Parameterization of feeding levels and feed composition on growth model and nutrient retention in rainbow trout (Oncorhynchusmykiss)

This study was to up-grade a model leading to a more accurate prediction of growth and body composition in rainbow trout. Based on an earlier model (FGS2) predicting fat and protein retention in relation to feed level and composition, we tested the model using the latest nutritional experiment conducted on rainbow trout. The result showed that our model predicted more accurately by up-grading digestibility estimates for protein, fat and carbohydrate and also maintenance and feeding metabolism than that of FGS2. A more accurate prediction observed in relation to wet weight gain and protein retention can be resulted from the correction of digestibility estimates, calculation of heat loss based on feed composition and changing of routine metabolism coefficient.