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Methanogenesis is a critical microbial process in anaerobic ecosystems responsible for the biological production of methane, a potent greenhouse gas and valuable biofuel. This metabolic pathway is primarily facilitated by methanogenic archaea, which thrive in anoxic environments such as wetlands, sediments, and animal gastrointestinal tracts. The absence of oxygen in these habitats prevents aerobic respiration, thereby favoring alternative biochemical pathways for organic matter degradation.In...
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预测乳牛和肉牛的肠道甲排放量,使用营养成分和摄入量变量.

Yaodong Wang1, Weitao Song1, Qian Wang1

  • 1College of Information Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.

Animals : an open access journal from MDPI
|December 17, 2024
PubMed
概括

这项研究开发了统计模型来预测牛的肠道甲排放. 新模型提高了牛肉和奶牛甲库存的准确性.

关键词:
牛肉牛 牛肉牛 牛肉牛乳牛牛奶牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛能源的能量是能量的能量.甲排放量排放甲的排放量统计模型是一个统计模型.

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科学领域:

  • 农业科学 农业科学
  • 动物科学动物科学
  • 环境科学 环境科学

背景情况:

  • 牛的肠道甲排放有助于温室气体的产生.
  • 准确预测甲排放对于环境管理和库存编制至关重要.
  • 现有的模型可能会高估甲产量,影响准确性.

研究的目的:

  • 开发和验证线性和非线性统计模型,用于预测牛肉和奶牛的肠道甲排放 (EME).
  • 为了利用营养成分组成和消化能力作为甲 (CH4) 生产的预测指标.
  • 提高牛类甲排放估计的准确性和精度.

主要方法:

  • 从34个已发表的实验中开发了三个数据库 (牛肉,乳制品,联合).
  • 应用混合模型方法来创建线性和非线性回归模型.
  • 使用根平均平方百分比错误 (RMSPE) 评估模型性能,并分析错误来源.

主要成果:

  • 肉牛,奶牛和综合数据库的线性模型显示,最小化的RMSPE值分别为21.99%,15.99%和24.4%.
  • 基于DMI的指数非线性模型在非线性模型中表现出优异的性能,但没有超过线性模型的可预测性.
  • 错误分析表明,随机错误占开发模型总错误的83%以上.

结论:

  • 开发的统计模型为牛肉和奶牛的肠道甲排放提供了更好的预测.
  • 这些模型有助于准备甲库存和估计甲产量.
  • 该研究强调了准确建模对于畜牧业环境影响评估的重要性.