预测肉料的净能量
Aye-Cho Tay-Zar1, Manoosak Wongphatcharachai1, Pairat Srichana1
1Charoen Pokphand Foods Public Company Limited (CPF), Bangkok, Thailand.
Animal nutrition (Zhongguo xu mu shou yi xue hui)
|February 16, 2024
概括
这项研究开发了肉饮食的净能量 (NE) 预测方程,通过计算热量增加来提高料能量准确性. 这个方程,NE = (0.815 × AME) - (0.026 × CP) + (0.020 × EE) - (0.024 × NDF),适用于家禽的营养.
科学领域:
- 动物科学动物科学
- 营养生物化学 营养生物化学
- 禽类生理学 禽类生理学
背景情况:
- 净能量 (NE) 通过将热量增量纳入,可以提供比表面代谢能 (AME) 更精确的禽类料能量评估.
- 由于缺乏针对不同饮食的强有力的预测模型,在家禽业中广泛采用NE是有限的.
研究的目的:
- 制定和验证肉饮食的净能量 (NE) 值的预测方程.
- 建立一种可靠的方法来计算基于化学成分的饮食NE.
主要方法:
- 制定了23种肉饮食,各种成分组成和营养成分配置.
- 在呼吸室里给308只Ross肉 (18-23天) 食,以测量能量平衡,AME和热量产生.
- 能源平衡数据 (n=235) 用于计算NE,并根据近距离分析 (粉,CP,EE,NDF) 开发预测方程.
主要成果:
- 增长表现和AME值都在预期范围之内.
- NE/AME比率平均为76.6%,受原蛋白 (CP) 和中性洗剂纤维 (NDF) 的负面影响,受以太提取物 (EE) 的积极影响.
- 获得的最佳预测方程是NE (MJ/kg DM) = (0.815 × AME) - (0.026 × CP) + (0.020 × EE) - (0.024 × NDF).
结论:
- 开发的NE预测方程是准确的,适用于肉的料成分和完整的饮食.
- 该模型提高了家禽营养中料能量评估的精度.
- 这些发现支持在家禽产业中使用NE系统的增加.
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