Optimal farm management with soil, manure, compost, water, crop and forage testing to boost yields and sustainable profitability.
Accurate data on soil, crops, and feed, to enable better sourcing, traceability and sustainability decisions across the entire supply chain.
High-quality data on soil health, nutrients and crop performance to support smarter product development and targeted applications.
Detailed insights into soil quality and nutrient balance to help landscaping professionals and golf courses maintain healthy turf.
Reliable soil, crop and feed analyses with clear interpretation and practical advice to optimise yields, 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 to support finance, carbon and sustainability platforms.
Insights into soil and forage quality to support optimal pasture management, balanced nutrition and equine health.
Precise analyses and clear insights to optimise crop production, improve sustainability and strengthen cooperative advisory services.
Data-driven insights into soil, crop and nutrient conditions to support smarter, more precise and sustainable agricultural machinery.
Reliable soil, crop and nutrient data to support policy development, sustainable land use, infrastructure planning and research.
View in a different locale / language
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.