The AlfaGen alfalfa breeding program is always evolving. Breeder Jo Williams is currently pursuing a PhD integrating genomic selection into the breeding pipeline. By drawing on more than 15 years of Australian and international trial data, the project is developing predictive genomic models that allow for earlier and more accurate selection decisions. This means better varieties, identified sooner and brought to market faster.
The shift to genomic selection moves the program from a purely field-based phenotypic breeding system, where selections are made based on what you can observe in the field, to a data-driven, predictive platform that increases both the efficiency and the scalability of genetic gains.
In practical terms, that means:
- Faster breeding cycles, reducing time to market for new varieties
- Increased selection accuracy, particularly for complex traits
- Enhanced utilisation of existing data, converting historical trial datasets into predictive tools
- A stronger foundation for targeting complex and emerging traits as industry needs evolve
For Jo, the measure of success is simple. Varieties that perform in paddocks and support enterprise profitability. That connection between breeding, science and real-world outcomes is what drives the program forward, and what growers will see in the next generation of AlfaGen varieties. More precisely selected, better adapted, and brought to market faster.
Elite new genetics are already in development across all dormancy categories, for a wide range of regions and end-use systems.
While we don’t supply seed directly to farmers, AlfaGen products are available through trusted distributors and farm supply stores. If you don’t know who your local distributor is, please reach out via the enquiry form and we can assist.
We have a strong wholesale distribution network around the world and we’re always open to new opportunities to expand into additional territories. If you’re interested in partnering with us as a large-volume alfalfa seed distributor, get in touch with our team here.