Abstract

This study was performed in the context of a crossbreeding program with cattle of the dairy breed German Holsteins and the two-purpose breed (milk and meat) German Fleckvieh (Simmental) at the Experimental Farm Oberschleissheim of the University Munich. Since German Fleckvieh cows are more robust and have less health problems (udder and legs) than German Holsteins in an automatic milking system with free cow traffic (Scholz et al., 2001a, b), one question was, if already the newborn F1 crossbred calves of these two breeds would show an advantage in bone stability (and body composition for meat production) over their parent breeds. The data were acquired by using dual energy x-ray absorptiometry (DXA), which is a relatively new method for the measurement of bone mineralization and body composition in livestock (Mitchell and Scholz, 2001). The principle of DXA is based on the different x-ray attenuation of different body tissues. Thus, the whole body or body regions (claws: Nüske et al., 2002) can be analyzed for bone mineral content (BMC, g or %), bone mineral density (BMD, g/cm²), and for the content of fat tissue (DXA Fat, g or %) or lean tissue (DXA Lean, g or %). In this study the bone mineralization and composition of the whole body of female and male calves was compared among the four different breeding types: [German Holsteins -- DH], [German Holsteins | x German Fleckvieh ∼ -- DH-FV], [German Fleckvieh | x German Holsteins ∼ -- FV-DH], and [German Fleckvieh -- FV] during growth from birth (≥ 4th day of life) until 50th day of life. In addition, the study was aimed at the assessment of DXA for the measurement of early bone mineralization and body composition under the aspect of genetic evaluation of different breeding lines in cattle

A. Scholz, S. Nuske, P. Soffner, M. Forster

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume 2002. Session 11, , 11.46, 2002
Download Full PDF BibTEX Citation Endnote Citation Search the Proceedings



Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.