Somatic Cell Count, Electrical Conductivity, and Serum Albumin Concentration for Detecting Bovine Mastitis

SummaryWe have evaluated the usefulness in mastitis diagnostics of new diagnostic measures using the continuous nature of the variation in quarter milk samples of four inflammatory markers: somatic cell count, N-acetyl-β-glucosaminidase (EC 3.2.1.30), electrical conductivity and antitrypsin. A two-way analysis of variance was performed for each of the inflammatory markers on results from 273 cows sampled six times at 14 d intervals. Adjustment for the individual cow's mean removed approximately half the total variation for all four markers, indicating that comparisons in marker levels between quarters without taking the cows' overall level into account, as is done in diagnostic keys based on fixed threshold, is a rash procedure. After adjusting for the individual cow means, the total variation of the marker observations was partitioned in three sources of variation: between the four quarter levels, between different sampling days, and the experimental error, i.e. the variation within each quarter over-the study period. As expected, the variation between quarters accounted for the largest percentage of the variation (44–65%). In contrast the variation between days was only 16–34% and of the same magnitude as the experimental error. These figures can profitably be taken into account when designing experiments in future mastitis research studies. They imply that mastitis diagnostics based on quarter milk samples collected over time will be influenced only slightly by random biological variation and that the same relative differences that exist in marker levels between the four quarters of a cow as a rule will be disclosed irrespective of sampling day. Thus, the udder health state is relatively stable when determined by these inflammatory markers. In addition to simple correlations between markers measured on the same day, correlations of the logarithm of the interquarter ratios and of the experimental errors were computed. Stronger associations between the markers emerged and these correlations reflect more precisely than simple correlations the real diagnostic relations of the markers.

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Management: Mastitis pattern analysis - a fresh look at the analysis of bovine mastitis: Part I - somatic cell count data

Livestock ◽

10.1111/j.2044-3870.2007.tb00134.x ◽

2007 ◽

Vol 12 (7) ◽

pp. 29-35 ◽

Cited By ~ 1

Author(s):

Andrew Bradley ◽

James Breen ◽

Martin Green

Keyword(s):

Somatic Cell ◽

Cell Count ◽

Count Data ◽

Somatic Cell Count ◽

Pattern Analysis ◽

Bovine Mastitis

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Progressive changes in individual milk protein concentrations associated with high somatic cell counts

Journal of Dairy Research ◽

10.1017/s002202990002015x ◽

1977 ◽

Vol 44 (2) ◽

pp. 223-235 ◽

Cited By ~ 68

Author(s):

M. Anderson ◽

A. T. Andrews

Keyword(s):

Serum Albumin ◽

Somatic Cell ◽

Cell Count ◽

Somatic Cell Count ◽

Milk Protein ◽

Proteolytic Enzymes ◽

Milk Proteins ◽

Blood Proteins ◽

Endotoxin Infusion ◽

Cell Counts

SummaryProgressive changes in the concentrations of milk protein components were followed after infusions ofStreptococcus agalactiaeor bacterial endotoxin into different quarters of individual cows. Both types of infusion produced similar increases in somatic cell count and resulted in similar changes in milk proteins, although the effects of the endotoxin infusion lasted for a shorter length of time.The treatments had little effect on α-lactalbumin and β-lactoglobin concentrations, but serum albumin and immunoglobulin (Ig) concentrations increased markedly. The greatest effect on serum albumin was after the endotoxin infusion and on Ig after theStr. agalactiaeinfusion. Changes in the individual globulins indicated that passive transfer of blood proteins to milk could not account for the observed increases in IgM and IgA.αs1-Casein and β-casein concentrations were reduced and inversely related to somatic cell count during the immediate post-infusion period, and this was accompanied by an increase in para-κ-casein. Para-κ-casein was not detected in pre-infusion or post-recovery milk samples. The decrease in β-casein was greater than that of αs1-casein. Casein concentrations returned to pre-infusion levels 2 d and 5 d after the endotoxin andStr. agalactiaeinfusions respectively.The possibility that proteolytic enzymes are partly responsible for the changes in casein concentration is discussed.

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Electrical conductivity and somatic cell count in zebu cow’s milk

Semina Ciências Agrárias ◽

10.5433/1679-0359.2017v38n5p3231 ◽

2017 ◽

Vol 38 (5) ◽

pp. 3231

Author(s):

Emmanuella De Oliveira Moura ◽

Adriano Henrique do Nascimento Rangel ◽

Luis Henrique Fernandes Borba ◽

José Geraldo Bezerra Galvão Júnior ◽

Guilherme Ferreira da Costa Lima ◽

...

Keyword(s):

Electrical Conductivity ◽

Somatic Cell ◽

Cell Count ◽

Somatic Cell Count ◽

Pearson Correlation ◽

Milk Composition ◽

Monthly Data ◽

Total Solids ◽

Physico Chemical ◽

The City

The objective was to evaluate the physico-chemical composition, somatic cell count and electrical conductivity of the milk from lactating Zebu cows. For this, monthly milk samples were collected on the official milk control day intended for analysis of electrical conductivity of milk (ECM), somatic cell count (SCC) and milk composition. We used monthly data from 680 controls, from 10 Gyr and 17 Guzerat cows from a herd located in the city of São Gonçalo do Amarante/RN, from August to November 2013. Analyses of variance, mean test and Pearson correlation analysis were conducted. The levels of fat (% F), protein (% P), lactose (% L), total solids (% TS) and non-fat dry extract (% NFDE) were dependent variables for the ECM and SCC. The milk of Gyr cows for ECM, SCC, GOR, PROT, LACT, TS and NFDE were respectively, 3.88±1.18 mS/cm, 1629±2195 thousands cells/mL, 4.71±1.77%, 3.29±0.31%, 4.5±0.33%, 13.5±1.78%, 8.79±0.37%, and for the Guzerat breed 3.59±0.88 mS/cm 1356±1793 thousands cells/mL, 4.47±0.98%, 3.43±0.32%, 4.52±0.24%, 13.5±1.19%, 9.02±0.48%. No significant correlations between SCC and ECM characteristics were observed. However, when the correlation of each of these parameters and milk composition in different classes for each breed was analyzed, a significant correlation of the SCC was observed with the protein and lactose in Gyr, of the ECM with the lactose and SCC with total solids and fat for the Guzerat cows.

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