Description: The use of veterinary drugs is of similar importance to that of human drugs in addressing health challenges. In this context, pharmaceuticals and their metabolites inevitably enter soil and water in unknown quantities. Therefore, this study collects and analyzes drug data from 2020 for 50 dairy farms located in Germany. The most frequently used substance group is antibiotics (40.13%), followed by antiphlogistics (18.86%), antiparasitics (13.09%) and hormones (9.29%). Treatment frequencies record the number of days per year on which an average animal on a farm was treated with a substance. The calculated values range from 0.94 to 21.69 d per year and are distributed heterogeneously across farms. In this study, on average, a cow was treated on 6 d in 2020: 2.34 d with antibiotics, 1.07 d with antiphlogistics, 0.76 d with antiparasitics, and 0.41 d with hormones. In addition to individual farm management, other factors are related to treatment frequency. Farms with a veterinary care contract used more hormonal substances than farms without a care contract. In addition, higher milk yield coincides with more frequent treatments with antiphlogistic or hormonal substances. Other related factors include grazing, longevity, farm size, and use of a claw bath. Our study represents an important first step in describing the amount and determinants of veterinary drugs used in livestock farming. Such insights on magnitudes and farm parameters are essential to estimate potential environmental impacts and to derive strategies to reduce veterinary drug use. © TBC, The Authors
Global identifier:
Doi( "10.60810/openumwelt-1039", )
Types:
Origin: /Bund/UBA/openUMWELT
Tags: Antibiotikum ? Tierarzneimittel ? Milchviehhaltung ? Antiparasitikum ? Arzneimittel ? Rind ? Umweltauswirkung ? Vieh ? Contracting ? Bodenwasser ? Landwirtschaftlicher Betrieb ? Stoffwechselprodukt ? Beweidung ? Daten ? Hormon ? Studie ? Vertrag ? Viehwirtschaft ? Stoff ?
License: unbekannt
Language: Englisch/English
Issued: 2023-01-01
Time ranges: 2023-01-01 - 2023-01-01
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