There is great potential to further advance the livestock sector through research and innovation in performance recording, breeding value prediction, and the development of livestock breeding. A key opportunity lies in the cost-effective collection of data on new economically important phenotypes, which can then be used in breeding practice for real economic impact.
One example is the use of sensor data in dairy cattle farms, where data from different sources can be combined with outputs that make economic sense for breeders. Additionally, genomic prediction of breeding values and subsequent selection represents another promising approach. In dairy cattle breeding, for instance, selection now extends beyond production and non-production traits to environmental considerations. Advancements in breeding values now make it possible to breed for genetic traits that, among other things, lower methane emissions or enhance feed conversion efficiency.
Breeding strategies must adapt to the changing landscape and priorities in the livestock sector. This involves integrating new approaches to data processing, such as machine learning, deep learning, and big data analysis. Investments in breeding, given their effectiveness and cumulative impact, are ideally suited for this purpose.
International cooperation, exemplified by organisations such as the International Committee for Animal Recording (ICAR) and its subsidiaries Interbull and Interbeef, can also prove highly effective. ICAR, a platform that fosters knowledge and collaboration, brings together experts from 130 organisations in 60 countries to share insights, compare results, and develop international guidelines.
Striking a balance between sustainability, environmental goals, and the economic realities of different countries is also crucial. The diverse economic climates, needs, and challenges that exist across regions must inform the development of future strategies. Technological requirements also vary, with distinct differences between Europe and North America compared to Africa, for example.
Moving forward, the livestock production chain will require new economic models and national policies. Education, scientific research, and the sharing of international experiences, ideally through cross-border projects, will be key to achieving progress.
Г-н Pavel Bucek