The SRNS model is the result of a joint collaboration among Texas A&M University, Cornell University, and Sassari University.
The SRNS is a computer model to predict nutrient requirements of sheep and feed biological values on farms based on the structure of the Cornell Net Carbohydrate and Protein System (CNCPS) for Sheep.
The SRNS predicts energy, protein, calcium and phosphorus requirements accounting for animal (BW, age, insulation, movement, milk production and composition, body reserves, mature weight, pregnancy) and environmental (current and previous temperature, wind, rainfall) factors.
Feed biological values are predicted based on carbohydrate and protein fractions and their ruminal fermentation and passage rates, microbial growth, and physically effective fiber.
Comments