The relationship between somatic cell count, milk constituents and pathogenic bacteria isolated from subclinical mastitis in dairy cows. The relationship between somatic cell count, milk constituents and pathogenic bacteria isolated from subclinical mastitis in dairy cows. The relationship between somatic cell count, milk constituents and pathogenic bacteria isolated from subclinical mastitis in dairy cows. The relationship between somatic cell count, milk constituents and pathogenic bacteria isolated from subclinical mastitis in dairy cows.

Abstract: Bovine subclinical mastitis can be diagnosed by abnormalities in milk components and somatic cell count (SCC.).We examined subclinical mastitic cow,s milk in Egypt by using California Mastitis Test (CMT) and analyzing SCC, milk urea nitrogen (MUN), and the percentages of other milk components (milk fat, protein, lactose and total solids). The associations between SCC and other milk constituents were investigated, as well as the relationships between the bacterial species isolated from milk. Somatic cell counts, MUN, and the percentages of milk fat, protein, and lactose were analyzed in 289 quarter milk samples (272 quarter milk samples (QMS) with subclinical mastitis as well as from healthy control cows; 17 QMS). In particular, staphylococci specially S. aureus is the highest isolated bacteria from different scores of SCC either single (17%) or mixed with other bacteria (with E. coli; 37.4%, with S. agalactiae; 5.5% and with both of them; 1.4%). Also CNS was isolated in different percentages either single or mixed with other bacteria as (21.4% single and mixed with E.coli) and E.coli isolate single or mixed with other bacteria. The SCC values were significantly affected by bacterial species and milk samples infected with coagulase-negative staphylococci (CNS) had the highest SCC compared with milk containing other mastitis-causing bacteria. The correlation coefficients of SCC on milk fat (−0.302), lactose (−0.525), and MUN (−0.079), total solids (−0.338) and solid not fat (−0.402) were negative, whereas the correlation coefficient of SCC on protein was positive (0.150). When the data were categorized by the presence or absence of bacterial infection in the examined milk samples, all milk parameters were affected by the presence of pathogenic bacteria. These results show that high SCC negatively affect milk components and that a statistical approach associating SCC and milk components by bacterial infection can explain the patterns among them. Bacterial species present in milk are an important influence on SCC in Egypt.
Publication year 2010
Pages ص569-590
Organization Name
Country Egypt
serial title مجلة الجمعيه المصريه الطبيه البيطريه
Volume 70 . 4
Author(s) from ARC
Publication Type Journal
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