Feed Nutrition Evaluation Tool - Adisseo FeedSolutions

PNE, FOR PRECISE NUTRITIONAL EVALUATION

PNE is a service based on Near Infra Red spectroscopy (NIR) technology. NIR is a convenient tool to assess the characteristics of feed ingredients. Adisseo has developed original proprietary calibrations based on in vivo data. Our technology is adapted to all main dietary ingredients (grains and their by-products, oilseeds and their meal, and animal by-products). PNE can predict multiple characteristics impacting nutritional quality, such as crude protein, total and digestible amino acids, metabolizable energy for poultry, total and phytic phosphorus, and arabinoxylans.

PNE, YOUR RAW MATERIALS DECISION-MAKING TOOL

PNE is available 24/7 thanks to its web platform. More than an NIR web platform, PNE is the ideal decision-making tool for nutritionists, formulators, purchasers and quality control managers. It enables them to monitor the quality of raw materials over time, compare raw materials coming from different geographical origins, and evaluate suppliers.

PNE, INDISPENSABLE FOR NUTRITIONISTS

PNE allows real-time predictions of your raw materials: With PNE, easily access your raw material nutritional values. Upload your spectra and get your customized results in few seconds. PNE is the perfect tool to make timely decisions.

PNE’s accuracy & strength through in vivo methods for precise values: PNE NIR predictions rely on Adisseo expertise in in vivo experimental measurements using in vivo reference methodologies. This guarantees a high level of accuracy of digestible amino acids and metabolizable energy predictions.

PNE provides actionable data:

Accurate quality control and traceability: Aggregate and trend analyses – Follow your raw materials quality over the time, detect abnormal samples and make the right decisions.
Accurate raw material sourcing: Compare your raw materials origins and discriminate your suppliers thanks to PNE comparisons charts.
Benchmark your results: Benchmark your own PNE results against millions of PNE results. Compare your raw material values to the ones of other countries, and to the worldwide average.

Last PNE News

Focus on the precise values for soybean meals

July 2019 Soybean meal (SBM) remains the most frequently used oilseed meal in monogastric feeds. Expected to provide high quality protein and amino acids (AA) profile, SBM is included at rather high rate, particularly in broiler feeds. Consequently, SBM weighs heavily on final feed cost as well on animal performances. Read more
Advancia Academy 2019 – How to Monitor Impact of Feed Variability to Improve Formulation

Feedinfo News Service 20 June 2019 More than 120 participants attended the second Advancia Academy 2019 organized by Adisseo, in Gdansk, Poland, prior to the 22nd European Symposium on Poultry Nutrition. While the 22nd ESPN attracted more than 1,800 participants from June 11th, Adisseo organized its second Advancia Academy 2019 Read more
Adisseo and Feedipedia Partnership

Adisseo is the sponsor of Feedipedia which offers an access to a large in-depth knowledge of raw materials. Feedipedia is an open access information system on animal feed resources that provides information on nature, occurrence, chemical composition, nutritional value and safe use of nearly 1400 worldwide livestock feeds. It is Read more
Getting more value from your nutritional data

How to extract more values from Precise Nutrition Evaluation (PNE), Adisseo’s global NIR service platform, and how to utilise MyPNE as a decision-making tool to evaluate, purchase and formulate feed ingredients? Raw material variation, quality and cost are the key issues that concern feed millers. Nowadays, although Near Infra-red Reflectance Read more
Adisseo completes its NIR service with MyPNE, a unique access to business intelligence

MyPNE1, powered by Adifo, is an extension of the current web platform of Precise Nutrition Evaluation (PNE), the NIR service of Adisseo. In just a few clicks, My PNE interface allows users to easily analyze and extract the value of their PNE data sets Antony, Sept 15th, 2015 Adisseo and Read more