scholarly journals Sensitivity of various methods (CMT, CE and Indicator Paper) of subclinical cattle’s mastitis diagnostic in some dairy cows breeding in east of Algeria

2018 ◽  
Vol 4 (2) ◽  
pp. 06
Author(s):  
Brahim Bouchoucha ◽  
Omar Bouaziz ◽  
Nourreddine Zeghilet ◽  
Rachida Aimer ◽  
Sana Hireche ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Dairy Cows ◽  
Sensitivity And Specificity ◽  
Infection Rate ◽  
Subclinical Mastitis ◽  
Bacteriological Examination ◽  
Ph Indicator ◽  
Specific Test ◽  
Specificity And Sensitivity ◽  
The One

The aim of present work is to look for the prevalence of subclinical mastitis in dairy  cows of different regions in eastern Algerian ; the prevalence of subclinical mastitis has called for three non-specific methods and by  bacteriological analysis. On all teats are 416 ; the first non-specific test is Californiamastitis test (CMT) indicating polymorphonuclear witness infection of the udder. The second test indicates presence of ions (Na Cl) in  milk and carries the appellation of the electrical conductivity of milk (EC) and the last test is the one that revealed the pH of milk while using papier pH containing pH indicator and changes color to green or blue if the udder is infected. It is the first component of the study; the second component is to get the bacteriological status of each udder  and passing to the study of the sensitivity and specificity of non specifics tests . the present  study  gave values of mastitis prevalence  between 6.7 to 64.7% of cows and 10 to 20% of udders  tested by (CMT, pH papers and EC), with an infection rate of 9% of districts and 17% of cows. Bacteriological examination of positive areas showed the prevalence of the following pathogens : 6 species  of  Staph –  Saprophyticus= 15%, 6 species  staph – epidermidis=15%, 4 species staph – cohnii=10%, 9 Staph +=22.5%, 2 Micrococcus. Spp=5%, 4 E.Coli=10%, 2 speciesof  klebsielle =5%,2Proteus vulgaris=5%, 2Citrobacter freundeii=5%, 1 Streptococcus spp=2.5%, 1Streptococcus uberis=2.5%. et 5% others specie of bacterias. for specificity and  sensitivity we have these values r : CMT = 71% and 77%;. For pH paper had values of 15% and 60% .in latter puts the EC with values of 13% and 67% respectively. So the CMT remains the most accessible and reliable tset

scholarly journals Sensitivity and specificity of infrared thermography in detection of subclinical mastitis in dairy cows

2010 ◽  
Vol 93 (8) ◽  
pp. 3525-3532 ◽  
Author(s):  
B. Polat ◽  
A. Colak ◽  
M. Cengiz ◽  
L.E. Yanmaz ◽  
H. Oral ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Infrared Thermography ◽  
Sensitivity And Specificity ◽  
Subclinical Mastitis

scholarly journals Comparison of cow-side diagnostic tests for subclinical mastitis of dairy cows in Musanze district, Rwanda

2017 ◽  
Vol 88 ◽  
Author(s):  
Blaise Iraguha ◽  
Humphrey Hamudikuwanda ◽  
Borden Mushonga ◽  
Erick Kandiwa ◽  
Jean P. Mpatswenumugabo
Keyword(s):  
Dairy Cows ◽  
Sensitivity And Specificity ◽  
Diagnostic Tests ◽  
Subclinical Mastitis ◽  
Kappa Statistics ◽  
Test Results ◽  
Substantial Agreement ◽  
Likelihood Ratios ◽  
California Mastitis Test ◽  
Strength Of Association

Four subclinical mastitis diagnostic tests (the UdderCheck® test [a lactate dehydrogenasebased test], the California Mastitis Test [CMT], the Draminski® test [a conductivity-based test] and the PortaSCC® test [a portable somatic cell count-based test]) were compared in a study comprising crossbreed dairy cows (n = 30) during September and October 2015. Sensitivity and specificity of the CMT, Draminski® and UdderCheck® tests were compared with the PortaSCC® as reference. The CMT, Draminski® and UdderCheck® test results were compared with the results of the PortaSCC® test using kappa statistics. Duplicate quarter milk samples (n = 120) were concurrently subjected to the four tests. Sensitivity and specificity were 88.46% and 86.17% (CMT), 78.5% and 81.4% (Draminski®) and 64.00% and 78.95% (UdderCheck®). The CMT showed substantial agreement (k = 0.66), the Draminski® test showed moderate agreement (k = 0.48) and the UdderCheck® test showed fair agreement (k = 0.37) with the PortaSCC® test and positive likelihood ratios were 6.40, 4.15 and 3.04, respectively. The cow-level subclinical mastitis prevalence was 70%, 60%, 60% and 56.7% for PortaSCC®, CMT, Draminski® and UdderCheck® tests, respectively. At udder quarter level, subclinical mastitis prevalence was 20%, 21.67% and 20.83% for PortaSCC®, CMT and UdderCheck®, respectively. A correlation (P < 0.05) and moderate strength of association were found between the four tests used. The study showed that compared to the PortaSCC® test, the CMT was the most preferable option, followed by the Draminski® test, while the UdderCheck® test was the least preferable option for subclinical mastitis screening.

Electrical conductivity of foremilk for detecting subclinical mastitis in cows

1974 ◽  
Vol 83 (2) ◽  
pp. 309-325 ◽  
Author(s):  
J. L. Linzell ◽  
M. Peaker ◽  
J. G. Rowell
Keyword(s):  
Electrical Conductivity ◽  
Subclinical Mastitis ◽  
False Positives ◽  
Mean Square ◽  
Bacteriological Examination ◽  
Differential Conductivity ◽  
Conductivity Data ◽  
Mixed Conductivity ◽  
Potential Value ◽  
Cell Counts

SUMMARYIn order to assess the potential value of milk conductivity sensors for the detection of subclinical mastitis, measurements have been made manually on quarter foremilk samples for 10–74 days from 44 cows in two herds. Some measurements were also made of quarter cell counts and yields but the true status of the cows was established by bacteriological examination near the end of each run.For uninfected cows, conductivities of the four quarters tended to move in parallel from day to day whereas for infected cows there were usually substantial departures from parallelism. A statistic which is a measure of departure from parallelism is the quarter × day interaction mean square (I.M.S.), the magnitude of which was used to discriminate between infected and uninfected cows. Using conductivity data obtained at the time of the bacteriological examination, I.M.S. correctly identified all 19 un-infected cows and 24 out of 25 infected cows, the single misclassified cow being only mildly infected. The procedure was further tested on data obtained from one of the herds a year later. In this case, using the I.M.S. limits established the year before, 14 out of 18 infected cows were correctly identified, the four failures being only mildly infected. With nine uninfected cows, there were three false positives but these cows were all pregnant and had been lactating for 44 weeks. Although special limits may have to be set for cows in late lactation, two of these animals had been infected during the lactation, so that conductivity changes may reflect past damage to the udder.The same data used to set I.M.S. limits were also examined in simpler ways that required little or no calculation. These were ‘differential conductivity’ (the quarter with the highest conductivity divided by the value for the lowest), ‘absolute conductivity’, ‘mixed conductivity’ (mixed foremilk from all four glands) and ‘out-of-balance conductivity’ (the product of the conductivities of the fore quarters divided by the product of the hind quarters or vice versa). These methods of analysis were all less sensitive than the I.M.S. test for parallelism. Differential conductivity, absolute conductivity and mixed conductivity all detected severe cases but missed more mild cases. Out-of-balance conductivity was much less satisfactory because it missed some severe cases.

scholarly journals The electrical conductivity of sheep's milk and the possibility of mastitis detection

10.5219/1074 ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 562-565
Author(s):  
Michal Uhrinčať ◽  
Vladimír Tančin ◽  
Kristína Tvarožková ◽  
Lucia Mačuhová ◽  
Martina Vršková ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Protein Content ◽  
Detection Method ◽  
Low Cost ◽  
Subclinical Mastitis ◽  
Bacteriological Examination ◽  
Sheep Milk ◽  
Robotic Milking ◽  
The Relationship ◽  
Major Pathogens

Measurement of electrical conductivity (EC) is a method frequently used in dairy cows during milking in milking parlours, but especially in robotic milking as a low-cost mastitis detection method. The aim of this study was to evaluate the relationship between somatic cell count (SCC) and EC of milk in sheep reared in Slovakia as factors for monitoring subclinical mastitis on the basis of a bacteriological examination of udder health. Samples were collected individually from both halves of the udder from 295 sheep of different breeds from eight farms during evening milking. Based on SCC, the samples (590) were divided into classes (SCC < 2 × 105, 2 × 105 ≤ SCC < 4 × 105, 4 × 105 ≤ SCC < 6 × 105, and SCC ≥ 6 × 105 cells.mL-1), (SCC < 7 × 105 and SCC ≥ 7 × 105 cells.mL-1) and (SCC < 1 × 105 and SCC ≥ 1 × 105 cells.mL-1) respectively. Based on the presence of pathogens in the udder halve, they were classified as “major pathogens” (14), “minor pathogens” (161) and “without pathogens” (415). The presence of a pathogen had a significant effect on the increase in EC, SCC and protein content and decrease in content of lactose. We found a significant correlation between EV and SCC at first classification only in cases where all data was analysed jointly (r = 0.531), SCC ≥ 6 × 105 (r = 0.403) and SCC < 2 × 105 (r = 0.214). In the second and third classification, we found significant correlations in both cases, the SCC < 7 × 105 (r = 0.270) and the SCC ≥ 7 × 105 (r = 0.382) and SCC < 1 × 105 (r = 0.136) and the SCC ≥ 1 × 105 (r = 0.557). The electrical conductivity showed a stronger correlation with the lactose and protein content than LogSCC. We can argue that measuring the electrical conductivity of sheep milk may be a possible alternative for mastitis detection in sheep. EC can be useful in detecting animals with level of SSC greater than 6 × 105 cells.mL-1.

Evaluation of the on-line electrical conductivity of milk in mastitic dairy cows

2012 ◽  
Vol 60 (1) ◽  
pp. 145-155 ◽  
Author(s):  
András Gáspárdy ◽  
Gil Ismach ◽  
Árpád Bajcsy ◽  
Gyula Veress ◽  
Szilárd Márkus ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Dairy Cows ◽  
Normal Level ◽  
Inflammatory Reaction ◽  
Somatic Cell Count ◽  
Large Scale ◽  
Dairy Farm ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
On Line

Mastitis is a persistent, inflammatory reaction of the udder tissue, which entails a decline in potassium, and is also responsible for a higher somatic cell count (SCC) and electrical conductivity (EC) of milk. The measurement of EC is an indirect, rapid method to detect subclinical mastitis from milk. The aim of this study was to analyse the EC of milk throughout the lactation, around the day of mastitis detection, and also to estimate its heritability based on data from a large-scale dairy farm. Shortly after calving the EC value generally decreases; however, it was discovered that from the thirteenth week onwards, substantial differences arise between the mastitic and healthy groups of cows. The authors observed a significant (P < 0.001) increase in EC before the detection of clinical mastitis. This higher value (around 11 mS) persisted for 4 days, then it gradually returned to the normal level. The EC of milk from daughters sired by different bulls responded differently in case of mastitis. The heritability of EC seems to be high (h2 = 0.56). Therefore, the EC trait can be a beneficial indicator in detecting mastitis and should be considered in sire selection.

Preparation of Electron Transparent Metal-Matrix Composites

1968 ◽  
Vol 26 ◽  
pp. 334-335 ◽  
Author(s):  
M. R. Pinnel ◽  
A. Lawley
Keyword(s):  
Stainless Steel ◽  
Load Transfer ◽  
Volume Fraction ◽  
Steel Wire ◽  
Initial Step ◽  
Interfacial Region ◽  
Matrix Composites ◽  
Specific Test ◽  
The Matrix ◽  
The One

Numerous phenomenological descriptions of the mechanical behavior of composite materials have been developed. There is now an urgent need to study and interpret deformation behavior, load transfer, and strain distribution, in terms of micromechanisms at the atomic level. One approach is to characterize dislocation substructure resulting from specific test conditions by the various techniques of transmission electron microscopy. The present paper describes a technique for the preparation of electron transparent composites of aluminum-stainless steel, such that examination of the matrix-fiber (wire), or interfacial region is possible. Dislocation substructures are currently under examination following tensile, compressive, and creep loading. The technique complements and extends the one other study in this area by Hancock.The composite examined was hot-pressed (argon atmosphere) 99.99% aluminum reinforced with 15% volume fraction stainless steel wire (0.006″ dia.).Foils were prepared so that the stainless steel wires run longitudinally in the plane of the specimen i.e. the electron beam is perpendicular to the axes of the wires. The initial step involves cutting slices ∼0.040″ in thickness on a diamond slitting wheel.

Performance Characteristics of Methods for the Bacteriological Examination of Water

1993 ◽  
Vol 27 (3-4) ◽  
pp. 1-13 ◽  
Author(s):  
Arie H. Havelaar ◽  
Siem H. Heisterkamp ◽  
Janneke A. Hoekstra ◽  
Kirsten A. Mooijman
Keyword(s):  
Sensitivity And Specificity ◽  
Measurement Errors ◽  
Systematic Errors ◽  
General Concept ◽  
Growth Characteristics ◽  
Performance Characteristics ◽  
Logarithmic Scale ◽  
Bacteriological Examination ◽  
Membrane Filters

The general concept of measurement errors is applied to quantitative bacteriological counts on membrane filters or agar plates. The systematic errors of these methods are related to the growth characteristics of the medium (recovery of target organisms and inhibition of non-target organisms) and to its differential characteristics (sensitivity and specificity). Factors that influence the precision of microbiological counts are the variation between replicates, within samples, between operators and between laboratories. It is also affected by the linearity of the method, the verification rate and, where applicable, the number of colonies subcultured for verification. Repeatability (r) and reproducibility (R) values can be calculated on the logarithmic scale.

Mass-spec-based urinary metabotyping around parturition identifies screening biomarkers for subclinical mastitis in dairy cows

2020 ◽  
Vol 129 ◽  
pp. 39-52
Author(s):  
Grzegorz Zwierzchowski ◽  
Guanshi Zhang ◽  
Rupasri Mandal ◽  
David S. Wishart ◽  
Burim N. Ametaj
Keyword(s):  
Dairy Cows ◽  
Subclinical Mastitis ◽  
Mass Spec

scholarly journals Comparison of Four Commercially Available Point-of-Care Tests to Detect Antibodies against Canine Parvovirus in Dogs

Viruses ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 18
Author(s):  
Michèle Bergmann ◽  
Mike Holzheu ◽  
Yury Zablotski ◽  
Stephanie Speck ◽  
Uwe Truyen ◽  
...  
Keyword(s):  
Test Performance ◽  
Point Of Care ◽  
Reference Method ◽  
Canine Parvovirus ◽  
P Value ◽  
Important Indicator ◽  
Specificity And Sensitivity ◽  
Specific Pathogen ◽  
The One ◽  
Point Of Care Tests

Measuring antibodies to evaluate dogs´ immunity against canine parvovirus (CPV) is useful to avoid unnecessary re-vaccinations. The study aimed to evaluate the quality and practicability of four point-of-care (POC) tests for detection of anti-CPV antibodies. The sera of 198 client-owned and 43 specific pathogen-free (SPF) dogs were included; virus neutralization was the reference method. Specificity, sensitivity, positive and negative predictive value (PPV and NPV), and overall accuracy (OA) were calculated. Specificity was considered to be the most important indicator for POC test performance. Differences between specificity and sensitivity of POC tests in the sera of all dogs were determined by McNemar, agreement by Cohen´s kappa. Prevalence of anti-CPV antibodies in all dogs was 80% (192/241); in the subgroup of client-owned dogs, it was 97% (192/198); and in the subgroup of SPF dogs, it was 0% (0/43). FASTest® and CanTiCheck® were easiest to perform. Specificity was highest in the CanTiCheck® (overall dogs, 98%; client-owned dogs, 83%; SPF dogs, 100%) and the TiterCHEK® (overall dogs, 96%; client-owned dogs, 67%; SPF dogs, 100%); no significant differences in specificity were observed between the ImmunoComb®, the TiterCHEK®, and the CanTiCheck®. Sensitivity was highest in the FASTest® (overall dogs, 95%; client-owned dogs, 95%) and the CanTiCheck® (overall dogs, 80%; client-owned dogs, 80%); sensitivity of the FASTest® was significantly higher compared to the one of the other three tests (McNemars p-value in each comparison: <0.001). CanTiCheck® would be the POC test of choice when considering specificity and practicability. However, differences in the number of false positive results between CanTiCheck®, TiterCHEK®, and ImmunoComb® were minimal.

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