阿肯色州净能源:一种对肉的性能和身体成分敏感的生产能源系统
Diego A Martinez1, Nawin Suesuttajit1, Cole Umberson1
1Department of Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA.
Poultry science
|July 20, 2025
概括
这项研究表明,生产能 (PE) 正确预测肉的表现,包括体重增加和料转换率. 基于PE开发的模型提供了一种可靠的方法来优化肉的饮食和管理策略.
科学领域:
- 动物营养动物营养
- 禽畜科学 禽畜科学 禽畜科学
- 能量代谢的能量代谢
背景情况:
- 精确的能源评估系统对于优化 brojler 营养和性能至关重要.
- 现有的系统,如代谢能源,可能无法完全捕获用于生长和维护的能量利用.
- 生产能 (PE) 提供了对肉生产可用的能源的潜在敏感度量.
研究的目的:
- 为了确定生产能 (PE) 对肉表现和身体组成的敏感性.
- 使用PE开发肉生长 (BWG),料转化率 (FCR) 和蛋白质积累 (PAC) 的预测模型.
- 为了比较PE与传统能源系统的预测能力.
主要方法:
- 在12种不同的氨基酸,蛋白质,脂肪,粉和非粉多糖的饮食治疗中利用了2,148只肉.
- 测量了食和禁食的热量产生,身体成分 (DXA) 和营养消化能力.
- 计算了各种能源指标,包括净能源增益 (NEg),净能源维护 (NEm),经典净能源 (CNE) 和生产能源 (PE).
- 使用混合模型开发和验证预测模型.
主要成果:
- 饮食治疗显著影响了NEg,NEm,PE和CNE,但不是热量增量 (HI).
- 与AMEn和CNE相比,PE对影响表现的饮食变化表现出更高的敏感性.
- 基于PE预测BWG,FCR和PAC的模型获得了高准确度 (R2>0.86).
结论:
- 生产能源 (PE) 是一种灵敏可靠的能源系统,用于预测肉的性能.
- 基于PE的模型为优化肉饮食和提高生产效率提供了有价值的工具.
- 在预测关键绩效指标的能力方面,PE超越了传统的能源指标.
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