Development of a Prediction Equation for the Metabolizable Energy of Wheat Bran in the Nutrition of Grower Period in Broiler Chickens

Document Type : Research Paper

Authors

Department of Animal Sciences, Faculty of Agriculture, University of Tehran. Karaj. Iran

Abstract

This study was conducted to develop predictive regression equations for the apparent metabolizable energy corrected for nitrogen (AMEn) of wheat bran samples produced in Iran. To this end, twelve wheat bran samples were collected from flour mills across various provinces of the country (Alborz, Khuzestan, Hamedan, Shiraz, Azerbaijan, Lorestan, Kerman, Zanjan, Qom). The samples were analyzed for crude protein, crude fiber, crude fat, acid detergent fiber (ADF), and neutral detergent fiber (NDF) content.The apparent metabolizable energy of the wheat bran samples was determined in broiler chickens aged 22 to 27 days, using the substitution method in the diet and the CELITE marker (used as acid-insoluble ash) for digestibility calculations. The basal diet in this study consisted of corn and soybean meal, with wheat bran substituted at 30% of the basal diet.The data obtained from this experiment were analyzed using SPSS software, applying the ENTER regression procedure to develop predictive equations for AMEn based on the chemical composition of wheat bran samples.The resulting regression equations for predicting AMEn of Iranian wheat bran samples were derived, and among them, the most suitable equation was selected based on criteria including p-values of the equations, p-values of the independent variables’ coefficients, the coefficient of determination (R²), and the standard error of prediction (SEP), the most appropriate equation proposed was: AMEn=23.421×NFE.

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Articles in Press, Accepted Manuscript
Available Online from 26 August 2025
  • Receive Date: 01 July 2025
  • Revise Date: 28 July 2025
  • Accept Date: 28 July 2025