Usefulness of Cell Counts in Predicting Bovine Mastitis

Lindstrøm, Ulf; Kenttämies, Hilkka; Arstila, J.; Tuovila, Raili

doi:10.1080/00015128109435317

Cited by 19 publications

(6 citation statements)

References 5 publications

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“…This is true for both the total and the healthy data subset. In the present work the variations between lactation numbers were not as consistent as described by Blackburn (1966Blackburn ( , 1968, Ruffo et al (1978), Lindstrom et al (1981) and Brolund (1985), but nevertheless indicated an increase in SCC in advanced lactation numbers.…”

Section: Discussionsupporting

confidence: 70%

Effects of parity and stage of lactation on adenosine triphosphate, somatic cell count and antitrypsin content in cows' milk

Emanuelson

Olsson²,

Mattila

et al. 1988

Journal of Dairy Research

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SummarySignificant effects of parity and stage of lactation were found on ATP content, somatic cell count and antitrypsin content when using morning milk samples from 39 cows over a period of 18 months. A close similarity was evident between variation in ATP and somatic cell count, except during the first 10 d after parturition when the variation in ATP was more pronounced. The same result was obtained in the whole material as well as in a healthy subset. This study shows clearly that parity and stage of lactation must be taken into account when establishing normal values for ATP as an indicator of mastitis.

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Section: Discussionsupporting

confidence: 70%

Effects of parity and stage of lactation on adenosine triphosphate, somatic cell count and antitrypsin content in cows' milk

Emanuelson

Olsson²,

Mattila

et al. 1988

Journal of Dairy Research

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“…Figure 2 illustrates that if weight is put on one single test day, the probability for such wrong decisions will increase. It is also known that stage of lactation, season, milk yield, number of lactations and production level will influence CMSCC (Lindstrøm et al 1981;Jaartsveld et al 1983;Brolund, 1985;Verdi & Barbano, 1991;Harmon, 1994). This is difficult to rectify, other than with improvement of prevention precautions.…”

Section: Discussionmentioning

confidence: 99%

Associations between somatic cell counts at calving or prior to drying-off and future somatic cell counts, in the remaining or subsequent lactation

Whist

Østerås

2006

Journal of Dairy Research

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Composite milk somatic cell counts (CMSCC) from four separate datasets, containing 3338, 350, 1408 and 1404 herds, were used. All herds were enrolled in the Norwegian Dairy Herd Recording System (NDHRS). The aim was to investigate associations between CMSCC at calving or prior to drying-off and future CMSCC in the remaining or subsequent lactation. CMSCC was determined using Fossomatic 5000 cell counters (Foss Electric, Hillerød, Denmark) according to IDF recommendations (International Dairy Federation, 1984) and a natural logarithmic transformation of the CMSCC data (lnCMSCC) was performed. Results obtained were arranged according to parity and lactation stage and regression models and general linear mixed models were applied, the latter model to account for clustering between herds. The best associations between CMSCC at calving or prior to drying-off and future CMSCC in the remaining or subsequent lactation were found by using at least two CMSCC test days after calving or prior to drying-off. The geometric mean of the second and third or the first three CMSCC test days explained 50% of the variation in future CMSCC in first parity cows. This information was accessible at 151 days in milk (DIM) in bimonthly tested herds, and at 87 DIM for monthly tested herds. There was not a large difference using two or three single consecutive weighted CMSCC test days compared with the geometric mean of two or three CMSCC test days. Our findings indicate the need of using at least two CMSCC test days and, if only one CMSCC test day is used, it should be obtained after 14 d post-calving or preferably after 30 DIM.

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“…Lactation average SCC increases with increasing parity (Blackburn, 1966;Lindström et al, 1981). In the current study, SCC adjusted for SCC of healthy cows (CSCC) was used, which was also corrected for lactation stage and parity effect.…”

Section: Effect Of Parity and Percentage Hf On Presence Of Patternsmentioning

confidence: 99%

Associations Between Pathogen-Specific Cases of Clinical Mastitis and Somatic Cell Count Patterns

Haas¹,

Veerkamp²,

Barkema

et al. 2004

Journal of Dairy Science

108

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Associations were estimated between pathogen-specific cases of clinical mastitis (CM) and somatic cell count (SCC) patterns based on deviations from the typical curve for SCC during lactation and compared with associations between pathogen-specific CM and lactation average SCC. Data from 274 Dutch herds recording CM over an 18-mo period were used. Pathogens found were Staphylococcus aureus, coagulase-negative staphylococci, Escherichia coli, Streptococcus dysgalactiae, Streptococcus uberis, streptococci other than Strep. dysgalactiae and Strep. uberis, and culture-negative samples. The dataset contained 245,595 test-day records on SCC, recorded in 24,012 lactations of 19,733 cows of different parities. Pattern definitions were based on three or five consecutive test-day records. The patterns differentiated between a short or longer period of increased SCC and also between lactations with and without recovery. Logistic regression was applied to identify associations between presence of patterns and occurrence of pathogens. Occurrence of overall CM in a lactation is equally or even more accurately predicted by the presence of SCC in that lactation, than by a lactation average SCC of more than 200,000 cells/mL. Patterns can also distinguish between chances of risk for specific mastitis-causing pathogens. Clinical E. coli mastitis was significantly associated with the presence of a short peak in SCC, whereas Staph. aureus was associated with long increased SCC. Streptococcus dysgalactiae was not strongly associated with any of the defined patterns of peaks in SCC, and no single unambiguous pattern was found for Strep. uberis.

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Usefulness of Cell Counts in Predicting Bovine Mastitis

Cited by 19 publications

References 5 publications

Effects of parity and stage of lactation on adenosine triphosphate, somatic cell count and antitrypsin content in cows' milk

Effects of parity and stage of lactation on adenosine triphosphate, somatic cell count and antitrypsin content in cows' milk

Associations between somatic cell counts at calving or prior to drying-off and future somatic cell counts, in the remaining or subsequent lactation

Associations Between Pathogen-Specific Cases of Clinical Mastitis and Somatic Cell Count Patterns

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