Suppr超能文献

鸡饲料中能量效率和净能量预测。

Energy efficiency and net energy prediction of feed in laying hens.

机构信息

School of Environmental and Rural Science, University of New England, Armidale NSW 2351, Australia.

INRA, UMR1348 Pegase, F-35590 Saint Gilles, France.

出版信息

Poult Sci. 2019 Nov 1;98(11):5746-5758. doi: 10.3382/ps/pez362.

Abstract

Using accurate nutrient values for ingredients is of vital importance for efficient diet formulation. The net energy (NE) system accounts for the real available amount of feedstuff energy for body maintenance and production as it considers energy dissipated as heat increment. The NE content of diets for pigs and broilers has been estimated from their nutrient contents. However, such estimates have not been made specifically for laying hens. This study reports the development of equations to predict NE for laying hens based on the chemical composition of 16 different diets meeting minimum nutrient specifications but varying in nutrient composition. Heat production and energy metabolism were measured in layers ranging from 32 to 62 weeks of age in closed-circuit calorimetry chambers with 8 replicates per diet in a randomized design. Each replicate consisted of a chamber with 3 layers that were adapted for 4 D to diets and chambers prior to measurement. The measurements included feed intake, metabolizable energy (ME) content, nitrogen balance, egg production, gas exchange, heat production, energy efficiency, and energy partition for a 3-D period. The average AME/GE and NE/AME ratios of the 16 diets were 77 and 74%, respectively. The latter ratio increased with energy efficiency (EE) content and decreased with CP content of diets. The results indicate that diet NE content can be predicted from AME, CP, and EE contents and the NE/AME ratio varied positively with EE and negatively with CP. A validation experiment with 2 diets fed to layers in calorimetry chambers confirmed the estimation from NE prediction equations. In conclusion, NE of diets can be predicted in laying hens from equations based on AME and CP and EE contents in laying hens being similar to those reported in broilers.

摘要

使用准确的成分营养值对于高效的饮食配方至关重要。净能(NE)系统考虑到作为热量增量消耗的能量,因此可以计算出饲料的实际可用能量,这对于维持和生产动物体的能量非常重要。猪和肉鸡的日粮 NE 含量是根据其营养成分估算的。然而,对于蛋鸡,尚未专门进行这种估算。本研究报告了基于满足最低营养规格但营养成分不同的 16 种不同日粮的化学成分,开发预测蛋鸡 NE 的方程。在闭路式热量计室中,使用 8 个重复进行随机设计,对 32 至 62 周龄的蛋鸡进行了热产生和能量代谢的测量。每个重复由一个有 3 层的腔室组成,这些腔室在适应 4 天之前已经适应了饮食和腔室。测量包括采食量、可代谢能(ME)含量、氮平衡、产蛋量、气体交换、产热量、能量效率和 3 天期间的能量分配。16 种日粮的平均 AME/GE 和 NE/AME 比值分别为 77%和 74%。后一个比值随着能量效率(EE)含量的增加而增加,随着日粮 CP 含量的降低而降低。结果表明,日粮 NE 含量可以通过 AME、CP 和 EE 含量来预测,并且 NE/AME 比值与 EE 呈正相关,与 CP 呈负相关。在热量计室中用 2 种日粮对蛋鸡进行的验证实验证实了从 NE 预测方程得出的估计值。总之,蛋鸡的日粮 NE 可以通过基于 AME 和 CP 以及 EE 含量的方程来预测,这与肉鸡报道的结果相似。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验