Measuring What Matters: Turning Data into Decisions in Extensive Ruminant Systems

Production systems, whether cattle on natural veld or sheep in arid grazing regions, have traditionally relied on experience, visual assessment, and producer intuition for making management decisions. While these remain valuable, modern livestock systems increasingly require quantifiable and objective measurements to remain competitive and profitable.

The primary challenge is no longer the lack of data, but rather:

• Identifying which parameters are most relevant

• Interpreting these parameters correctly

• Converting information into practical and profitable decisions

From observation to quantification:

Extensive systems are inherently variable due to fluctuations in:

Rainfall
Forage quality and availability
Animal genetics
Management practices

Traditional visual indicators such as body condition score, dung consistency, and grazing behaviour are still useful, but they are subjective and often reactive rather than predictive.

The integration of data enables a transition towards more structured management:

Traditional Approach	Data-Driven Approach
Reactive decision-making	Proactive intervention
Group-based management	Individual animal management
Assumptions	Measurable performance indicators

Table 1: Comparison of Traditional and Data-Driven Approaches

This shift forms the basis of precision livestock farming, where continuous monitoring allows for earlier and more accurate decision-making.

Key production parameters to measure:

Not all data contributes equally to profitability. The focus should remain on high-impact biological and economic drivers.

Parameter Category	Key Measurements	Contribution to Production Efficiency and Profitability
Animal Performance	• Average Daily Gain (ADG) • Weaning weights • Days to auction	Directly influences growth efficiency and turnover. Faster growth reduces time on veld and supplementation costs, improving profit per animal.
Reproductive Efficiency	• Conception rate • Days to conception (open days) • Calving/lambing percentage • Calving/lambing interval	A primary profit driver in extensive systems. Small improvements result in more animals being weaned per year, significantly increasing income without increasing herd size.
Nutritional Efficiency	• Supplement intake and response • Grazing utilisation	Ensures optimal use of natural resources. Prevents under- or over-supplementation, reducing feed costs while maintaining performance.
Animal Health and Welfare	• Morbidity and mortality rates • Parasite burden • Behavioral indicators	Early detection reduces losses and treatment costs. Healthier animals convert feed more efficiently and maintain reproductive performance.
Grazing & Environmental Indicators	• Camp utilisation • Biomass availability • Rainfall and seasonal trends	Enables better stocking rate and veld management decisions, improving long-term sustainability and production per hectare.

Table 2: Data to collect for Extensive Systems

Parameter Category	Key Measurements	Contribution to Production Efficiency and Profitability
Animal Performance	• Feed Conversion Ratio (FCR) • Average Daily Gain (ADG) • Days to market/slaughter • Dressing percentage	Core profitability drivers in feedlots. Improved FCR and ADG reduce feed cost per kg gain and shorten feeding periods, directly increasing margins. Kilograms of carcass sold are what customers are paid for; an increase in dressing percentage improves income and profit
Background Phase	• Structural growth • Pre-feedlot growth performance	Improved background performance leads to more efficient finishing and improved overall system profitability.
Nutritional Efficiency	• Dry Matter Intake (DMI) • Feed intake patterns • Diet response	Precise feed management reduces wastage and optimizes rumen function, improving feed efficiency and lowering cost per kg gain.
Animal Health and Welfare	• Morbidity and mortality rates • Treatment frequency • Behavioural indicators (intake, activity)	Early detection reduces treatment costs and performance setbacks. Sick animals have poor FCR, increasing the cost of pro-duction.
Environmental & Operational Indicators	• Pen utilisation • Feed bunk management • Climate/heat stress conditions	Efficient facility use and stress management improve intake, growth, and efficiency, ultimately improving profitability per pen.

Table 3: Data to collect for Intensive System

The value of individual animal data:

A key advancement in modern systems is the shift from herd-level to individual animal monitoring.

This enables identification of underperforming animals, targeted supplementation strategies, and objective culling decisions. As a result, producers can improve herd efficiency while reducing unnecessary input costs.

Practical application in Extensive Systems:

While high-tech solutions are advancing rapidly, data-driven decision-making does not have to be complicated or expensive.

A practical approach includes:

• Regular weighing

• Basic record-keeping (births, deaths, treatments)

• Camp rotation records

• Supplement intake tracking

System / Technology

What It

Measures / Collects

Example Product/ System

Key Benefits (Management)

Financial Impact for Farmers

Weighing & EID

Systems

Live weight, ADG, animal ID, treatments

Tru-Test XR5000

Tracks individual animal performance, identifies poor per-formers, and enables drafting by weight or criteria

Faster growth → fewer

feeding days;

identify low performers →

better culling decisions; improved feed efficiency

Basic Weigh Indicators

Live weight,

weight gain be-tween sessions

ID5000 Weigh Scale Indicator

Simple performance tracking,

easier adoption for smaller farms

Low-cost entry into data

→ improved decisions without high capital cost

RFID / EID

Ear Tags

Animal ID, movement, treatment history

Cattle Tracking Ear Tag

Individual animal traceability integrates with weighing systems

Reduces record errors; improves herd management → higher reproduction & lower losses

GPS Tracking Systems

Animal location, movement patterns

Cattle GPS Tracker

Monitors grazing behaviour, detects theft or straying

Reduced stock theft; better grazing utilisation

→ improved veld efficiency

Livestock

Monitoring

Platforms

Integrated data

(weight, health,

grazing)

Grazertrack Live-

stock Tracking

Starter Pack

Centralised data, real-time

insights, remote monitoring

Better decision-making,

labour savings, improved

overall herd efficiency

Mobile Apps & Software

(Data Integration)

Data storage, analysis, reporting

(e.g. Datamars Livestock software linked to Tru-Test) BenguFarm AgriWebb

DSS

Converts raw data into re-ports, trends, and alerts Links data to Stud Book

Turns data into actionable decisions → direct

profitability improvements

Table 4: Technology systems and their financial benefits

Conclusion: Measure What Pays

In extensive ruminant farming, margins are often tight, but the opportunity lies in efficiency.

• The farmers who succeed are not necessarily those who spend more, but those who:

• Measure the right things

• Act on the information

• Continuously refine their system

What gets measured gets managed, but what gets managed correctly becomes profitable.

Should you require more information relating to Turning Data into Decisions in Extensive Ruminant Systems, please contact your nearest De Heus Technical Specialist - https://www.deheus.co.za/meet-our-team/.

Measuring What Matters: Turning Data into Decisions in Extensive Ruminant Systems

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