Moorella Farming MGT Platform
MGT Platform

Selection indexes built for your enterprise, not the national average.

Every beef and sheep index in use today applies one set of economic weights to every producer. The MGT Platform calculates the weights from the ground up — for your country, your costs, and the market you sell into.

Beef bull on pasture
Built for every Australian producer · cattle & sheep · any breed
Cattle
Beef
All breeds & composites
Sheep
Sheep
Wool, meat & shedding flocks
The problem with every existing index

A single economic weight cannot serve every producer.

Most established selection indexes — all use fixed economic weights derived from a single enterprise model. A producer on 300mm country selling light weaners should not rank bulls the same way as one on 700mm country finishing heavy steers. Current systems treat every enterprise identically.

Fixed weights, real markets

Index weights are reviewed every 3–5 years. Between reviews they ignore what the EYCI, ESTLI, or grain market is actually doing.

Additive independence assumption

Traditional indexes assume traits contribute to profit linearly and independently. Mature cow weight, fertility, and feed availability interact in ways linear algebra cannot capture.

GxE acknowledged, not applied

Genotype-by-environment interaction is well documented in the literature. No commercial index actually adjusts expected genetic expression for the producer's environment.

Nutrition evaluated in isolation

A high-growth genotype is only valuable if the feed base supports it. Existing indexes score genetics as if feed is unlimited.

Five streams, one index

Enterprise-specific weights, recalculated on every invocation.

The MGT Dynamic Index Engine fuses five data streams that have never been integrated in one selection system. An AI layer models non-linear trait interactions and produces plain-English explanations for every ranking.

1

Enterprise profile

Location, rainfall, pasture, target market, full DSE cost structure.

2

Genetic data

BREEDPLAN, Sheep Genetics, Zoetis Inherit Select, IGS — mapped across systems.

3

Live market

MLA indicators: EYCI, ESTLI, Heavy Steer, Feeder, Trade Lamb, Restocker.

4

Nutrition

Satellite biomass, supplementary feed, seasonal feed availability curves.

5

Genetic parameters

800+ rows of peer-reviewed data: heritabilities, correlations, GxE, heterosis.

Grounded in published science

30 GxE factors. 9 reaction norm parameter sets. 79 trait mappings.

The platform's parameter library is drawn from peer-reviewed Australian and international research — Burrow 2012, Barwick et al. 2009, and the Sheep Genetics and BREEDPLAN parameter sets. Every ranking is explainable, every weight is auditable.

67
Data tables
800+
Published parameters
79
Trait mappings
22
AI engine tools

Your next bull buy, ranked for your operation.

Import a sale catalogue. The platform calculates the economic weights from your farm profile and current market, then returns a ranking in $/cow/year specific to your enterprise — with a plain-English explanation for every position.

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