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A comparison of the prediction of apparent metabolisable energy content of starchy grains and cereal by-products for poultry from its chemical components, in vitro analysis or near-infrared reflectance spectroscopy

机译:从家禽的淀粉成分和谷物副产品的化学成分,体外分析或近红外反射光谱预测表观可代谢能量含量的比较

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摘要

Regression models including chemical composition, in vitro digestibility and near infrared reflectance spectroscopy (NIRS) were compared in order to predict the energy value of several feed ingredients for poultry. The nitrogen-corrected apparent metabolisable energy content (AMEn) in cockerels and its proportion on total gross energy (AMEn/GE) were determined in 94 batches from six starchy grains and six cereal byproducts. Two preliminary trials were also designed to adapt in vitro methods for prediction of in vivo energy values for poultry. Mean concentrations of AMEn of the ingredient studied ranged from 2,464 to 3,595 kcal kg -1 DM, and those of AMEn/GE from 53.7 to 80.0%. The most precise model of prediction of AMEn and AMEn/GE values was that based on NIRS equations (R2 cv = 0.823 and 0.861, respectively). The best single chemical predictor of these energy values was the neutral detergent fibre concentration (R2 = 0.616 and 0.736, respectively). Further inclusion of ether extract and ash contents in the AMEn model and those of starch and ether extract in the AMEn/GE model allowed increasing coefficients of determination up to 0.791 and 0.839, respectively. A model including linear and quadratic effects of in vitro organic matter digestibility (IVOMd) provided a similar prediction of AMEn/GE values (R2 = 0.833). However the prediction of AMEn from IVOMd was worse (R2 = 0.62), as variations among batches of GE concentration (from 4,225 to 5,896 kcal kg –1 DM) were little related to in vitro digestibility values.
机译:比较了包括化学成分,体外消化率和近红外反射光谱(NIRS)在内的回归模型,以预测家禽几种饲料成分的能量值。在94个批次中,从六个淀粉类谷物和六个谷物副产品中测定了公鸡中经过氮校正的表观可代谢能量含量(AMEn)及其在总总能量中的比例(AMEn / GE)。还设计了两项初步试验,以适应体外方法对家禽体内能量值的预测。研究成分的AMEn平均浓度范围为2,464至3,595 kcal kg -1 DM,AMEn / GE的平均浓度范围为53.7至80.0%。预测AMEn和AMEn / GE值的最精确模型是基于NIRS方程的模型(分别为R2 cv = 0.823和0.861)。这些能量值的最佳单一化学预测因子是中性洗涤剂纤维浓度(分别为R2 = 0.616和0.736)。在AMEn模型中进一步包含醚提取物和灰分含量,在AMEn / GE模型中进一步包含淀粉和醚提取物,使得测定系数分别增加到0.791和0.839。包含体外有机物消化率(IVOMd)的线性和二次效应的模型提供了类似的AMEn / GE值预测(R2 = 0.833)。但是,IVOMd对AMEn的预测更差(R2 = 0.62),因为各批GE浓度(从4,225至5,896 kcal kg –1 DM)之间的变化与体外消化率值几乎没有关系。

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