数字农科院2.0

Anti-Nutritional Factors and Protein Dispersibility Index as Principal Quality Indicators for Soybean Meal in Diet of Nile Tilapia (Oreochromis niloticus GIFT), a Meta-Analysis

文献类型: 外文期刊

作者: Ma, Shifeng;Wang, Hao;Dou, Yulong;Liang, Xiaofang;Zheng, Yinhua;Wu, Xiufeng;Xue, Min

作者机构:

关键词: partial least-squares regression;soybean meal;physicochemical properties;growth;digestibility;Oreochromis niloticus GIFT

期刊名称: ANIMALS

ISSN: 2076-2615

年卷期: 2022 年 12.0 卷 14 期

页码:

收录情况: SCIE(2022版)

摘要: Simple Summary Soybean meal is an effective protein source in aquafeeds and is characterized by high protein content, high digestibility, reasonable price, and stable supply. The quality of soybean meal varies with factors such as seed genotype, soil type, planting area, processing conditions, storage conditions, etc. Differences in soybean meal quality may lead to differences in the production performances of animals. For this reason, we investigated the nutrient composition, anti-nutritional factors and physicochemical properties of different soybean meals produced on the same production line with soybeans from different origins, and compared the effects of different soybean meals on the physiological characteristics of Nile tilapia (Oreochromis niloticus GIFT). This study identified key indicators that could distinguish the quality of soybean meals, and established a correlation model between quality indicators of soybean meal and the growth performance of Nile tilapia. These results are of great significance for evaluating the quality of soybean meals and promoting the efficient application of soybean meal in aquafeeds. Soybean meal (SBM) is the most important plant protein source in animal feed. This study investigated the characteristics of different SBMs, produced by soybeans from America and Brazil (SBM-A and SBM-B) in 2017-2021 under the same controlled conditions. The effects of different SBMs on the growth performance of Nile tilapia (Oreochromis niloticus, GIFT) and apparent digestibility coefficients (ADCs) of nutrients and energy were studied. The results showed that protein dispersibility index (PDI), urease activity (UA), glycinin and fiber were the four primary key indicators for distinguishing the characteristics of the tested SBMs. The meta-analysis results suggested that UA, glycinin, and fiber showed a negative effect on the survival rate (SR) and weight gain rate (WGR) of the Nile tilapia, whereas beta-conglycinin, PDI, and nitrogen solubility index (NSI) had a positive effect on the SR and WGR of the fish. The ADCs of dry matter, the gross energy, phosphorus, crude protein, valine (Val), lysine (Lys), histidine (His), serine (Ser), and glutamate (Glu) of the Diet-A group (SBM-A inclusion) were significantly higher than those in the Diet-B group (SBM-B inclusion) (p < 0.05). However, no significant difference was found in ADCs of macro-nutrients between the two SBMs (p > 0.05). Overall, PDI, UA, glycinin, and fiber were the main indicators reflecting the characteristics of the tested SBMs, and UA, glycinin, beta-conglycinin, and PDI had the greatest impact on the growth performance of Nile tilapia in this study. PDI was a more sensitive indicator than NSI for representing the protein quality of SBM.

分类号:

  • 相关文献

[1]Effects of starch multiscale structure on the physicochemical properties and digestibility of Radix Cynanchi bungei starch. Changyue Deng,Baixue Wang,Yongqing Jin,Yiyang Yu,Yingying Zhang,Sanxu Shi,Yifan Wang,Mingming Zheng,Zhenyu Yu,Yibin Zhou. 2023

[2]Growth, nutrient utilization and amino acid digestibility of dairy calves. fed milk replacers containing different amounts of protein in the preruminant period. Li, H.,Diao, Q. Y.,Zhang, N. F.,Fan, Z. Y.. 2008

[3]Apparent digestibility coefficient of poultry by-product meal (PBM) in diets of Penaeus monodon (Fabricius) and Litopenaeus vannamei (Boone), and replacement of fishmeal with PBM in diets of P. monodon. Wang, Jia,Xue, Min,Wu, Xiufeng,Pan, Qing,Wang, Yanjun,Li, Peng,Luo, Lin. 2012

[4]Estimating Soil Organic Matter (SOM) Using Proximal Remote Sensing: Performance Evaluation of Prediction Models Adjusted at Local Scale in the Brazilian Cerrado. Everson Cezar,Tatiane Amancio Alberton,Evandro Freire Lemos,Karym Mayara de Oliveira,Liang Sun,Luís Guilherme Teixeira Crusiol,Marlon Rodrigues,Amanda Silveira Reis,Marcos Rafael Nanni. 2023

[5]Estimation of standardized phosphorus retention for corn, soybean meal, and corn-soybean meal diet in broilers. Liu, S. B.,Li, S. F.,Lu, L.,Xie, J. J.,Zhang, L. Y.,Luo, X. G.,Li, S. F.. 2012

[6]Thermal transition and decomposition properties of pH- and phosphate-induced defatted soybean meals. Zhang, Jinchuang,Wei, Yimin,Zhang, Bo,Su, Xiaofang,Ying, Danyang,Li, Shujing.

[7]A feasibility study of non-targeted adulterant screening based on NIRM spectral library of soybean meal to guarantee quality: The example of non-protein nitrogen. Shen, Guanghui,Yang, Zengling,Han, Lujia,Fan, Xia.

[8]Development of a procedure to determine standardized mineral availabilities in soybean meal for broiler chicks. Liu, Songbai,Li, Sufen,Lu, Lin,Xie, Jingjing,Zhang, Liyang,Jiang, Yong,Luo, Xugang,Li, Sufen.

[9]Apparent metabolizable and net energy values of corn and soybean meal for broiler breeding cocks. Liu, W.,Liu, G. H.,Liao, R. B.,Chang, Y. L.,Huang, X. Y.,Wu, Y. B.,Yan, H. J.,Cai, H. Y.,Yang, H. M..

[10]Determination of Melamine in Soybean Meal by Near-Infrared Imaging and Chemometrics. Li, Qingbo,Kang, Xue,Shi, Dongdong,Liu, Qingsheng.

[11]Quantitative determination of soybean meal content in compound feeds: comparison of near-infrared spectroscopy and real-time PCR. Li, Hui,Lv, Xiaowen,Wang, Jing,Li, Junguo,Yang, Haifeng,Qin, Yuchang.

[12]Thermal Transition And Decomposition Properties O.f Ph- And Phosphate-Induced D efatted Soybean Meals. Zhang, JC, Ying, DY, Wei, YM, Zhang, B, Su, XF, Li, SJ. 2017

[13]Effects of a Phytogenic Supplement Containing Olive By-Product and Green Tea Extracts on Growth Performance, Lipid Metabolism, and Hepatic Antioxidant Capacity in Largemouth Bass (Micropterus salmoides) Fed a High Soybean Meal Diet. Liu J.,Xue M.,Morais S.,He M.,Wang H.,Wang J.,Pastor J.J.,Gonçalves R.A.,Liang X.. 2022

[14]Comparison of amino acid digestibility of soybean meal, cottonseed meal, and low-gossypol cottonseed meal between broilers and laying hens. Qiu, Kai,Wang, Xiao-cui,Wang, Jing,Wang, Hao,Qi, Guang-hai,Zhang, Hai-jun,Wu, Shu-geng. 2023

[15]Effects Of Soybean Isoflavones On The Growth Performance, Intestinal Morphology And Antioxidative Properties In Pigs. Li, YP, Jiang, XR, Wei, ZX, Cai, L, Yin, JD, Li, XL. 2020

[16]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

[17]Effects of bee artificial diets on the composition of royal jelly: Chemical characterization and marker identification by untargeted and targeted metabolomic approaches. Hongfei Li,Rifat Nowshin Raka,Han Hu,Wen Zhao,Jinzhen Zhang,Lin Zhang,Rui Chen,Xiaofeng Xue,Yue Jin. 2025

[18]Metabolizable and net energy evaluation of corn, soybean meal, and wheat bran in growing male pheasants. Weili Sun,Yao Wu,Lili Xu,Keyuan Liu,Lihong Chen,Guangyu Li. 2025

[19]Determination and prediction of the apparent and standardized ileal amino acid digestibility in soybean meal fed to the pullets. Cao, Sumei,Yang, Yuxin,Ma, Guangtian,Wang, Jing,Qiu, Kai,Song, Zhigang,Wu, Shugeng,Qi, Guanghai,Zhang, Haijun. 2025

[20]Effects of Rhodobacter sphaeroides protein on growth performance, nutrient digestibility, rumen fermentation, and serum metabolites in dairy calves during the pre- and postweaning periods. Mahmoud M. Abdelsattar,Minchao Su,Lingyun Kang,Dong Chen,Naifeng Zhang,Yan Tu,Qiyu Diao,Wenzhang Zhou,Yu Hou,Yanliang Bi. 2025

作者其他论文 更多>>