Literature DB >> 32928552

Investigation of dairy cow performance in different udder health groups defined based on a combination of somatic cell count and differential somatic cell count.

Daniel Schwarz1, Sonja Kleinhans2, Gesine Reimann2, Peter Stückler3, Franz Reith3, Kaivo Ilves4, Kalle Pedastsaar4, Lei Yan5, Zhen Zhang5, Miguel Valdivieso6, Marisa Luisa Barreal6, Ramiro Fouz7.   

Abstract

Mastitis is still the costliest disease in milk production. In particular, its subclinical form, which may spread unnoticeably within a herd, is a major challenge. Somatic cell count (SCC) is broadly used as an indicator for mastitis and thus the basis for udder health management programmes, e.g. through dairy herd improvement (DHI) testing. Since recently, differential somatic cell count (DSCC, representing the combined proportion of polymorphonuclear neutrophils and lymphocytes as a percentage of total SCC) is available in addition. Our study was aimed to investigate dairy cow performance in four newly defined udder health groups (UHG) based on SCC and DSCC results from DHI testing. In total, 961,835 test-day results generated in Austria, China, Estonia, Germany, and Spain between January 2019 and March 2020 were available for data analyses. Cows were categorised into four UHG depending on test day SCC and DSCC results (UHG A: healthy/normal, ≤200,000 cells/mL and ≤65 %; B: suspicious, ≤200,000 cells/mL and >65 %; C: mastitis, >200,000 cells/mL and >65 %; D: chronic/persistent mastitis, >200,000 cells/mL and ≤65 %). Linear mixed effect models were used to compare the performance of cows between the UHG based on the parameters milk weight, energy-corrected milk, fat, protein, lactose, and estimated milk value. Highest performance was found for cows in UHG A and ranged between 21.4 (Austria) and 38.3 kg per cow and day (Spain). Interestingly, cows in group B were significantly less productive (0.9-2.4% less daily milk production) compared to those in group A. Cows in groups C (6.0-9.8% less daily production compared to group A) and D were, as expected, even less productive with a particularly significant drop for cows in group D (17.5-38.5% less daily production). These trends could be observed in all countries involved in this study. Proportions of cows in the four different UHG differed between countries, changed slightly within countries depending on season, differed depending on parity and days in milk, and were seen to vary hugely between herds. In conclusion, this study demonstrates changes in performance of dairy cows depending on their udder health status as defined based on the combination of SCC and DSCC. In particular cows in UHG B and D are of interest as they cannot be identified working with SCC only. Nevertheless, the actual udder health management measures that could be taken based on the new UHG still require further investigation.
Copyright © 2020 FOSS Analytical A/S. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dairy cow performance; Dairy herd improvement; Differential somatic cell count; Mastitis; Udder health

Mesh:

Year:  2020        PMID: 32928552     DOI: 10.1016/j.prevetmed.2020.105123

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  5 in total

1.  Using High-Resolution Differential Cell Counts (HRDCCs) in Bovine Milk and Blood to Monitor the Immune Status over the Entire Lactation Period.

Authors:  Sabine Farschtschi; Alex Hildebrandt; Martin Mattes; Benedikt Kirchner; Michael W Pfaffl
Journal:  Animals (Basel)       Date:  2022-05-24       Impact factor: 3.231

2.  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

3.  Peripartal Rumen-Protected L-Carnitine Manipulates the Productive and Blood Metabolic Responses in High-Producing Holstein Dairy Cows.

Authors:  Mohsen Danesh Mesgaran; Hassan Kargar; Sadjad Danesh Mesgaran; Ali Javadmanesh
Journal:  Front Vet Sci       Date:  2021-12-24

4.  Impact of udder infections on biochemical composition of milk in context of pesticides exposure.

Authors:  Hala R Ali; Samah F Ali; Rania H Abd-Algawad; Fayza A Sdeek; Mahmoud Arafa; Essam Kamel; Momtaz A Shahein
Journal:  Vet World       Date:  2022-03-31

5.  A machine learning approach using partitioning around medoids clustering and random forest classification to model groups of farms in regard to production parameters and bulk tank milk antibody status of two major internal parasites in dairy cows.

Authors:  Andreas W Oehm; Andrea Springer; Daniela Jordan; Christina Strube; Gabriela Knubben-Schweizer; Katharina Charlotte Jensen; Yury Zablotski
Journal:  PLoS One       Date:  2022-07-11       Impact factor: 3.752

  5 in total

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