Choi Hyunjun, Sung Jung Yeol, Kim Beob Gyun
Department of Animal Science and Technology, Konkuk University, Seoul 05029, Korea.
Asian-Australas J Anim Sci. 2020 Apr;33(4):615-622. doi: 10.5713/ajas.19.0103. Epub 2019 Jul 1.
The objectives were to investigate correlations between energy digestibility (digestible energy [DE]:gross energy [GE]) and various fiber types including crude fiber (CF), total dietary fiber (TDF), soluble dietary fiber (SDF), insoluble dietary fiber (IDF), neutral detergent fiber (NDF), and acid detergent fiber (ADF), and to develop prediction equations for estimating DE in feed ingredients and diets for growing pigs.
A total of 289 data with DE values and chemical composition of feeds from 39 studies were used to develop prediction equations for DE. The equations were validated using values provided by the National Research Council.
The DE values in feed ingredients ranged from 2,011 to 4,590 kcal/kg dry matter (DM) and those in diets ranged from 2,801 to 4,203 kcal/kg DM. In feed ingredients, DE:GE was negatively correlated (p<0.001) with NDF (r = -0.84), IDF (r = -0.83), TDF (r = -0.82), ADF (r = -0.78), and CF (r = -0.72). A best-fitting model for DE (kcal/kg) in feed ingredients was: 1,356 + (0.704 × GE, kcal/kg) - (60.3 × ash, %) - (27.7 × NDF, %) with R2 = 0.80 and p<0.001. In diets, DE:GE was negatively correlated (p<0.01) with NDF (r = -0.72), IDF (r = -0.61), TDF (r = -0.52), CF (r = -0.45), and ADF (r = -0.34). A best-fitting model for DE (kcal/kg) in diets was: 1,551 + (0.606 × GE, kcal/kg) - (22.1 × ash, %) - (25.6 × NDF, %) with R2 = 0.62 and p<0.001. All variables are expressed as DM basis. The equation developed for DE in feed ingredients had greater accuracy than a published equation for DE.
All fiber types are reasonably good independent variables for predicting DE of swine feeds. The best-fitting model for predicting DE of feeds employed neutral detergent fiber as an independent variable.
研究能量消化率(消化能[DE]:总能[GE])与各种纤维类型之间的相关性,这些纤维类型包括粗纤维(CF)、总膳食纤维(TDF)、可溶性膳食纤维(SDF)、不溶性膳食纤维(IDF)、中性洗涤纤维(NDF)和酸性洗涤纤维(ADF),并建立预测生长猪饲料原料和日粮中DE的预测方程。
使用来自39项研究的289个具有DE值和饲料化学成分的数据来建立DE的预测方程。这些方程使用美国国家研究委员会提供的值进行验证。
饲料原料中的DE值范围为每千克干物质(DM)2011至4590千卡,日粮中的DE值范围为每千克DM 2801至4203千卡。在饲料原料中,DE:GE与NDF(r = -0.84)、IDF(r = -0.83)、TDF(r = -0.82)、ADF(r = -0.78)和CF(r = -0.72)呈负相关(p<0.001)。饲料原料中DE(千卡/千克)的最佳拟合模型为:1356 +(0.704×GE,千卡/千克)-(60.3×灰分,%)-(27.7×NDF,%),R2 = 0.80,p<0.001。在日粮中,DE:GE与NDF(r = -0.72)、IDF(r = -0.61)、TDF(r = -0.52)、CF(r = -0.45)和ADF(r = -0.34)呈负相关(p<0.01)。日粮中DE(千卡/千克)的最佳拟合模型为:1551 +(0.606×GE,千卡/千克)-(22.1×灰分,%)-(25.6×NDF,%),R2 = 0.62,p<0.001。所有变量均以DM为基础表示。为饲料原料中的DE建立的方程比已发表的DE方程具有更高的准确性。
所有纤维类型都是预测猪饲料DE的合理良好自变量。预测饲料DE的最佳拟合模型采用中性洗涤纤维作为自变量。