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基于化学成分对生长猪大麦可消化能量和代谢能含量的测定与预测。

Determination and prediction of the digestible and metabolisable energy content of barley for growing pigs based on chemical composition.

作者信息

Wang Hongliang, Shi Meng, Xu Xiao, Pan Long, Ma Xiaokang, Li Ping, Piao Xiangshu

机构信息

a State Key Laboratory of Animal Nutrition, Ministry of Agriculture Feed Industry Centre , China Agricultural University , Beijing , China.

出版信息

Arch Anim Nutr. 2017 Apr;71(2):108-119. doi: 10.1080/1745039X.2017.1279717.

Abstract

This experiment was conducted to define the sources of variation determining the energy content of barley and to develop a practical method to predict the digestible energy (DE) and metabolisable energy (ME) content of individual barley samples. The 19 barley samples used in this study were diverse varieties grown in different regions. The feeding experiment used 57 barrows (initial body weight 31.5 ± 3.2 kg) and was conducted over two consecutive periods (n = 6 per treatment) using a completely randomised design. During each period, the pigs were placed in metabolic crates for a 5-d total collection of faeces and urine following a 10-d adaptation to the diets. Among the barley samples, on dry matter (DM) basis the levels of neutral detergent fibre, acid detergent fibre (ADF), crude protein and starch ranged from 16.1% to 38.9%, 3.9% to 9.6%, 10.1% to 16.8% and 43.5% to 57.9%, respectively. The mean determined DE and ME contents amounted to 14.7 and 14.4 MJ/kg DM and varied among the samples by 1.85 MJ (13.6%) and 1.78 MJ (13.3%), respectively. The ADF fraction accounted for 73% and 76% of the total variation in the DE and ME content, respectively. It revealed that for prediction of the DE and ME contents in barley, equations had the best fit when the analysed contents of ADF, neutral detergent fibre and gross energy were used for calculation (R = 0.92). On the basis of the developed equations, the DE and ME contents of barley of different origin can be predicted with an acceptable accuracy when used as feed for growing pigs.

摘要

本试验旨在确定决定大麦能量含量的变异来源,并开发一种实用方法来预测单个大麦样品的消化能(DE)和代谢能(ME)含量。本研究中使用的19个大麦样品为在不同地区种植的不同品种。饲养试验使用了57头公猪(初始体重31.5±3.2千克),采用完全随机设计,连续进行两个阶段(每个处理n = 6)。在每个阶段,猪在适应日粮10天后,被放入代谢笼中进行为期5天的粪便和尿液总收集。在大麦样品中,以干物质(DM)为基础,中性洗涤纤维、酸性洗涤纤维(ADF)、粗蛋白和淀粉的含量分别为16.1%至38.9%、3.9%至9.6%、10.1%至16.8%和43.5%至57.9%。测定的DE和ME含量平均值分别为14.7和14.4 MJ/kg DM,样品间差异分别为1.85 MJ(13.6%)和1.78 MJ(13.3%)。ADF部分分别占DE和ME含量总变异的73%和76%。结果表明,对于预测大麦中的DE和ME含量,当使用分析得到的ADF、中性洗涤纤维和总能含量进行计算时,方程拟合效果最佳(R = 0.92)。基于所建立的方程,当用作生长猪的饲料时,不同来源大麦的DE和ME含量可以以可接受的准确度进行预测。

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