ADN Chair
Reduce feed costs for broiler chicken production
- Adjust nutritional requirements
- Achieve desired production results
- Determine the most cost-effective feed formulation
- Improve technical performance across the entire production chain
Who is this for?
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Formulator
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Technical manager
Context
Feed accounts for approximately two-thirds of the production cost of a chicken, making feed costs the primary driver of competitiveness. Faced with this major challenge, nutritionists wonder whether chickens fully capitalize on the investment made in feed? What performance can be expected for a given nutritional concentration? What is the most appropriate nutritional strategy in my specific context?
- Mixscience offers its support to feed mills and production chains grappling with these questions with their innovative nutritional modeling tool: ADN.
Deliverables
- Assessment of a production chain’s ability to maximize the value of a given feed range
- Identification of levers for improvement to enhance this value: feed mill, formulation, chick quality
- Prediction of rearing performance for a new feed range
- Recommendation of the most cost-effective nutritional strategy to achieve a given performance target
Key features
Using ADN, Mixscience offers the chicken production sector its comprehensive and innovative approach, which focuses on two key areas for improvement: first, the optimization of the feed range, and second, the ability of all links in the supply chain to maximize the potential of this range.
To assess a sector’s overall performance through leveraging the feed, Mixscience has developed a summary indicator, a true KPI designed for technical managers.
ADN’s nutritional modeling is highly effective.
To develop and update it, Mixscience’s data scientists rely on an accurate, robust, and scalable database derived from some forty trials on fast-growing chickens conducted at the Mixscience Research Center. And to further enhance accuracy, interactions between nutritional predictors are also taken into account.
ADN offers industry stakeholders realistic performance predictions, as the modeling incorporates not only the feed profile but also the production chain’s ability to utilize the feed effectively.
