The BeefAI™ Regen Genetics Score (RGS) is a proprietary genetic scoring tool — distinct from grazing education programs — that analyses BREEDPLAN/TACE data specifically for producers running AMP systems. It answers a different question from the standard production $Indexes: given that this property is managed regeneratively, which genetics will best support the biological machinery the regen system depends on?
Most regen producers are still selecting bulls the same way a feedlot backgrounder does. The traits that drive profit in a conventional system are not the same traits that drive profit — and land recovery — in an AMP system. That gap is what the Regen Genetics Score closes.
Regenerative grazing is a system of biological intensification. Long rest periods allow pasture to recover fully before the next graze. High stock density during the graze event deposits organic matter, stimulates root exudation, and drives the liquid carbon pathway that builds soil carbon over time. The genetics running through that system need to be matched to it — not selected against it.
The Problem With Conventional Selection in a Regen System
Conventional bull selection optimises for growth rate and carcase weight per unit of feed consumed in a feedlot or high-input grazing system. In that system, a heavier mature cow is not a liability — supplementary feeding can offset her maintenance requirement during a dry season.
In an AMP system, that logic breaks down. The regen producer relies on the land to carry the herd. There is no feed buffer. A cow with a high mature weight is consuming pasture that should be rest-recovering between grazing events. She is compressing the biological recovery window the entire system depends on. And if she does not get back in calf quickly — or stay in the herd long enough to repay her development cost — the genetics are working against the enterprise at every level.
“Selecting bulls for regen is not just about picking low-input animals. It is about matching the genetic profile of the herd to the biological requirements of a system that generates value through soil, not supplement.”
The Four Traits That Drive the Score
The Regen Genetics Score is built on four TACE-published EBVs, each chosen because of a direct, documented biological relationship with AMP system performance.
How It Works in Practice
The RGS is calculated from the percentile ranks of each trait, weighted according to the producer’s operation type. The result is a composite score on the same zero-to-ten scale as the existing BeefAI Champion score.
A producer uploading a TACE document for a bull they are considering for a regen operation will receive both the standard Champion score and the RGS — side by side. A bull that looks average in the conventional index may score elite in the regen index. Or vice versa. The point is that the right answer depends on the system the bull is going into.
Why This Is DOI-Referenced Methodology
The Regen Genetics Score is not a subjective weighting scheme. Each of the four traits is linked to a documented biological mechanism. NFI-F and MCW each have dedicated BeefAI™ Zenodo publications. The DLI has its own six-trait composite methodology paper. Days to Calving is the primary fertility EBV in TACE.
The RGS methodology is peer-reviewed and fully documented. Every weight, every adjustment, and every threshold is citable. Producers, agronomists, and Scope 3 auditors can verify the logic behind every score the system produces.
Three Value Chains. One Decision.
The genetics driving a regen herd are now intersecting with three converging commercial pressures at once. The Regen Genetics Score is built to serve all three.
What’s Included
Two features are included in your existing BeefAI™ subscription. A third — full land calibration — is available as a premium add-on for operations that want their genetics scored against their own country.
- ✓ Included in your existing subscription — Regen Genetics Score and Regen Producer Report require no new plan
- ✓ Land-Calibrated adds $100/month — full property-specific calibration for operations tracking pasture performance data
- ✓ Same zero-to-ten scale — the RGS uses the same verdict tiers as the Champion score. No new learning curve.
- ✓ Works on existing TACE documents — no new data collection required. Upload the same document you already have.
The same rigour. A different question. A new score.
Peer-Reviewed Methodology
The Regen Genetics Score is built on published, citable science. Every trait weight, adjustment factor, and scoring threshold is fully documented. Producers, agronomists, and Scope 3 auditors can verify the logic behind every score the system produces.
Already on the platform?
The Regen Genetics Score appears automatically in your analysis reports. Your operation type is stored in your profile — if you manage under AMP or regen principles, confirm your management input setting → so the right weights are applied.
Methodology & Prior Art
The full RGS scoring methodology, formula derivation, and a worked five-bull battery are published under DOI on Zenodo (10.5281/zenodo.19477787).