Optimal farm management with soil, manure, compost, water, crop and forage testing to boost yields and sustainable profitability.
Accurate soil, crop, and feed data to enable better sourcing, traceability, and sustainable decisions across the supply chain.
High-quality data on soil health, nutrients, and crop performance to enable smarter product development, targeted use, and innovation.
Detailed insights into soil quality and nutrient balance to help professionals maintain healthy turf and manage green spaces sustainably.
For reliable soil, crop, and feed analyses, clear data insights, and practical advice to improve yield, sustainability, and profitability.
Supporting of seed producers with science-driven solutions that enhance breeding, production, and quality assurance.
Verified data on soil health, crop performance, and nutrient flows supporting finance, carbon, and sustainability platforms.
Insights into soil and forage quality to help horse keepers manage pastures, balance nutrition, and support horse health.
Support with precise analyses and clear insights to optimise crop production, improve sustainability, and strengthen advisory services.
Data-driven insights into soil, crop, and nutrient conditions to develop smarter, precise machinery for better efficiency and performance.
Reliable data on soil, crops, and nutrients supporting policy, sustainable land use, infrastructure planning, and research.
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The CNCPS (Cornell Net Carbohydrate and Protein System) model is a dynamic, mechanistic model developed by researchers at Cornell University to predict the nutrient requirements and feed utilisation efficiency in ruminant animals, particularly dairy cattle. The model integrates biological, chemical, and physical processes that occur in the digestive system of ruminants, providing a comprehensive tool for assessing the nutritional needs of these animals.
CNCPS considers the complex interactions among dietary components, microbial activities in the rumen, and nutrient absorption in the digestive tract. It incorporates factors such as forage quality, dietary composition, and animal physiology to estimate nutrient supply and demand.
The system is heavily based on digestibility of different components such as NDF, protein, and carbohydrates. The NDF pool gives insight in the speed of digestibility and therefor shows multiple values on digested NDF in the rumen over time (from 0 to 240 hours). The protein and carbohydrates pool is also based on digestibility where different fractions are analysed on how fast they come available in the rumen.
The CNCPS model has become a valuable resource in the field of ruminant nutrition, contributing to advancements in understanding nutrient utilisation and guiding the development of effective feeding programs for improved animal health and productivity.