Differential somatic cell count as an additional indicator for intramammary infections in dairy cows

Mastitis, often caused by intramammary infection (IMI), is a significant problem in dairy farming globally. Somatic cell count (SCC) is widely used as a parameter for screening IMI in cows that are then treated or culled. We investigated the potential of a new parameter, differential SCC (DSCC), to...

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Vydané v:Journal of dairy science Ročník 103; číslo 2; s. 1759
Hlavní autori: Kirkeby, C, Toft, N, Schwarz, D, Farre, M, Nielsen, S S, Zervens, L, Hechinger, S, Halasa, T
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 01.02.2020
Predmet:
Animals
Cattle
Cell Count - veterinary
Female
Mastitis, Bovine - diagnosis
Mastitis, Bovine - microbiology
Mastitis, Bovine - pathology
Milk - cytology
Milk - microbiology
Parity
Pregnancy
mastitis
dairy cow
differential somatic cell count
ISSN:1525-3198, 1525-3198
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Shrnutí:Mastitis, often caused by intramammary infection (IMI), is a significant problem in dairy farming globally. Somatic cell count (SCC) is widely used as a parameter for screening IMI in cows that are then treated or culled. We investigated the potential of a new parameter, differential SCC (DSCC), to detect IMI at cow level when SCC is already known. We achieved this using bacterial culture (BC) and PCR to detect 4 categories of pathogens (major, minor, other, and any) in 2 Danish dairy herds. Quarter milk samples were collected from monthly dairy herd improvement samplings over 1 yr and analyzed with BC, whereas cow-level dairy herd improvement samples were analyzed using PCR. Days in milk, parity, and IMI status had a significant effect on DSCC. Using DSCC in addition to SCC significantly improved the indication of IMI compared with using only SCC in the any pathogen category in both herds as well as the minor pathogens category in herd 2 when BC was used for detection. When PCR was used to detect IMI, the use of DSCC in addition to SCC was significant for the other pathogens category in herd 1 and the minor pathogens category in herd 2. Thus, our data revealed that DSCC can add significant information describing IMI status even when SCC is already known; however, this depends on the causative pathogen. Future studies may address how to use DSCC in practice as well as consider the availability of temporal data to potentially gain insight into the course of infection.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1525-3198
1525-3198
DOI:10.3168/jds.2019-16523