建立了生长猪区域来源发酵豆粕的净能量和标准化回肠可消化氨基酸预测模型。

IF 2.5 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Wenjun Gao, Qile Hu, Yingying Li, Hongrui Cao, Xue Bao, Renjie Wang, Shuai Zhang
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引用次数: 0

摘要

目的:测定发酵豆粕(FSBM)中氨基酸(AA)的有效能和标准化回肠消化率(SID),并建立生长猪的预测方程。方法:在试验1中,选取24头初始体重为35.3±3.2 kg的生长母猪,随机分为2个重复的6 × 6拉丁方设计,每个拉丁方设计包括1个以玉米为基础的饲粮(在两个正方形中使用)和5个试验饲粮。在AA消化率试验2中,选取22头初始体重为48.8±2.8 kg的生长犊牛进行远端回肠t型插管,采用1种无氮饲粮和10种试验饲粮的3期交叉设计。试验1和试验2试验饲粮中FSBM的添加水平分别为27.49%和40%。结果:粗纤维(CF)、中性洗涤纤维(NDF)和酸性洗涤纤维(ADF)的FSBM变异系数均超过10%。FSBM的消化能、代谢能和净能值分别为15.50 ~ 18.44 MJ/kg干物质、13.98 ~ 16.72 MJ/kg干物质和10.10 ~ 11.05 MJ/kg干物质。结论:FSBM的NE值在10.10 ~ 11.05 MJ/kg DM之间,根据营养参数可以很好地预测FSBM的NE值、SIDCrude Protein和SIDLys。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction models established for net energy and standardized ileal digestible amino acids in regionally sourced fermented soybean meal for growing pigs.

Objective: The study was conducted to determine the available energy and standardized ileal digestibility (SID) of amino acid (AA) in fermented soybean meal (FSBM), and establish prediction equations for growing pigs.

Methods: In Exp. 1 to determine available energy, twenty-four growing barrows (initial body weight = 35.3 ± 3.2 kg) were randomly assigned to two replicated 6 × 6 Latin square designs, each comprising one corn-based basal diet (used in both squares) and five test diets. In Exp. 2 on AA digestibility, twenty-two growing barrows (initial body weight: 48.8 ± 2.8 kg) underwent distal ileal T-cannulation and were arranged to a 3-period crossover design with one nitrogen-free diet and 10 test diets. The inclusion levels of FSBM in the test diets of Exp. 1 and Exp. 2 were 27.49% and 40%, respectively.

Results: The coefficients of variation among FSBM for ether extract (EE), crude fiber (CF), neutral detergent fiber (NDF), and acid detergent fiber (ADF) all exceeded 10%. The digestible energy, metabolizable energy, and net energy (NE) values of FSBM ranged from 15.50 to 18.44 MJ/kg dry matter (DM), 13.98 to 16.72 MJ/kg DM, and 10.10 to 11.05 MJ/kg DM, respectively. The SID values of AA demonstrated variation (p<0.05) for most AA, with the exception of Arg and Lys among indispensable AA, and Glu, Ser, and Tyr among dispensable AA. The best-fitted prediction equation for NE was a model incorporating EE, NDF, and GE (R² = 0.92, p<0.01), while the best-fitted equations for SIDCrude Protein and SIDLys incorporated DM, NDF, and ADF (R² = 0.71, p = 0.097) and CF, ADF, and Ash (R² = 0.83, p = 0.022), respectively.

Conclusion: The NE values of FSBM ranged from 10.10 to 11.05 MJ/kg DM. The NE value, SIDCrude Protein, and SIDLys of FSBM can be well predicted based on nutritional parameters.

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来源期刊
Animal Bioscience
Animal Bioscience AGRICULTURE, DAIRY & ANIMAL SCIENCE-
CiteScore
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