This experiment was conducted to determine the prediction equations of standardized ileal digestible amino acids) SID (contents of poultry by-products meal (PBM) based on its chemical compositions. A total of 270 one-day-old Ross 308 male broiler chicks in nine dietary treatments (five replicates/six birds) were used. The treatments were included eight semi-purified diets containing each of PBM as the only source of dietary protein and one nitrogen free diet in order to determine SID amino acids. On day 28, the birds were euthanized to collecting ileal digesta for further analyses of acid insoluble ash and amino acids. The SID contents of Met and Lys was varied from 0.52 to 0.89% and 1.88 to 2.46%, respectively (P< 0.05). Finally, according to adjusted coefficient of determination and standard error of prediction the best prediction equations were selected to predict 10 SID amino acids of PBM. For example, the prediction equations of Lys, Met, Met + Cys and Thr was recommended:
Aghaei Eshtejarani, A., Moravej, H., & Ghaziani, F. (2024). Determination of prediction equations of standardized ileal digestible amino acids of poultry by-products meal in broiler chicken. Iranian Journal of animal Science, (), -. doi: 10.22059/ijas.2024.377161.654016
MLA
Asghar Aghaei Eshtejarani; Hossein Moravej; Fatemeh Ghaziani. "Determination of prediction equations of standardized ileal digestible amino acids of poultry by-products meal in broiler chicken", Iranian Journal of animal Science, , , 2024, -. doi: 10.22059/ijas.2024.377161.654016
HARVARD
Aghaei Eshtejarani, A., Moravej, H., Ghaziani, F. (2024). 'Determination of prediction equations of standardized ileal digestible amino acids of poultry by-products meal in broiler chicken', Iranian Journal of animal Science, (), pp. -. doi: 10.22059/ijas.2024.377161.654016
VANCOUVER
Aghaei Eshtejarani, A., Moravej, H., Ghaziani, F. Determination of prediction equations of standardized ileal digestible amino acids of poultry by-products meal in broiler chicken. Iranian Journal of animal Science, 2024; (): -. doi: 10.22059/ijas.2024.377161.654016