Challenges of integration and validation of farm and sensor data for dairy herd management

Autor: Miglior, F., author, Pinotti, L., author, Boyle, L., author, Kenny, D., author, Lee, M., author, De Marchi, M., author, Cadavez, V.A.P., author, Millet, S., author, Evans, R., author, Veldkamp, T., author, Pastell, M., author, Pollott, G., author, Spoolder, H., author, Schodl, K., author, Fuerst-Waltl, B., author, Schwarzenbacher, H., author, Steininger, F., author, Suntinger, M., author, Papst, F., author, Saukh, O., author, Lemmens, L., author, D4dairy-Consortium, author, Egger-Danner, C., author

Publikováno v: Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science. :548-548

Hind feet position score: A novel trait to genetically reduce lameness incidence

Autor: A. Köck, J. Kofler, L. Lemmens, M. Suntinger, M. Gehringer, F.J. Auer, K. Linke, B. Riegler, C. Winckler, G. Berger, C. Egger-Danner

Publikováno v: JDS Communications, Vol 5, Iss 1, Pp 38-41 (2024)

Lameness is an important health and welfare issue that causes considerable economic losses in dairy herds. The objective of this study was to investigate whether the hind feet position score (HFPS) can be used as an auxiliary trait for genetic evalua

Externí odkaz: https://doaj.org/article/362220f6edaf4d64ac0c9d3bc4cd67d4

Usability of bacteriological milk analyses for genetic improvement of udder health in Austrian Fleckvieh cows

Autor: Suntinger, M. ^*, Fuerst-Waltl, B., Obritzhauser, W., Firth, C.L., Köck, A., Egger-Danner, C.

Publikováno v: In Journal of Dairy Science June 2022 105(6):5167-5177

The Combined Use of Automated Milking System and Sensor Data to Improve Detection of Mild Lameness in Dairy Cattle

Autor: Lena Lemmens, Katharina Schodl, Birgit Fuerst-Waltl, Hermann Schwarzenbacher, Christa Egger-Danner, Kristina Linke, Marlene Suntinger, Mary Phelan, Martin Mayerhofer, Franz Steininger, Franz Papst, Lorenz Maurer, Johann Kofler

Publikováno v: Animals, Vol 13, Iss 7, p 1180 (2023)

This study aimed to develop a tool to detect mildly lame cows by combining already existing data from sensors, AMSs, and routinely recorded animal and farm data. For this purpose, ten dairy farms were visited every 30–42 days from January 2020 to M

Externí odkaz: https://doaj.org/article/d3e133ea069c43078751517f95ce01f3

Benchmarking Based on Regularly Recorded Claw Health Data of Austrian Dairy Cattle for Implementation in the Cattle Data Network (RDV)

Autor: Johann Kofler, Marlene Suntinger, Martin Mayerhofer, Kristina Linke, Lorenz Maurer, Alexandra Hund, Andrea Fiedler, Jürgen Duda, Christa Egger-Danner

Publikováno v: Animals, Vol 12, Iss 7, p 808 (2022)

While benchmarking is already used for the assessment of performance gaps in cattle herd management and welfare concerns, its application to quantifying claw health performance is relatively new. The goal here was to establish a benchmarking system f

Externí odkaz: https://doaj.org/article/d8d577df16f24f96af374569df8d62c3