dc.contributor.author
Dachrodt, Linda
dc.contributor.author
Bartel, Alexander
dc.contributor.author
Arndt, Heidi
dc.contributor.author
Kellermann, Laura Maria
dc.contributor.author
Stock, Annegret
dc.contributor.author
Volkmann, Maria
dc.contributor.author
Boeker, Andreas Robert
dc.contributor.author
Birnstiel, Katrin
dc.contributor.author
Klawitter, Marcus
dc.contributor.author
Müller, Kerstin Elisabeth
dc.date.accessioned
2023-01-16T12:53:07Z
dc.date.available
2023-01-16T12:53:07Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/37618
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-37333
dc.description.abstract
Good calf health is crucial for a successfully operating farm business and animal welfare on dairy farms. To evaluate calf health on farms and to identify potential problem areas, benchmarking tools can be used by farmers, herd managers, veterinarians, and other advisory persons in the field. However, for calves, benchmarking tools are not yet widely established in practice. This study provides hands-on application for on-farm benchmarking of calf health. Reference values were generated from a large dataset of the “PraeRi” study, including 730 dairy farms with a total of 13,658 examined preweaned dairy calves. At herd level, omphalitis (O, median 15.9%) was the most common disorder, followed by diarrhea (D, 15.4%) and respiratory disease (RD, 2.9%). Abnormal weight bearing (AWB) was rarely detected (median, 0.0%). Calves with symptoms of more than one disorder at the same time (multimorbidity, M) were observed with a prevalence of 2.3%. The enrolled farms varied in herd size, farm operating systems, and management practices and thus represented a wide diversity in dairy farming, enabling a comparison with similar managed farms in Germany and beyond. To ensure comparability of the data in practice, the reference values were calculated for the whole data set, clustered according to farm size (1–40 dairy cows (n = 130), 41–60 dairy cows (n = 99), 61–120 dairy cows (n = 180), 121–240 dairy cows (n = 119) and farms with more than 240 dairy cows (n = 138), farm operating systems (conventional (n = 666), organic (n = 64)) and month of the year of the farm visit. There was a slight tendency for smaller farms to have a lower prevalence of disorders. A statistically significant herd-size effect was detected for RD (p = 0.008) and D (p < 0.001). For practical application of these reference values, tables, diagrams, and an Excel® (Microsoft®) based calf health calculator were developed as tools for on-farm benchmarking (https://doi.org/10.6084/m9.figshare.c.6172753). In addition, this study provides a detailed description of the colostrum, feeding and housing management of preweaned calves in German dairy farms of different herd sizes and farm type (e.g., conventional and organic).
en
dc.format.extent
18 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
bovine respiratory disease
en
dc.subject
organic farming
en
dc.subject
benchmarking tool
en
dc.subject
animal wellbeing and welfare
en
dc.subject
calf disease
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::630 Landwirtschaft::630 Landwirtschaft und verwandte Bereiche
dc.title
Benchmarking calf health: Assessment tools for dairy herd health consultancy based on reference values from 730 German dairies with respect to seasonal, farm type, and herd size effects
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
990798
dcterms.bibliographicCitation.doi
10.3389/fvets.2022.990798
dcterms.bibliographicCitation.journaltitle
Frontiers in Veterinary Science
dcterms.bibliographicCitation.volume
9
dcterms.bibliographicCitation.url
https://doi.org/10.3389/fvets.2022.990798
refubium.affiliation
Veterinärmedizin
refubium.affiliation.other
Klinik für Klauentiere
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2297-1769
refubium.resourceType.provider
WoS-Alert