为估计非反动物料成分的总能量的新奇方程式
Yoon Soo Song1, Ah Reum Son1, Beob Gyun Kim1
1Department of Animal Science, Konkuk University, Seoul 05029, Korea.
Animal bioscience
|August 30, 2024
概括
新的方程准确地估计了料成分的总能量 (GE),性能优于旧的模型. 这项研究改善了对动物营养和料配方的转基因预测.
科学领域:
- 动物营养 动物营养
- 料科学 料科学
- 营养素分析 营养素分析
背景情况:
- 对于有效的动物营养和料配方,准确估计料成分的总能量 (GE) 是至关重要的.
- 以前用于预测GE的方程在各种料成分的准确性方面存在局限性.
研究的目的:
- 评估用于估计各种料成分中的GE现有方程的预测准确性.
- 开发和验证新的方程,以便在料中更精确地估计 GE.
主要方法:
- 分析了2,279个料成分样本,用于近邻组件 (DM,CP,EE,灰) 和GE.
- 使用分析的样本集评估已建立的GE预测方程.
- 基于化学成分开发新的GE估计方程.
- 根据2012年NRC出版物中62种料成分的单独数据集验证新型方程.
主要成果:
- 来自Ewan (1989) 和Sauvant等人的现有方程. (2004) 发现在料成分中低估了转基因.
- 开发出了新的方程:GE = 4,299 + 7×CP + 53×EE (R2 = 0.342) 和GE = 4,341 + 11×CP + 54×EE - 24×ash (R2 = 0.372).这些方程的结果是:
- 与以前的模型相比,新开发的方程在验证中显示出更高的准确性.
结论:
- 新的方程式提供了更准确的估计缩料中的总能量度.
- 这些发现支持在料评估和食配方中提高动物生产的准确性.
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