Sensitivity of various methods (CMT, CE and Indicator Paper) of subclinical cattle’s mastitis diagnostic in some dairy cows breeding in east of Algeria
Journal Title: International Journal of Advances in Scientific Research - Year 2018, Vol 4, Issue 2
Abstract
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
Authors and Affiliations
Brahim Bouchoucha, Omar Bouaziz, Nourreddine Zeghilet, Rachida Aimer, Sana Hireche, Sabrina Boussenna
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