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An automatically progressed computer-controlled simulated digestion system to predict digestible and metabolizable energy of unconventional plant protein meals for growing pigs
Animal Nutrition ( IF 6.3 ) Pub Date : 2022-04-26 , DOI: 10.1016/j.aninu.2022.02.004
Zhongyuan Du 1 , Yuming Wang 1 , Mingqiang Song 1 , Shuli Zeng 1 , Lixiang Gao 2 , Jiangtao Zhao 2 , Feng Zhao 1
Affiliation  

The objective of this experiment was to develop a new computer-controlled simulated digestion system to predict the digestible energy (DE) and metabolizable energy (ME) of unconventional plant protein meals for growing pigs. Nine meals tested included 1 source of rapeseed meal, 4 sources of cottonseed meal, 2 sources of sunflower meal, and 2 sources of peanut meal. Twenty growing pigs (Duroc × [Landrace × Large White]) with an initial body weight (BW) of 41.7 ± 2.6 kg were allotted to a replicated 10 × 3 incomplete Latin square design to determine the DE and ME of 1 basal diet and 9 experimental diets formulated with 9 unconventional plant protein meals. The DE and ME values of unconventional plant protein meals were calculated by the difference method. The in vitro digestible energy (IVDE) of 1 basal diet, 9 experimental diets, and 9 unconventional plant protein meals were determined with 5 replicates of each sample in a complete randomized arrangement. The IVDE/DE or IVDE/ME ranged from 0.96 to 0.98 or 1.00 to 1.01, and the correlation coefficient between IVDE and DE or ME was 0.97 or 0.98 in 10 experimental diets. Accordingly, the IVDE/DE or IVDE/ME ranged from 0.86 to 1.05 or 0.96 to 1.20, and the correlation coefficient between IVDE and DE or ME was 0.92 or 0.91 in 9 unconventional plant protein meals. The coefficient of variation (CV) of IVDE was less than that of DE and ME in the experimental diets (0.43%, 0.80%, and 0.97% for CV of IVDE, DE and ME, respectively) and unconventional plant protein meals (0.92%, 4.84%, and 6.33% for CV of IVDE, DE and ME, respectively). The regression equations to predict DE from IVDE in 10 experimental diets and 9 unconventional plant protein meals were DE = 0.8851 × IVDE +539 (R2 = 0.9411, residual standard deviation [RSD] = 23 kcal/kg DM, P < 0.01) and DE = 0.9880 × IVDE + 166 (R2 = 0.8428, RSD = 182 kcal/kg DM, P < 0.01), respectively. There was no statistical difference in the slopes (P = 0.82) or intercepts (P = 1.00) of these 2 equations. Thus, 10 diets and 9 unconventional plant protein meals were pooled to establish the regression equation of DE on IVDE as: DE = 0.9813 × IVDE +187 (R2 = 0.9120, RSD = 118 kcal/kg DM, P < 0.01). The regression equations to predict ME from IVDE in 10 experimental diets and 9 unconventional plant protein meals were ME = 0.9559 × IVDE +146 (R2 = 0.9697, RSD = 18 kcal/kg DM, P < 0.01) and ME = 0.9388 × IVDE + 3 (R2 = 0.8282, RSD = 182 kcal/kg DM, P < 0.01), respectively. There was no statistical difference in slopes (P = 0.97) but significant difference between the intercepts (P = 0.02) of these 2 equations. Our results indicate IVDE has similar response to the DE but different response to the ME in 10 experimental diets and 9 unconventional plant protein meals. Therefore, IVDE is more suitable to predict DE than ME of diets and unconventional plant protein meals for growing pigs.



中文翻译:

一种自动进步的计算机控制模拟消化系统,用于预测生长猪的非常规植物蛋白粉的可消化和代谢能量

本实验的目的是开发一种新的计算机控制模拟消化系统来预测生长猪的非常规植物蛋白粉的消化能 (DE) 和代谢能 (ME)。测试的 9 种膳食包括 1 种菜籽粕来源、4 种棉籽粕来源、2 种葵花粕来源和 2 种花生粕来源。将 20 头初始体重 (BW) 为 41.7 ± 2.6 kg 的生长猪 (Duroc × [Landrace × Large White]) 分配到重复的 10 × 3 不完全拉丁方设计,以确定 1 种基础日粮和 9 种日粮的 DE 和 ME用 9 种非常规植物蛋白餐配制的实验性饮食。非常规植物蛋白粉的DE值和ME值采用差分法计算。1种基础日粮、9种实验日粮的体外消化能(IVDE),9 种非常规植物蛋白粉以完全随机排列的方式对每个样品进行 5 次重复测定。10个试验日粮的IVDE/DE或IVDE/ME范围为0.96~0.98或1.00~1.01,IVDE与DE或ME的相关系数分别为0.97或0.98。因此,9种非常规植物蛋白餐的IVDE/DE或IVDE/ME范围为0.86至1.05或0.96至1.20,IVDE与DE或ME之间的相关系数为0.92或0.91。在试验日粮(IVDE、DE 和 ME 的 CV 分别为 0.43%、0.80% 和 0.97%)和非常规植物蛋白膳食(0.92%)中,IVDE 的变异系数 (CV) 小于 DE 和 ME 、IVDE、DE 和 ME 的 CV 分别为 4.84% 和 6.33%)。R 2  = 0.9411,残差标准差 [RSD] = 23 kcal/kg DM,P  < 0.01) 和 DE = 0.9880 × IVDE + 166 ( R 2  = 0.8428,RSD = 182 kcal/kg DM,P  < 0.01) .  这两个方程的斜率( P  = 0.82)或截距(P = 1.00)没有统计学差异。因此,将 10 种日粮和 9 种非常规植物蛋白餐合并,建立 DE 对 IVDE 的回归方程为:DE = 0.9813 × IVDE +187(R 2  = 0.9120,RSD = 118 kcal/kg DM,P  < 0.01)。在 10 种实验日粮和 9 种非常规植物蛋白膳食中,从 IVDE 预测 ME 的回归方程为 ME = 0.9559 × IVDE +146(R 2  = 0.9697, RSD = 18 kcal/kg DM, P  < 0.01) 和 ME = 0.9388 × IVDE + 3 ( R 2  = 0.8282, RSD = 182 kcal/kg DM, P  < 0.01)。这两个方程的斜率没有统计学差异(P  = 0.97),但截距之间存在显着差异(P  = 0.02)。我们的结果表明,IVDE 对 DE 的反应相似,但在 10 种实验饮食和 9 种非常规植物蛋白餐中对 ME 的反应不同。因此,IVDE 比 ME 更适合预测生长猪日粮和非常规植物蛋白粉的 DE。

更新日期:2022-04-26
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