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通过化学分析预测生长鸭日粮中小麦的净能值

Prediction of the Net Energy of Wheat from Chemical Analysis for Growing Ducks.

作者信息

Liang Yanru, Hou Qinteng, Yu Mengchao, Chang Yaqi, Zhao Hua, Liu Guangmang, Chen Xiaoling, Tian Gang, Cai Jingyi, Jia Gang

机构信息

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.

出版信息

Animals (Basel). 2023 Mar 20;13(6):1097. doi: 10.3390/ani13061097.

Abstract

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.

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f8f/10044603/c4f1b0edae07/animals-13-01097-g001.jpg

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