Measurement and Development of Prediction Models for Metabolizable Energy Contents of Corn Samples Collected from Poultry Feed Factories in Iran using Regression Equations

The purpose of this study was to determine the contents of chemical compositions, apparent metabolizable energy (AME), apparent metabolizable energy corrected for nitrogen (AMEn), true metabolizable energy (TME), true metabolizable energy corrected for nitrogen (TMEn), in corn samples, as well as to predict diferrent energy contents of corn samples given their chemical components. A total of 30 samples were colleted from Iranian poultry feed plants. Metabolizable energy criterias of each sample were obtained by percision feeding method with 4 replications. Based on laboratory assessments, average of dry matter, crude protein, crude fat, crude fiber, ash, starch and glucose were 90.02, 9.15, 3.28, 3.93, 1.45, 65.33 and 9.79 (% of DM), respectively. In farm experiments, the gross energy, AME, AMEn, TME and TMEn were obtained as 4375, 3284, 3219, 3873, and 3781 )kcal/kg DM(, respectively. Using provided database, multiple regression equations were developed for predicting different values of AME, AMEn, TME and TMEn based on chemical composition in corn samples. These system of equations can be used practically for predicting energy of corn samples in poultry feed manufactures and poultry farms.