对适应肉牛体外气体生产参数的不同数学模型的评估
Jinze Wang1, Zhiyu Zhou1, Yang Cheng1
1State Key Laboratory of Animal Nutrition and Feeding, College of Animal Science and Technology, China Agricultural University, No.2 Yuanmingyuan West Road, Beijing, 100193, China.
Scientific reports
|February 24, 2025
概括
这项研究评估了八种数学模型,用于在中国料中体外体外气生产动力学. 迈凯利斯-门 (MM) 模型推用于一般用途,而特定模型适合能源,蛋白质和粗料料.
科学领域:
- 动物营养 动物营养
- 流体微生物学 流体微生物学
- 数学建模的数学建模
背景情况:
- 在试验室中,气的产生对于评估料的消化性和营养价值至关重要.
- 需要精确的运动模型来描述反动物的气体生产模式.
- 料的成分各不相同,因此不同类别的料需要特定的模型.
研究的目的:
- 为了比较八个数学模型的适用性,以描述体外气生产动力学.
- 为不同的料类别确定最佳模型:能量料,蛋白质料和粗料.
- 为各种养研究选择合适模型提供指导.
主要方法:
- 在 57 种中国原料 (能源,蛋白质,粗料) 进行了体外气体生产实验.
- 在天然气生产数据上应用了八种数学模型 (例如,迈凯利斯-门,带滞后的物流指数,米切利希).
- 使用确定系数 (R2),回归分析,错误指标 (MAE,RMSEP,MSEP) 和信息标准 (AIC,BIC) 评估模型性能.
主要成果:
- 迈凯利斯-门 (MM) 或物流-指数式与滞后 (LEL) 模型是最适合能源料的.
- 对于蛋白质料来说,MM模型是最佳的.
- 米切利希 (MIT) 模型显示了粗料的最佳准确性.
- 在没有区分的情况下,MM模型在所有料类别中表现良好.
结论:
- 对于体外气生产动态的模型选择取决于料类别.
- MM模型是通用应用和蛋白质料的多功能选择.
- 对于能源料和粗料,LEL和MIT模型分别提供了特定的优势.
- 精确的动态建模有助于更好地评估料和为反动物配料配制.
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