Liang Yanru, Hou Qinteng, Yu Mengchao, Chang Yaqi, Zhao Hua, Liu Guangmang, Chen Xiaoling, Tian Gang, Cai Jingyi, Jia Gang
Institute of Animal Nutrition, Key Laboratory of Animal Disease-Resistance Nutrition Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Key Laboratory of Animal Disease-Resistant Nutrition and Feed, Ministry of Agriculture and Rural Affairs, Chengdu 611130, China.
Animals (Basel). 2023 Mar 20;13(6):1097. doi: 10.3390/ani13061097.
The goal of this study was to determine the net energy (NE) value of wheat for growing ducks and establish a NE prediction equation based on the grain's chemical composition. Forty wheat samples were selected based on bulk weight from major wheat-producing regions in China. A total of 460 1-week-old ducks (initial body weight (BW): 134.86 ± 3.32 g) were randomly assigned to 46 diets, including a basal diet, 5 restricted feeding diets and 40 test diets. Each diet contained five replicates, each with two ducks. The basic diet was a corn-soybean meal, and 40 kinds of experimental diets were prepared by mixing the basic diet with 20% wheat. A prediction equation for the NE concentration was created using the chemical make-up of wheat samples. The results indicated that the NE and apparent metabolism energy (AME) content of 40 wheat samples ranged from 6.81 to 9.12 MJ/kg and from 11.03 to 14.34 MJ/kg, respectively. The ether extract (EE), neutral detergent fiber (NDF), acid detergent fiber (ADF) and AME were highly correlated with NE value ( < 0.01), with the AME and NE showing the strongest correlation (r = 0.884). Chemical features could be used to predict the NE values with accuracy, and the prediction equation was strengthened by the inclusion of the AME. The best-fit equation was as follows: NE = 0.380 AME - 0.147 NDF - 0.274 ADF + 5.262 (R = 0.874, RSD = 0.19, < 0.001). In summary, the NE value of wheat is 8.49 ± 0.30 MJ/kg for growing ducks, and the chemical composition can be used to accurately predict NE in wheat.
本研究的目的是测定生长鸭对小麦的净能(NE)值,并基于小麦的化学成分建立NE预测方程。根据容重从中国主要小麦产区选取了40个小麦样本。总共460只1周龄的鸭子(初始体重(BW):134.86±3.32克)被随机分配到46种日粮中,包括基础日粮、5种限饲日粮和40种试验日粮。每种日粮包含五个重复,每个重复有两只鸭子。基础日粮为玉米-豆粕型,40种试验日粮是通过将基础日粮与20%的小麦混合配制而成。利用小麦样本的化学成分建立了NE浓度预测方程。结果表明,40个小麦样本的NE和表观代谢能(AME)含量分别在6.81至9.12兆焦/千克和11.03至14.34兆焦/千克之间。乙醚提取物(EE)、中性洗涤纤维(NDF)、酸性洗涤纤维(ADF)和AME与NE值高度相关(<0.01),其中AME与NE的相关性最强(r=0.884)。化学特性可用于准确预测NE值,通过纳入AME可增强预测方程。最佳拟合方程如下:NE = 0.380 AME - 0.147 NDF - 0.274 ADF + 5.262(R = 0.874,RSD = 0.19,<0.001)。综上所述,生长鸭对小麦的NE值为每千克8.49±0.30兆焦,小麦的化学成分可用于准确预测其NE值。