Prediction of net energy value of corn and soybean meal for broiler chicken  

作　　者：HUAN Zong-jin WANG Kang-ning 

机构地区：[1]Department of Animal Nutrition Institute, Sichuan Agricultural University, Ya ＇an 625014, China

出　　处：《Journal of Agricultural Science and Technology》2009年第6期6-12,共7页农业科学与技术（美国大卫英文）

摘　　要：Net energy （NE） is the most accurate and unbiased way in characterizing the energy content of feed. Comparatively speaking, research on NE prediction is still limited and under development. Therefore, it is important to correctly assess NE for further study. In this study, an energy balance trial and a fasting metabolism trial were used to measure the net energy for production （NEp） and the net energy for maintenance （NEm）, respectively. Meanwhile, a backward method of multiple linear regression was applied to establish prediction equations for NE. The results showed that corn NE is about 2 times higher than that of soybean meal, due to the efficiency of ME （k） utilization by the ingredients. Meanwhile, AME and acid detergent fiber （ADF） were found to be better predictors for the NE of corn and soybean meal, respectively. Furthermore, Equations 1（R^2=0.993, RSD=0.0091） and 12 （R^2=0.999, RSD=0.0008） were found to be better prediction equations in multiple linear regression analyses for corn and soybean meal, respectively. However, considering the cost of the analytical procedures, the accuracy of the prediction （RSD）, and the additional variability or errors due to interlaboratory variance, Equation 4 （R^2=0.990, RSD=0.0109） and Equation 20 （R^2=0.996, RSD=0.0043） were better models for corn and soybean meal, respectively. Nevertheless, these equations for corn and soybean meal should be applied only under similar experimental conditions.

关 键 词：net energy CORN soybean meal CHICKEN prediction equatton 

分 类 号：S792.12[农业科学—林木遗传育种] S828.5[农业科学—林学]