Noblet Jean, Tay-Zar Aye-Cho, Wu Shu-Biao, Srichana Pairat, Cozannet Pierre, Geraert Pierre-André, Choct Mingan
INRAE, Rennes, France.
Charoen Pokphand Foods Public Company Limited (CPF), Bangkok, Thailand.
Anim Nutr. 2023 Dec 7;16:62-72. doi: 10.1016/j.aninu.2023.10.006. eCollection 2024 Mar.
Different energy systems have been proposed for energy evaluation of feeds for domestic animals. The oldest and most commonly used systems take into account the fecal energy loss to obtain digestible energy (DE), and fecal, urinary and fermentation gases energy losses to calculate metabolizable energy (ME). In the case of ruminants and pigs, the net energy (NE) system, which takes into account the heat increment associated with the metabolic utilization of ME, has progressively replaced the DE and ME systems over the last 50 years. For poultry, apparent ME (AME) is used exclusively and NE is not yet used widely. The present paper considers some important methodological points for measuring NE in poultry feeds and summarizes the available knowledge on NE systems for poultry. NE prediction equations based on a common analysis of three recent studies representing a total of 50 complete and balanced diets fed to broilers are proposed; these equations including the AME content and easily available chemical indicators have been validated on another set of 30 diets. The equations are applicable to both ingredients and complete diets. They rely primarily on an accurate and reliable AME value which then represents the first limiting predictor of NE value. Our analysis indicates that NE would be a better predictor of broiler performance than AME and that the hierarchy between feeds is dependent on the energy system with a higher energy value for fat and a lower energy value for protein in an NE system. Practical considerations for implementing such an NE system from the commonly used AME or AME (AME adjusted for zero nitrogen balance) systems are presented. In conclusion, there is sufficient information to allow the implementation of the NE concept in order to improve the accuracy of feed formulation in poultry.
人们提出了不同的能量系统来评估家畜饲料的能量。最古老且最常用的系统考虑粪便能量损失以获得消化能(DE),并考虑粪便、尿液和发酵气体的能量损失来计算代谢能(ME)。对于反刍动物和猪,净能(NE)系统在过去50年中逐渐取代了DE和ME系统,该系统考虑了与ME代谢利用相关的热增量。对于家禽,仅使用表观代谢能(AME),而NE尚未广泛应用。本文考虑了测量家禽饲料中NE的一些重要方法要点,并总结了有关家禽NE系统的现有知识。提出了基于对最近三项研究的共同分析得出的NE预测方程,这三项研究共涉及50种喂给肉鸡的完全平衡日粮;这些方程包括AME含量和易于获得的化学指标,并已在另一组30种日粮上得到验证。这些方程适用于饲料原料和全价日粮。它们主要依赖于准确可靠的AME值,该值是NE值的首要限制预测指标。我们的分析表明,NE比AME更能预测肉鸡的生长性能,并且饲料之间的等级关系取决于能量系统,在NE系统中脂肪的能量值较高,蛋白质的能量值较低。本文还介绍了从常用的AME或零氮平衡调整后的AME系统实施此类NE系统的实际考虑因素。总之,有足够的信息允许实施NE概念,以提高家禽饲料配方的准确性。