Zhao Jinbiao, Song Xiaoming, Yang Meiyu, Zhang Ge, Liu Ling
State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Vet Sci. 2024 Dec 13;11(12):648. doi: 10.3390/vetsci11120648.
This study was conducted to develop equations to predict the digestible (DE) and metabolizable energy (ME) for growing pigs by using the chemical compositions of five corn, two wheat and six rice samples. A total of 13 castrated boars were chosen and fed 13 diets formulated with different cereal feed ingredients according to a 13 × 6 Youden square design. The DE and ME contents, the ratio of ME to DE, and the nutrient digestibility among the 13 cereal feed ingredients were different ( < 0.05), and the DE and ME ranged from 13.77 MJ/kg to 17.05 MJ/kg and 13.40 MJ/kg to 16.73 MJ/kg, respectively. The DE and ME were negatively correlated to the NDF ( < 0.10) and ADF ( < 0.05) contents among the test cereals; however, the DE and ME contents were positively correlated with the starch content. Based on the chemical analysis, the models for predicting the DE and ME in the cereal feed ingredients were DE (MJ/kg) = 0.1364 × Starch (%) - 0.2352 × ADF (%) + 11.4467 and ME (MJ/kg) = 0.9838 × DE (MJ/kg) - 0.0165 × CP (%) + 0.0538. In conclusion, the different chemical compositions of different cereal feed ingredients led to large variations in the energy concentration and digestibility of nutrients for growing pigs. The number of cereal samples needs to be further increased to improve the accuracy of the equations for predicting energy contents.
本研究旨在通过使用五个玉米、两个小麦和六个水稻样品的化学成分来建立预测生长猪可消化能量（DE）和代谢能（ME）的方程。总共选择了13头去势公猪，并根据13×6尤登方设计，用不同谷物饲料原料配制13种日粮。13种谷物饲料原料中的DE和ME含量、ME与DE的比值以及养分消化率均存在差异（P<0.05），DE和ME分别在13.77 MJ/kg至17.05 MJ/kg和13.40 MJ/kg至16.73 MJ/kg之间。在试验谷物中，DE和ME与中性洗涤纤维（NDF，P<0.10）和酸性洗涤纤维（ADF，P<0.05）含量呈负相关；然而，DE和ME含量与淀粉含量呈正相关。基于化学分析，预测谷物饲料原料中DE和ME的模型分别为：DE（MJ/kg）=0.1364×淀粉（%）-0.2352×ADF（%）+11.4467，ME（MJ/kg）=0.9838×DE（MJ/kg）-0.0165×粗蛋白（%）+0.0538。总之，不同谷物饲料原料的化学成分不同，导致生长猪的能量浓度和养分消化率差异很大。需要进一步增加谷物样品数量，以提高能量含量预测方程的准确性。
