Son Ah Reum, Park Chan Sol, Kim Beob Gyun
Department of Animal Science and Technology, Konkuk University, Seoul 05029, Korea.
Monogastric Animal Feed Research Institute, Konkuk University, Seoul 05029, Korea.
Asian-Australas J Anim Sci. 2017 Apr;30(4):546-553. doi: 10.5713/ajas.16.0607. Epub 2016 Nov 17.
An experiment was conducted to determine digestible energy (DE) and metabolizable energy (ME) of different byproduct feed ingredients fed to growing pigs, and to generate prediction equations for the DE and ME in feed ingredients.
Twelve barrows with an initial mean body weight of 31.8 kg were individually housed in metabolism crates that were equipped with a feeder and a nipple drinker. A 12×10 incomplete Latin square design was employed with 12 dietary treatments, 10 periods, and 12 animals. A basal diet was prepared to mainly contain the corn and soybean meal (SBM). Eleven additional diets were formulated to contain 30% of each test ingredient. All diets contained the same proportion of corn:SBM ratio at 4.14:1. The difference procedure was used to calculate the DE and ME in experimental ingredients. The dry matter disappearance for each test ingredient was determined.
The DE and ME values in the SBM sources were greater (p<0.05) than those in other ingredients except high-protein distillers dried grains. However, DE and ME values in tapioca distillers dried grains (TDDG) were the lowest (p<0.05). The most suitable regression equations for the DE and ME concentrations (kcal/kg on the dry matter [DM] basis) in the test ingredients were: DE = 5,528-(156×ash)-(32.4×neutral detergent fiber [NDF]) with root mean square error = 232, R = 0.958, and p<0.001; ME = 5,243-(153 ash)-(30.7×NDF) with root mean square error = 277, R = 0.936, and p<0.001. All independent variables are in % on the DM basis.
The energy concentrations were greater in the SBM sources and were the least in the TDDG. The ash and NDF concentrations can be used to estimate the energy concentrations in the byproducts from oil-extraction and distillation processes.
进行一项实验以确定饲喂生长猪的不同副产品饲料原料的消化能（DE）和代谢能（ME），并生成饲料原料中DE和ME的预测方程。
选取12头初始平均体重为31.8千克的公猪，分别饲养在配备有喂食器和乳头饮水器的代谢笼中。采用12×10不完全拉丁方设计，有12种日粮处理、10个周期和12头动物。制备一种基础日粮，主要包含玉米和豆粕（SBM）。另外配制11种日粮，每种日粮含有30%的每种测试原料。所有日粮中玉米与豆粕的比例相同，为4.14:1。采用差值法计算实验原料中的DE和ME。测定每种测试原料的干物质消失量。
除高蛋白干酒糟外，豆粕来源的DE和ME值高于（p<0.05）其他原料。然而，木薯干酒糟（TDDG）中的DE和ME值最低（p<0.05）。测试原料中DE和ME浓度（基于干物质[DM]的千卡/千克）的最合适回归方程为：DE = 5528 -（156×灰分）-（32.4×中性洗涤纤维[NDF]），均方根误差 = 232，R = 0.958，p<0.001；ME = 5243 -（153×灰分）-（30.7×NDF），均方根误差 = 277，R = 0.936，p<0.001。所有自变量均以基于DM的百分比表示。
豆粕来源的能量浓度较高，木薯干酒糟中的能量浓度最低。灰分和NDF浓度可用于估算油脂提取和蒸馏过程副产品中的能量浓度。
