Seid Mohammad Reza Ijadi; hossein Moravej; Mahmood shivazad; Mohammad Hossein Mohammadi Ghasem Abadi
Volume 20, Issue 4 , February 2019, , Pages 589-599
Abstract
This study was conducted to determine the regression equations based on chemical analyses for predicting apparent metabolizable energy corrected for nitrogen retention (AMEn) with nine soybean oil samples available in Iran’s market. Soybean meal AMEn was measured by replacement method with broilers ...
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This study was conducted to determine the regression equations based on chemical analyses for predicting apparent metabolizable energy corrected for nitrogen retention (AMEn) with nine soybean oil samples available in Iran’s market. Soybean meal AMEn was measured by replacement method with broilers in starter (seven to d 10), grower (21 to d 24) and finisher (31 to d 34) periods through acid insoluble ash marker. The results of current study demonstrated that there are significant difference between chemical analyses data and also biologically determined AMEn of soybean samples available in Iran’s market. The mean of soybean meal AMEn measured in the starter, grower and finisher periods was 1463, 1871 and 2025 kcal/Kg based on dry matter, respectively. Moreover, the difference between estimated value with NRC equation and biologically determined AMEn, in the starter, grower, finisher and whole periods was 34.2, 15.8, 8.9 and 19.7 percent, respectively. Finally, these equations based on coefficient of determination and standard error of prediction criteria are suggested for the starter: AMEn= 47.873×NFE, grower: AMEn= 60.203×NFE, finisher: AMEn= 65.612×NFE and the whole of periods: AMEn=57.923×NFE. As a result, it seems that the equations of current study with accurate AMEn estimation of soybean meals will cause optimum broiler performance.