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, nutrient levels, and crop performance -to enable smarter product development, targeted application, and sustainable innovation.
Detailed insights into soil quality and nutrient balance, helping landscaping professionals and golf courses maintain healthy turf, optimise inputs, and support sustainable green space management.
For reliable soil, crop, and feed analyses, clear data interpretation, and practical advice to optimise yields, sustainability, and farm 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 with traceable insights for ESG reporting, carbon credits, and green investments.
Insights into soil and forage quality, helping horse keepers ensure optimal pasture management, balanced nutrition, and a healthy environment for horses’ wellbeing and performance.
Support with precise analyses and clear insights to help optimise crop production, improve sustainability, and strengthen advisory services to members of the cooperatives.
Data-driven insights into soil, crop, and nutrient conditions, enabling agricultural machinery manufacturers to develop smarter, more precise equipment that enhances efficiency, supports sustainability, and boosts performance.
Reliable data on soil, crops, and nutrients - supporting policy development, sustainable land use, infrastructure planning, and scientific research with actionable, traceable insights.
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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.