A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds

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A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds. / Gussmann, Maya; Kirkeby, Carsten; Schwarz, Daniel; Farre, Michael; Halasa, Tariq.

I: Preventive Veterinary Medicine, Bind 182, 105090, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Gussmann, M, Kirkeby, C, Schwarz, D, Farre, M & Halasa, T 2020, 'A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds', Preventive Veterinary Medicine, bind 182, 105090. https://doi.org/10.1016/j.prevetmed.2020.105090

APA

Gussmann, M., Kirkeby, C., Schwarz, D., Farre, M., & Halasa, T. (2020). A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds. Preventive Veterinary Medicine, 182, [105090]. https://doi.org/10.1016/j.prevetmed.2020.105090

Vancouver

Gussmann M, Kirkeby C, Schwarz D, Farre M, Halasa T. A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds. Preventive Veterinary Medicine. 2020;182. 105090. https://doi.org/10.1016/j.prevetmed.2020.105090

Author

Gussmann, Maya ; Kirkeby, Carsten ; Schwarz, Daniel ; Farre, Michael ; Halasa, Tariq. / A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds. I: Preventive Veterinary Medicine. 2020 ; Bind 182.

Bibtex

@article{12c75fbefdb34e20bdd011e58da7152d,
title = "A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds",
abstract = "Mastitis is one of the most costly diseases in dairy herds worldwide. Somatic cell count (SCC) is widely used as an indicator for subclinical intramammary infections (IMI) that may eventually cause mastitis in dairy herds. Differential somatic cell count (DSCC) has recently been introduced as an additional indicator for IMI. The objective of this study was to investigate the value of using DSCC as an additional indicator to select cows for testing and subsequent intervention for subclinical mastitis during the lactation. We parameterized an existing bio-economic simulation model for dairy herds to include DSCC. Then, we simulated three Danish dairy cattle herd situations with different pathogen distributions where the main pathogens were 1) Staphylococcus aureus, 2) Streptococcus agalactiae, and 3) Streptococcus uberis. In these herds, we simulated two different selection strategies for testing (bacterial culture) for subclinical IMI and various intervention strategies for test positive cases. The first selection strategy considered only SCC; cows were selected for testing if they had a low SCC measurement followed by two high SCC measurements. In the second selection strategy, cows additionally had to have a high DSCC measurement. Results showed that both selection strategies led to a similar net income and to a similar number of clinical and subclinical cases for all investigated intervention strategies. However, when using DSCC in the selection of animals, the number of treatment days and the number of cows culled in relation to IMI was reduced: The median annual number of treatment days was reduced by 25–38 days in herd 1, by 25–42 days in herd 2, and by 30–48 days in herd 3, depending on the intervention strategy. The median annual number of cows culled in relation to IMI was reduced by up to 8 cows (10 cows in herd 3) for one of the intervention strategies. Subject to limitations associated with model assumptions, these results suggest that considering DSCC when selecting cows for testing can reduce IMI related culling and the use of antibiotics without changing in-herd prevalence nor resulting in economic loss.",
keywords = "Dairy cattle, Intervention, Intramammary infection, Mastitis, Simulation model",
author = "Maya Gussmann and Carsten Kirkeby and Daniel Schwarz and Michael Farre and Tariq Halasa",
year = "2020",
doi = "10.1016/j.prevetmed.2020.105090",
language = "English",
volume = "182",
journal = "Preventive Veterinary Medicine",
issn = "0167-5877",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A simulation study to investigate the added value in using differential somatic cell count as an additional indicator for udder health management in dairy herds

AU - Gussmann, Maya

AU - Kirkeby, Carsten

AU - Schwarz, Daniel

AU - Farre, Michael

AU - Halasa, Tariq

PY - 2020

Y1 - 2020

N2 - Mastitis is one of the most costly diseases in dairy herds worldwide. Somatic cell count (SCC) is widely used as an indicator for subclinical intramammary infections (IMI) that may eventually cause mastitis in dairy herds. Differential somatic cell count (DSCC) has recently been introduced as an additional indicator for IMI. The objective of this study was to investigate the value of using DSCC as an additional indicator to select cows for testing and subsequent intervention for subclinical mastitis during the lactation. We parameterized an existing bio-economic simulation model for dairy herds to include DSCC. Then, we simulated three Danish dairy cattle herd situations with different pathogen distributions where the main pathogens were 1) Staphylococcus aureus, 2) Streptococcus agalactiae, and 3) Streptococcus uberis. In these herds, we simulated two different selection strategies for testing (bacterial culture) for subclinical IMI and various intervention strategies for test positive cases. The first selection strategy considered only SCC; cows were selected for testing if they had a low SCC measurement followed by two high SCC measurements. In the second selection strategy, cows additionally had to have a high DSCC measurement. Results showed that both selection strategies led to a similar net income and to a similar number of clinical and subclinical cases for all investigated intervention strategies. However, when using DSCC in the selection of animals, the number of treatment days and the number of cows culled in relation to IMI was reduced: The median annual number of treatment days was reduced by 25–38 days in herd 1, by 25–42 days in herd 2, and by 30–48 days in herd 3, depending on the intervention strategy. The median annual number of cows culled in relation to IMI was reduced by up to 8 cows (10 cows in herd 3) for one of the intervention strategies. Subject to limitations associated with model assumptions, these results suggest that considering DSCC when selecting cows for testing can reduce IMI related culling and the use of antibiotics without changing in-herd prevalence nor resulting in economic loss.

AB - Mastitis is one of the most costly diseases in dairy herds worldwide. Somatic cell count (SCC) is widely used as an indicator for subclinical intramammary infections (IMI) that may eventually cause mastitis in dairy herds. Differential somatic cell count (DSCC) has recently been introduced as an additional indicator for IMI. The objective of this study was to investigate the value of using DSCC as an additional indicator to select cows for testing and subsequent intervention for subclinical mastitis during the lactation. We parameterized an existing bio-economic simulation model for dairy herds to include DSCC. Then, we simulated three Danish dairy cattle herd situations with different pathogen distributions where the main pathogens were 1) Staphylococcus aureus, 2) Streptococcus agalactiae, and 3) Streptococcus uberis. In these herds, we simulated two different selection strategies for testing (bacterial culture) for subclinical IMI and various intervention strategies for test positive cases. The first selection strategy considered only SCC; cows were selected for testing if they had a low SCC measurement followed by two high SCC measurements. In the second selection strategy, cows additionally had to have a high DSCC measurement. Results showed that both selection strategies led to a similar net income and to a similar number of clinical and subclinical cases for all investigated intervention strategies. However, when using DSCC in the selection of animals, the number of treatment days and the number of cows culled in relation to IMI was reduced: The median annual number of treatment days was reduced by 25–38 days in herd 1, by 25–42 days in herd 2, and by 30–48 days in herd 3, depending on the intervention strategy. The median annual number of cows culled in relation to IMI was reduced by up to 8 cows (10 cows in herd 3) for one of the intervention strategies. Subject to limitations associated with model assumptions, these results suggest that considering DSCC when selecting cows for testing can reduce IMI related culling and the use of antibiotics without changing in-herd prevalence nor resulting in economic loss.

KW - Dairy cattle

KW - Intervention

KW - Intramammary infection

KW - Mastitis

KW - Simulation model

U2 - 10.1016/j.prevetmed.2020.105090

DO - 10.1016/j.prevetmed.2020.105090

M3 - Journal article

C2 - 32717473

AN - SCOPUS:85088388098

VL - 182

JO - Preventive Veterinary Medicine

JF - Preventive Veterinary Medicine

SN - 0167-5877

M1 - 105090

ER -

ID: 247496266