teat sealant and cephalonium DCT was more effective than cephalonium alone at reducing clinical mastitis diagnosed by farm staff in the 100 days after calving, and the prevalence of cows with a SCC >150,000 cells/mL 60–80 days after calving.CLINICAL RELEVANCE: This study adds to the evidence that the prevention of intra mammary infections throughout the dry period and up to calving by using combination therapy is important in reducing the incidence of farmer-diagnosed clinical mastitis and prevalence of cows with a SCC >150,000 cells/mL 60–80 days after calving.
- Research Article
98
- 10.1016/s0301-6226(99)00051-2
- Aug 1, 1999
- Livestock Production Science
Reduction in milk yield associated with somatic cell counts up to 600 000 cells/ml in French Holstein cows without clinical mastitis
- Research Article
24
- 10.1080/09291016.2017.1350442
- Jul 13, 2017
- Biological Rhythm Research
Chances of mammary infections are comparatively higher in high producing cows during harsh environmental conditions and are usually characterised by changes occurring in various somatic cells secreted in the milk and their activities. The present study was conducted to record diurnal rhythmicity in milk somatic cell counts (SCC), neutrophil: macrophage (N: M) ratio, phagocytic activity (PA) of milk neutrophils and plasma cortisol concentrations during different seasons and parity in high producing Karan Fries cows. Values of milk SCC, N: M ratio and plasma cortisol levels were lowest during thermoneutral (TN), intermediate in winter and highest during the summer season. Diurnal rhythm in the milk SCC and N: M ratio was noticed in the summer while plasma cortisol exhibited diurnal rhythm in both winter and summer seasons. Milk SCC, N: M ratio and plasma cortisol increased in multiparous cows, but diurnal variation was noticed only in the N: M ratio and plasma cortisol in cows having more than four parity. Phagocytic activity of milk neutrophils was highest during TN, intermediate in winter and lowest during the summer season. Phagocytic activity was higher and similar in cows up to fourth parity but decreased in subsequent lactation cycles. Diurnal rhythm in the PA was noticed in winter and summer seasons and in cows having more than four parity where morning samples showed higher phagocytosis as compared to the evening samples. These results can be used for immunomodulatory interventions and therapeutic approaches in treating mastitis of crossbred cows reared under tropical conditions.
- Research Article
- 10.3168/jds.2026-28240
- May 18, 2026
- Journal of dairy science
Estimation of individual somatic cell counts using single-nucleotide polymorphisms from bulk milk samples.
- Research Article
2
- 10.3390/ani13132169
- Jul 1, 2023
- Animals
Intramammary infections, which cause mastitis, can increase treatment and labor costs, decrease milk production, and affect milk quality. Meters that measure quarter somatic cell count (SCC) could be used to make more informed dry cow therapy decisions. The objective of this study was to compare the RT-10 iPhone adapter (RT-10; Dairy Quality Inc., Newmarket, ON, Canada), DeLaval Cell Counter (DSCC; DeLaval, Gurnee, IL, USA), Porta Check Quick Test (PortaCheck, White City, OR, USA), California Mastitis Test (ImmuCell, Portland, ME USA), pH meter (Hanna Instruments, Smithfield, RI, USA), electrical conductivity meter (OHAUS, Parsippany, NJ, USA), and the dual laser infrared temperature thermometer (Klein Tools, Lincolnshire, IL, USA) for measuring SCC in individual Holstein mammary quarters in comparison to a reference standard, the Fourier Transform Spectrometer 600 Combi System (Combi; Bentley Instruments, Chaska, MN, USA). Meters were evaluated using 658 individual cow quarter samples and 100 bulk-tank samples to measure SCC. Individual quarter milk samples from 160 cows from four commercial dairy herds were collected just before dry off and tested within 4 h of collection. To test bulk-tank SCC, 100 bulk-tank milk samples (25 mL) were collected from UC Davis Veterinary Medicine Teaching and Research Milk Quality Lab. Meter SCC values were regressed on observed Combi SCC. Goodness of fit was then evaluated by partitioning the mean square predicted error (MSPE). For individual quarter SCC, RT-10 had the highest coefficient of determination (R2 = 0.86), lowest MSPE, and highest proportion of MSPE due to random variation (96%). Both the RT-10 and DSCC had the highest sensitivity and specificity for identifying quarter SCC above and below 200,000 cells/mL. For bulk-tank SCC, DSCC had the highest coefficient of determination (R2 = 0.45), lowest MSPE, and highest proportion of MSPE due to random variation (80%). The RT-10 and DSCC could be used to measure individual quarter SCC to determine which cows to treat at dry off potentially reducing antibiotic use.
- Research Article
14
- 10.4314/sajas.v44i2.10
- Jul 24, 2014
- South African Journal of Animal Science
Somatic cell count (SCC) is of economic importance in dairy production as it directly influences the revenue from the sale of milk. The current study was carried out to determine the economic value of SCC in South African Holstein and Jersey cattle, in order to establish its relative emphasis in breeding objectives. Bulk-tank SCC was calculated from individual cow test-day SCC for 183 Jersey and 209 Holstein herds that participated in the national milk recording scheme in 2012. SCC premium schemes of the two major milk buyers in the country were used, and herds belonged to either a concentrate-fed or pasture-based production system. The economic value of SCC was determined as the simulated change in profit per cow per year, following a 1% increase in individual bulk-tank SCC. Estimated breeding values (EBVs) are based on log10 transformed SCC (somatic cell score, SCS); therefore the final economic value was expressed in South African rand (ZAR) per SCS. Relative economic values, standardized to the value of protein, were used to compare the relative importance of SCS with other objective traits. An increase in SCS by one unit resulted in decreases in profit ranging from ZAR 491.48 to ZAR 1795.57 per cow per year, depending on the breed, production system and payment system. Economic value was nearly double in the Holstein compared with the Jersey, as well as in the concentrate-fed system relative to the pasture-based system. SCS was among the most important traits in the breeding objective, its value ranging from 26% to 118% compared with the most important trait, protein. High relative emphasis should therefore be placed on SCS in breeding objectives for Holstein and Jersey cattle in South Africa. Keywords : Relative economic value; somatic cell score; breeding objectives
- Research Article
17
- 10.3168/jds.2021-21026
- Apr 2, 2022
- Journal of Dairy Science
Since 2013, selective dry cow treatment (SDCT) has been the standard approach in the Netherlands where farmers select cows for the use of antimicrobials at drying-off. Shortly after its introduction, antimicrobial usage decreased significantly, and no significant association was found between the level of SDCT and clinical mastitis (CM). Obviously, at that time long-term associations could not be evaluated. This study aimed to provide insight into the methods and level of implementation of SDCT on Dutch dairy farms with a conventional milking system (CMS) or an automatic milking system (AMS) in 2016 and 2017, several years after the implementation of SDCT. Udder health and antimicrobial use were also assessed. For this study, 262 farmers recorded dry cow treatments as well as all CM cases in the period from May 1, 2016, until April 30, 2017. Additionally, somatic cell count (SCC) data on cow and herd level, treatment data on herd level and questionnaire results on udder health management were collected. Data were analyzed using descriptive statistics with differences between milking systems being evaluated using nonparametric univariable statistics. In the study period, SDCT was applied on almost all (98.8%) of the participating dairy farms. The main reason for applying antimicrobials at drying-off was either the SCC history during the complete previous lactation or the SCC at the last milk recording before drying-off. The median percentage of cows treated with antimicrobials was 48.5%. The average incidence rate of CM was 27.3 cases per 100 cows per year. From all CM cases that were registered per herd, on average 32.8% were scored as mild, 42.2% as moderate, and 25.0% as severe CM. The mean bulk tank SCC of the herds was 168,989 cells/mL. A cow was considered to have subclinical mastitis (SCM) if individual SCC was ≥150,000 cells/mL for primiparous and ≥250,000 cells/mL for multiparous cows. Passing these threshold values after 2 earlier low SCC values was considered a new case of SCM. The mean incidence rate of SCM in these herds was 62.5 cases per 100 cows per year. Bulk tank SCC and the incidence rate of SCM on farms with a CMS were statistically lower than on farms with an AMS, whereas the incidence rate of CM did not significantly differ between both groups of farms. The AMS farms had more cows per herd treated with antimicrobials at drying-off and a larger proportion of severe CM cases than did CMS farms. It is unknown whether the differences are due to the milking system or to other differences between both types of farms. This study showed the level of adoption of SDCT, udder health, and antimicrobial usage parameters several years after the ban on the preventive use of antimicrobials in animal husbandry. It found that udder health parameters did not differ from those found in Dutch studies before and around the time of implementing SDCT, whereas SDCT was widely applied on Dutch dairy farms during the study period. Therefore, it was concluded that Dutch dairy farmers were able to handle the changed policy of antimicrobial use at drying-off while maintaining indicators of a good udder health.
- Research Article
21
- 10.3168/jds.2014-8052
- Dec 12, 2014
- Journal of Dairy Science
Within-day variation and effect of acute stress on plasma and milk cortisol in lactating goats
- Research Article
38
- 10.3168/jds.2016-11114
- Jun 16, 2016
- Journal of Dairy Science
The objective of this study was to determine the efficacy of an internal teat sealant (TS; Teatseal; Zoetis Australia, Silverwater, NSW, Australia), when used in combination with antibiotic dry-cow therapy (ADCT) administered at dry-off, on milk individual somatic cell count (ISCC), milk production and components, and the incidence of clinical and subclinical mastitis in dairy cows up to 60 d after calving, when compared with ADCT only. Multiparous Holstein, Jersey, or Holstein cross cows (n=2,200) from 8 farms in southern and eastern Australia were randomly assigned to treatment of all 4 quarters with ADCT alone or with ADCT plus TS (ADCT + TS) at dry-off in this randomized, multisite clinical trial. Individual milk yield, fat and protein percentages, and ISCC were measured at intervals of 14±3 d after calving for the first 60 d of lactation. The first measurement occurred between 10 and 24 d after calving. Clinical mastitis and health events were recorded from dry-off to 60 d of lactation. Milk samples were collected from first cases of clinical mastitis and subjected to bacteriology. Treatment and the interaction of treatment by time did not affect milk yield, ISCC weighted by milk yield, or fat and protein percentages. Treatment with ADCT + TS decreased geometric mean ISCC compared with treatment with ADCT alone over the first 60 d of lactation. Geometric mean ISCC (×103 cells/mL) was 32.0 [95% confidence interval (CI): 26.8 to 38.3] and 43.5 (95% CI: 36.2 to 52.1) for ADCT + TS and ADCT alone, respectively. The odds of at least 1 case of subclinical mastitis (ISCC ≥250,000 cells/mL) were 1.9 times higher (95% CI: 1.4 to 2.6) with ADCT alone in the first 60 d of lactation compared with ADCT + TS. Use of ADCT + TS reduced the estimated incidence of at least 1 case of subclinical mastitis on all 8 farms, compared with use of ADCT alone. Only 4 cows that calved 40 to 100 d after dry-off had a first case of clinical mastitis in the dry period. Five percent of cows (76 cases from 1,528 cows included in this analysis) that calved 40 to 100 d after dry-off had a first case of clinical mastitis between 0 and 60 d in milk. Of these first cases of clinical mastitis, 43 cases (5.7% of 761 cows) occurred in the ADCT group and 33 (4.3% of 767 cows) in the ADCT + TS group, but this was not significantly different. Proportional hazards estimates of survival showed no difference in the number of days postcalving to detection of first cases of clinical mastitis between the ADCT and ADCT + TS groups over the first 60 d postpartum. The estimated hazard ratio for clinical mastitis over this period in the ADCT + TS cows (relative to ADCT alone) was 0.70 (95% CI: 0.43 to 1.14). The combination of ADCT and TS provides benefits over ADCT use alone through improved prevention of subclinical mastitis and reduced ISCC in the first 60 d of lactation.
- Research Article
20
- 10.1017/s1357729800009413
- Apr 1, 1998
- Animal Science
The economic value of somatic cell count payment schemes for UK dairy cattle breeding programmes
- Research Article
7
- 10.17533/udea.rccp.324204
- Jul 25, 2016
- Revista Colombiana de Ciencias Pecuarias
Summary In order to establish a mathematical model with which to predict the Bull Tank Somatic Cell Count (BTSCC) of herds with sub clinical mastitis and to search for possible relationships between CMT results and individual somatic cell counts (SCC) or BTSCC, a descriptive study was carried out in two farms located in the dairy region of Antioquia (Colombia), in which lactating dairy cows (n = 95) were sampled during the morning and afternoon milking (once a month/3 months). CMT evaluation was performed at the afternoon milking at each time point of evaluation. In addition, total milk produced by individual cows was recorded and a milk sample was taken to perform SCC. Similarly, three samples of milk were taken from the tank to measure BTSCC. All milk samples were processed by triplicates by using a Fossomatic-90 equipment. Logarithmic transformation of data were done to normalize the SCC and BTSCC results according to the model: logarithmic SCC (SCCL) = Log2(SCC/100) +3, and analysis of variance were performed. A significant relationship (p < 0.05) was found between the percent of positive quarters (at least one cross by CMT) and the BTSCC taken at the afternoon milking. Accordingly, a model was established to define the BTSCC value depending on the percentage of CMT positive quarters. The average SCC of 206.630 and 145.935 cel/ml, were found for afternoon and morning milking, respectively; in as much as the average BTSCC found were 186.830 and 93.145 cel/ml, for afternoon and morning milking, respectively. Furthermore, a significant relationship (p < 0.05) was found between the SCC of the afternoon milking and the BTSCC. The BTSCC values were lower than the limit values accepted for the United Sates and European countries, which suggest that under strictly controlled management policies the dairy herds from Antioquia could meet the international standards for milk exportation. Finally, further studies are required in order to precise and define the source of variations found between the SCC and BTSCC for both the morning and afternoon milking.
- Research Article
70
- 10.3168/jds.2017-13555
- Feb 1, 2018
- Journal of Dairy Science
Effects of reduced intramammary antimicrobial use during the dry period on udder health in Dutch dairy herds
- Research Article
- 10.21423/bovine-vol44no2p138-145
- Jun 1, 2010
- The Bovine Practitioner
The objective of the study was to determine etiologic agent(s) of intramammary infections (IMI) in high somatic cell count (SCC) dairies in Tennessee. This was a prospective study utilizing 2,444 dairy cows from 20 high SCC dairy herds. Composite milk samples were aseptically collected from lactating cows in 20 dairy herds with a rolling herd average SCC >400,000 cells/mL. Milk samples were cultured and mastitis pathogens identified following procedures recommended by the National Mastitis Council. The average herd percentage (average of the 20 herd averages) of culture-negative cows was 49%. The average herd percentages of positive-culture cows were 28% for coagulase-negative staphylococci (CNS), 15% for Staphylococcus aureus, 10% for environmental streptococci (ES), and ?2% for gram-negative organisms. Among cows with individual SCC >1 million cells/mL, 30% of cultures yielded Staph. aureus, 23% CNS, 26% no growth, 26% ES, and 5% gram-negative organisms. Among cows with individual SCC >400,000 cells/mL, cultures yielded 26% CNS, 30% no growth, 28% Staph. aureus, 21% ES, and 4% gram-negative organisms. Staph. aureus was the most common major pathogen, or equally common major pathogen, in 75% of high SCC herds. Environmental streptococci were the most common major pathogen, or equally common major pathogen, in 45% of high SCC herds. Staph. aureus is the major pathogen, followed by ES, among Tennessee dairy herds with high SCC. Coagulase-negative staphylococci are common, but their significance needs to be determined. Gram-negative organisms do not appear to be significant pathogens of Tennessee dairy herds with persistently high SCC.