Literature DB >> 31759594

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

C Kirkeby1, N Toft2, D Schwarz3, M Farre4, S S Nielsen5, L Zervens2, S Hechinger6, T Halasa7.   

Abstract

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. The Authors. Published by FASS Inc. and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Entities:  

Keywords:  dairy cow; differential somatic cell count; mastitis

Mesh:

Year:  2019        PMID: 31759594     DOI: 10.3168/jds.2019-16523

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  6 in total

1.  Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights.

Authors:  Ryan S Pralle; Joel D Amdall; Robert H Fourdraine; Garrett R Oetzel; Heather M White
Journal:  Animals (Basel)       Date:  2021-04-30       Impact factor: 2.752

2.  Development of an advanced flow cytometry based high-resolution immunophenotyping method to benchmark early immune response in dairy cows.

Authors:  Sabine Farschtschi; Martin Mattes; Alex Hildebrandt; Dapi Chiang; Benedikt Kirchner; Heike Kliem; Michael W Pfaffl
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Review 3.  Advantages and Challenges of Differential Immune Cell Count Determination in Blood and Milk for Monitoring the Health and Well-Being of Dairy Cows.

Authors:  Sabine Farschtschi; Martin Mattes; Michael W Pfaffl
Journal:  Vet Sci       Date:  2022-05-27

4.  Relationship between total and differential quarter somatic cell counts at dry-off and early lactation.

Authors:  Aldo Dal Prà; Filippo Biscarini; Gian Luca Cavani; Saverio Bacchelli; Alcide Iotti; Sara Borghi; Marco Nocetti; Paolo Moroni
Journal:  PLoS One       Date:  2022-10-17       Impact factor: 3.752

5.  Total and Differential Cell Counts as a Tool to Identify Intramammary Infections in Cows after Calving.

Authors:  Alfonso Zecconi; Gabriele Meroni; Valerio Sora; Roberto Mattina; Micaela Cipolla; Lucio Zanini
Journal:  Animals (Basel)       Date:  2021-03-07       Impact factor: 2.752

6.  Milk Somatic Cell Count and Polymorphonuclear Cells in Healthy Quarters of Cows That Underwent Blanket and Selective Dry Therapy: An Italian Case Study.

Authors:  Angela Costa; Massimo De Marchi; Daniele Sagrafoli; Hillary Lanzi; Simonetta Amatiste; Carlo Boselli; Giuseppina Giacinti
Journal:  Vet Sci       Date:  2021-11-29
  6 in total

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