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

Author:

Liang Yanru12,Hou Qinteng12,Yu Mengchao12,Chang Yaqi12,Zhao Hua12,Liu Guangmang12ORCID,Chen Xiaoling12,Tian Gang12,Cai Jingyi12,Jia Gang12

Affiliation:

1. Institute of Animal Nutrition, Key Laboratory of Animal Disease-Resistance Nutrition Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China

2. Key Laboratory of Animal Disease-Resistant Nutrition and Feed, Ministry of Agriculture and Rural Affairs, Chengdu 611130, China

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 (p < 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 (R2 = 0.874, RSD = 0.19, p < 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.

Funder

Sichuan Longda Animal Husbandry Science and Technology Co., Ltd.

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

Reference31 articles.

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