Evaluation of Cncps Predictions of Milk Production of Dairy Cows Fed Alfalfa Silage
نویسندگان
چکیده
The Cornell Net Carbohydrate and Protein System (CNCPS) model has a mechanistic ruminal submodel that uses carbohydrate and protein degradation rates to predict the amount of feed that is fermented in the rumen and the amount that escapes undigested to the lower gut (Russell et al., 1992; Sniffen et al., 1992). The CNCPS has been modified as new information becomes available (Fox et al., 2003a). Overall, model validations indicated that it can provide realistic estimates of animal performance over a wide range of dietary ingredients (Fox et al., 2003a). However, preliminary analyses indicated the CNCPS did not provide realistic predictions of milk production when alfalfa silage was the sole dietary ingredient; it underpredicted nutritive value of diets based on alfalfa silage in lactating dairy cows with a mean bias as great as 50%.
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