Decision making on dry cow therapy: Economic evaluation using field data under Argentinian production conditions

Abstract

The cow somatic cell count (CSCC) is an indicator of intramammary infection (IMI), and it has been used to make decisions at dry-off about selective dry cow therapy (SDCT). This study assessed ex-ante the economic impact of implementing SDCT under milk production conditions in Argentina, using CSCC to identify cows with IMI at dry-off. Eighty six cows were sampled at dry-off and considered being infected if at least one quarter was infected with major mastitis pathogens. The CSCC sensitivity and specificity were estimated using the CSCC recorded from the test-day prior to dry-off. A simulation model was then developed to look into the economic benefits of applying SDCT under two herd level IMI prevalence (low: 5-15%, and high: 16-25%) at dry-off. The input variables were obtained from the field study, scientific literature, and real-world prices. The output was the net economic difference (NED) between SDCT and blanket dry cow therapy at the herd level. The sensitivity and specificity estimated for identifying cows infected with major pathogens for a CSCC threshold of 200,000 cells/mL were 31.4 (95% CI, 14.6-48.2) and 64.7 (95% CI, 50.6-78.8), respectively; the value for NED was maximized to -634 US$ and -455 US$ in the low and high IMI prevalence, respectively. In general, CSCC specificity was the variable with the most impact on NED and, in high IMI prevalence, milk price had a similar relevance. Thus, SDCT based on CSCC is a cost-effective option, under the milk production conditions in Argentina.