What makes us different?

Value Adding

1. Active, high-level involvement in all facets of the entire feed business

a. Depending on the requirement and expectations of customers

2. Assist stakeholders of the entire industry and feed value chain to effectively align themselves and create maximum value through mutual support structures

Raw Ingredient Procurement

1. Maize and Soybean: Safex (South Africa Future Exchange) hedging
2. Soybean meal: Component Pricing
3. Logistics
4. Macro and Micro ingredient procurement

a. Globally

5. Quality standards

Manufacturing and Quality

 GMP systems

Training in quality systems
Help customers with the development of an effective QC system
Monitoring raw material and final product quality
Feed mill management and optimization
Processing technology
Feed mill efficiency

Formulation

Active management of formulas

Commercial inputs (ingredient prices, availability, and production forecast)
Technical inputs (RM matrix, specifications)
 Quantify every facet and impact on the cost of the diet

Analytical services

NIR and wet chemistry:

 Own internal lab

 Focus on NIR programs and value-added service

Collaboration with other selected laboratories
Co-operate with best global laboratories for special nutrient analysis
Evaluate external laboratory
Negotiate special prices
 Competitive

Cost
Accuracy & Quality
Develop optimal analytical scheduless
 Interpretation and best use of nutrient results

Monitor quality of wet chemistry results for accurate NIR calibrations
 Unscrambler software for NIR calibrations

NIR calibration

NIR calibration on Perten NIR
 Two-way agreement with customers

We supply the existing calibration to the customer at a cost
The customer keeps sending samples to continuously improve the calibration
We keep improving the calibration for our customers
 Building custom calibration if necessary

 Customer’s calibration reflects the actual analysis of raw materials and forages he deals with daily

Research studies

Management of trials for our Customers:

Planning, execution, statistical analysis, reports, recommendations
Trial facilities for poultry (2×96 pen facilities)
Diet densities – specific for customer or market
 Variety of other trials

Performance evaluation
Raw material evaluation
 Additives evaluation

Back Office

Nutritionists

Three full-time Nutritionists (currently)
Support for traveling consultants
Capture diets of customers on Matrix
Do least cost formulations
Evaluate and interpret raw analytical results
Special projects

Commercial Modelling

Poultry

EFG Broiler Growth model and 2 in-house developed models for both the Cobb 500 and the Ross 308 birds.

Feed First makes use of various commercial models like the EFG Broiler Growth model. The EFG refers to three world-renowned scientists that developed the Model, namely Emmens, Fisher and Gous. It is a mechanistic model that predicts feed intake for a specific breed. It uses mature bird characteristics to describe the breed. Once feed intake is known, growth and FCR can easily be predicted.

Feed First also has developed 2 models in-house for both the Cobb 500 and the Ross 308 birds. These models are more empirical than mechanistic. It is therefore not built on ground principles like those of the EFG model. The advantage, however, is that the Model is very accurate for the specific business situation. It works well with the modern genetics where feed intake prediction becomes challenging in very young broilers that tend to over consume feed and where external brooding practices have a much bigger effect on feed intake than diet specifications. The objective of the model is to calculate the specific feed specifications, while maximizing the profit of the production unit.

Feed First has further developed strong data analysis capabilities. These capabilities are being used to analyse customer production databases and convert it into mathematical prediction equations, that allow Feed First customers to optimize their business and thereby maximize profits.

Ruminants
The CNCPS model

 Developed last 30 years by researchers from Cornell University and other USA institutions

 Continuous updating takes place

Dynamic, mechanistic and mathematical model that represents the integration of research results from numerous basic and applied studies
 Goal: to accurately predict nutrient requirements and supply for any production situation

Minimizes cost of production and limits wastage
Formulates least cost of gain diets (R/kg meat produced)
 Most profitable

Prediction of nutrient requirements – Principles

Requires various accurate inputs of variables that will all contribute to influence the actual final production output achieved within a given situation

 Model Predictions

Energy, metabolizable protein, amino acid, and mineral requirements for maintenance and tissue deposition
Intake and ruminal degradation of feed carbohydrate and protein fractions, and microbial growth
Intestinal digestion and excretion
 Metabolism of absorbed energy, protein, and amino acids

AMTS. Cattle & NDS

Primary objective of field application and diet formulation

Designed for nutritional consultants, extension agents, and university researchers
Valuable tool for teaching nutrition
Due to the interface, very easy to use with special features included
It can be easily used in teaching nutrition concepts
Software platform developed around the CNCPS dynamic model
Platform is an evolving application
 Continuously updated,

as the results of new researches is available
 as the updates of the biological model are released by Cornell University

Accurately predicts nutrient requirements and supply in each unique production situation for all type of animals
Tool supporting the design and evaluations of diets
 You can compare rations options to see which feeds can help to lower feed cost or nutrient excretion

Strives to add value to clients by maintaining a superior level of technology and insight.

+27 (0) 12 664 0484

info@feedfirst.co.za

7 Murati Ave, Die Hoewes, Centurion, 0163