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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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The objectives of this study were to develop equations for predicting gross energy (GE) and nitrogen-corrected apparent metabolizable energy (AMEn) based on the chemical compositions of feed ingredients, as well as to evaluate the accuracy of these prediction equations. For the GE prediction, a total of 2,084 ingredient samples were utilized, comprising 592 cereal by-products, 428 cereal grains, and 1,064 oilseed meals. Additionally, data for AMEn prediction included 74 samples, consisting of 22 cereal grains, 44 cereal by-products, and 8 oilseed meals. Furthermore, to validate the equations, five equations obtained from the literature were compared with the AMEn values derived from INRA (2004) using regression analysis. Three developed equations for GE concentrations in feed ingredients exhibited similar coefficients of determination (R²) of 0.379, 0.385, and 0.388, respectively. However, the slopes and Y-intercepts of the developed prediction equations for GE in feed ingredients displayed significant differences from the line of y = x. Conversely, the equations developed for estimating AMEn in feed ingredients for broiler chickens demonstrated relatively higher R² values of 0.712, 0.767, and 0.786 for Equations 1, 2, and 3, respectively. A validation test of the developed equations for AMEn indicated intercepts of −62.2 (P = 0.354), —78.6 (P = 0.162), and —93.7 (P = 0.085), along with slopes of —0.18 (P = 0.094), 0.05 (P = 0.648), and 0.07 (P = 0.465).
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