scholarly journals Suitability of somatic cell count, electrical conductivity, and lactate dehydrogenase activity in foremilk before versus after alveolar milk ejection for mastitis detection

2019 ◽  
Vol 102 (10) ◽  
pp. 9200-9212 ◽  
Author(s):  
M. Khatun ◽  
R.M. Bruckmaier ◽  
P.C. Thomson ◽  
J. House ◽  
S.C. García
Keyword(s):  
Electrical Conductivity ◽  
Lactate Dehydrogenase ◽  
Somatic Cell ◽  
Cell Count ◽  
Dehydrogenase Activity ◽  
Somatic Cell Count ◽  
Milk Ejection ◽  
Lactate Dehydrogenase Activity

scholarly journals Changes in milk L-lactate, lactate dehydrogenase, serum albumin, and IgG during milk ejection and their association with somatic cell count

2014 ◽  
Vol 82 (2) ◽  
pp. 129-134 ◽  
Author(s):  
Mirjam Lehmann ◽  
Samantha K Wall ◽  
Olga Wellnitz ◽  
Rupert M Bruckmaier
Keyword(s):  
Lactate Dehydrogenase ◽  
Serum Albumin ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Cleaning Process ◽  
Milk Ejection ◽  
Milk Samples ◽  
Significant Difference ◽  
Automatic Milking Systems

In both conventional and automatic milking systems (AMS), sensitive and reliable mastitis detection is important for profitable milk production. Mastitis detection parameters must be able to detect mastitis when the somatic cell count (SCC) is only slightly elevated. Owing to the pre-milking teat cleaning process in AMS, sampling cannot take place before the occurrence of alveolar milk ejection and importantly, this can affect the ability of parameters to detect mastitis. The aim of the present study was to examine the effect of alveolar milk ejection on l-lactate, lactate dehydrogenase (LDH), serum albumin (SA) and immunoglobulin G (IgG) compared with SCC, a commonly used indicator of mastitis. In this experiment, milk samples were collected every 20 s from one quarter during a 120-s manual teat stimulation in ten cows. Samples were analysed for SCC, l-lactate, LDH, SA and IgG. Quarters were grouped by low (<5·0 log10 cells/ml), mid (5·0–5·7 log10 cells/ml), and high (>5·7 log10 cells/ml) SCC using the sample at t=0 s. Neither l-lactate nor LDH could statistically differentiate between low and mid-SCC quarters, but there were a significant difference in levels between the high-SCC quarters and low and mid-SCC quarters. SA could not differentiate between the low and mid-SCC quarters, but the SA levels for the high SCC quarters remained statistically different compared with low and mid-SCC quarters throughout the experiment. IgG could statistically differentiate between low and mid-SCC, although the high-SCC quarters were not statistically different from the mid-SCC quarters after 60 s. In the high-SCC quarters, a decrease was shown in all parameters during milk ejection, after t=60 s. In conclusion, alveolar milk ejection reduces the effectiveness of detection parameters when compared with SCC. With the exception of IgG, the ability of other tested parameters was not satisfactory to differentiate between quarters with low to mid-SCC levels

LEP and SCD polymorphisms are associated with milk somatic cell count, electrical conductivity and pH values in Holstein cows

2019 ◽  
Vol 31 (6) ◽  
pp. 498-503 ◽  
Author(s):  
Jale Metin Kiyici ◽  
Bilal Akyüz ◽  
Mahmut Kaliber ◽  
Korhan Arslan ◽  
Esma Gamze Aksel ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Holstein Cows ◽  
Ph Values

Interquarter comparison of markers of subclinical mastitis: somatic cell count, electrical conductivity, N-acetyl-β-glucosaminidase and antitrypsin

1991 ◽  
Vol 58 (4) ◽  
pp. 389-399 ◽  
Author(s):  
Niels Einar Jensen ◽  
Kim Knudsen
Keyword(s):  
Electrical Conductivity ◽  
Somatic Cell ◽  
Cell Count ◽  
Total Variation ◽  
Inflammatory Markers ◽  
Experimental Error ◽  
Somatic Cell Count ◽  
Health State ◽  
Milk Samples ◽  
The Individual

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.

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

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.

ZEBU COW’S MILK: ASSOCIATION OF PHYSICAL-CHEMICAL COMPOSITION WITH ELECTRICAL CONDUCTIVITY AND SOMATIC CELL COUNT

2021 ◽  
pp. 194-205
Author(s):  
Emmanuella de Oliveira Moura Araújo ◽  
José Geraldo Bezerra Galvão Júnior ◽  
Guilherme Ferreira da Costa Lima ◽  
Stela Antas Urbano ◽  
Adriano Henrique do Nascimento Rangel
Keyword(s):  
Electrical Conductivity ◽  
Chemical Composition ◽  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Cow’S Milk ◽  
Cow's Milk ◽  
Physical Chemical
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