数字农科院2.0

Impact of chemical composition on metabolizable energy and its prediction models in brewer's spent grains for broilers at different ages

文献类型： 外文期刊

作者： Mingqiang Song;Kai Tian;Cong Ren;Youyou Liu;Xiaomeng Ye;Yuming Wang;Jingjing Xie;Feng Zhao

作者机构：

关键词： Brewer's spent grains;Broilers;Metabolizable energy;Prediction model

期刊名称： Poultry Science

ISSN： 0032-5791

年卷期： 2025 年 104 卷 8 期

页码：

收录情况： SCIE（2025版）

摘要： This study aimed to investigate the relationship between chemical composition and metabolizable energy (ME) in brewer's spent grains (BSG), and to develop ME prediction models for fast-growing white feathered broilers at different ages. Broilers aged 11 to 14 days or 25 to 28 days were fed 11 experimental diets (one basal diet and 10 diets supplemented with BSG) in a 2 × 11 completely randomized factorial arrangement. Each experimental diet was assigned to 6 replicates of 4 broilers, either 11 to 14 days or 25 to 28 days of age. The total excreta collection method was employed to determine the ME of the experimental diet for the calculation of the ME of BSG. Correlations between the chemical composition and ME of BSG were analyzed, and stepwise regression models for apparent metabolizable energy (AME) and nitrogen-corrected AME (AMEn) were established for broilers aged 11 to 14 days and 25 to 28 days. Substantial variations in crude protein (CP; 18.63% to 38.94%, CV=27.0%) and crude fiber (CF; 11.97% to 32.15%, CV=31.2%) contributed to a wide range of ME values (667 to 3392 kcal/kg DM) across the 10 sources of BSG. Principal component analysis of the chemical composition clearly showed substantial variability in the quality of the BSG samples, as reflected by the dispersed scores of chemical components. Eight of 10 BSG samples had close ME values in broilers aged 11 to 14 days and 25 to 28 days. However, notable differences in ME were observed between these age groups for BSG samples 1 and 5 (P<0.05). The AME and AMEn of BSG were positively correlated with CP, ether extract (EE), and gross energy (GE; P<0.05), but negatively correlated with CF, ash, and acid detergent fiber (ADF) in both age groups (P<0.05). For broilers aged 11 to 14 days, the AME and AMEn of BSG were best predicted by CP and EE contents (R2≥0.902, RMSE≤292.9 kcal/kg DM, P<0.01). For broilers aged 25 to 28 days, the AME and AMEn of BSG were best predicted by GE and EE contents (R2≥0.926, RMSE≤217.7 kcal/kg DM, P<0.01). This study developed robust, age-specific prediction equations for ME in broilers based on the chemical composition of BSG. Overall, ME values for BSG can be reliably predicted from its CP, EE and GE contents.

分类号：

  • 相关文献

[1]Predicting metabolizable energy of normal corn from its chemical composition in adult Pekin ducks. Zhao, F.,Zhang, H. F.,Hou, S. S.,Zhang, Z. Y.. 2008

[2]Effects of Solid-State Fermentation on the Standardized Ileal Digestibility of Amino Acids and Apparent Metabolizable Energy in Peanut Meal Fed to Broiler Chickens. Shuzhen Li,Chong Li,Si Chen,Xiaoying Wang,Jinmei Liu,Xuejuan Deng,Huiyi Cai,Guohua Liu. 2023

[3]Effects of Fermentation on the Apparent Metabolizable Energy and Standardized Ileal Digestibility of Amino Acids in Soybean Meal Fed to Broiler Chickens. Li Y.,Li S.,Li C.,Chang W.,Cai H.,Liu G.. 2023

[4]Prediction model for mercury transfer from soil to corn grain and its cross-species extrapolation. Hu Hai-yan,Li Zhao-jun,Feng Yao,Liu Yuan-wang,Xue Jian-ming,Davis, Murray,Liang Yong-Chao. 2016

[5]Development of near-infrared reflectance spectroscopy models for quantitative determination of water-soluble carbohydrate content in wheat stem and glume. Wang, Zhenghang,Liu, Xiulin,Chang, Xiaoping,Jing, Ruilian,Wang, Zhenghang,Liu, Xiulin,Li, Runzhi.

[6]Prediction models for transfer of arsenic from soil to corn grain (Zea mays L.). Yang, Hua,Li, Zhaojun,Liang, Yongchao,Yang, Hua,Long, Jian,Xue, Jianming,Davis, Murray,He, Wenxiang.

[7]Spectral Response of Maize Leaves and Prediction of Their Nitrogen Content. Chen Zhi-qiang,Wang Lei,Bai You-lu,Yang Li-ping,Lu Yan-li,Wang He,Wang Zhi-yong. 2013

[8]Hyperspectral Prediction Model for Maize Leaf SPAD in the Whole Growth Period. Chen Zhi-qiang,Wang Lei,Bai You-lu,Yang Li-ping,Lu Yan-li,Wang He,Wang Zhi-yong. 2013

[9]Predictive model for cadmium uptake by maize and rice grains on the basis of bioconcentration factor and the diffusive gradients in thin-films technique. Rui Chen,Nuo Cheng,Guoyu Ding,Fumin Ren,Jungang Lv,Rongguang Shi. 2021

[10]UAV-Based Hyperspectral and Ensemble Machine Learning for Predicting Yield in Winter Wheat. Zongpeng Li,Zhen Chen,Qian Cheng,Fuyi Duan,Ruixiu Sui,Xiuqiao Huang,Honggang Xu. 2022

[11]Mercury fractionation, bioavailability, and the major factors predicting its transfer and accumulation in soil–wheat systems. Sajjad Hussain,Jianjun Yang,Jamshad Hussain,Abdul Sattar,Subhan Ullah,Imran Hussain,Shafeeq Ur Rahman,Peiman Zandi,Xing Xia,Liandong Zhang. 2022

[12]Potassium and Magnesium in American Ginseng Roots as Key Factors in Monitoring Soil Quality, Yield, and Quality: Screening, Prediction, and Validation. Jiaqi Qian,Hai Sun,Cai Shao,Hao Liang,Weiyu Cao,Bochen Lv,Yayu Zhang. 2024

[13]Spatial and variety distributions, risk assessment, and prediction model for heavy metals in rice grains in China. Z. Cao,Meiyan Guan,Xiaoyan Lin,Wanyue Zhang,Ping Xu,Mingxue Chen,Xiaolong Zheng. 2024

[14]Prediction of pharmaceutical solubility in mixed-solvents with a local composition-quantum energy parameter model. Jia Lin Lee,Gun Hean Chong,Masaki Ota,Haixin Guo,Richard Lee Smith. 2025

[15]Determination of Standardized Ileal Amino Acid Digestibilities in Different Soybean Meals for Yellow-Feathered Chickens and Development of Prediction Models. Yuan, Qianwen,Chen, Wenpeng,Long, Jiali,Zhang, Liyang,Wang, Shengchen,Li, Tingting,Hu, Yun,Cui, Xiaoyan,Luo, Xugang. 2025

[16]Metabolizable energy and fiber digestibility of uncommon feedstuffs for geese. Zhang, S. J.,Zhu, C. H.,Guo, J.,Tang, Q. P.,Li, H. F.,Zou, J. M.. 2013

[17]Energy requirements of Dorperxthin-tailed Han crossbred ewes during non-pregnancy and lactation. Lou Can,Si Bing-wen,Ma Tao,Jiang Cheng-gang,Tu Yan,Zhang Nai-feng,Ji Shou-kun,Chen Dan-dan,Diao Qi-yu,Deng Kai-dong. 2015

[18]Energy requirements of early-weaned Dorper cross-bred female lambs. Ma, T.,Xu, G. -S.,Ji, S. -K.,Tu, Y.,Zhang, N. -F.,Diao, Q. -Y.,Xu, G. -S.,Deng, K. -D..

[19]Energy requirements of Dorper crossbred ewe lambs. Deng, K. D.,Jiang, C. G.,Tu, Y.,Zhang, N. F.,Liu, J.,Ma, T.,Zhao, Y. G.,Xu, G. S.,Diao, Q. Y.,Deng, K. D..

[20]Energy requirements for maintenance and growth of early-weaned Dorper crossbred male lambs. Xu, G. -S.,Ma, T.,Ji, S. -K.,Tu, Y.,Jiang, C. -G.,Diao, Q-Y.,Xu, G. -S.,Deng, K. -D..

作者其他论文 更多>>