乳制品印刷模型:一种决策支持模型,以帮助奶牛农和其他利益相关者提高可持续性
Tadeu E da Silva1, Victor E Cabrera2
1Department of Animal and Veterinary Sciences, University of Vermont-Burlington, Burlington, VT 05405.
Journal of dairy science
|August 4, 2024
概括
乳制品打印是一个新的,用户友好的模型,帮助农民估计温室气体 (GHG) 排放. 它确定了饮食和便管理等关键因素,以减少农场的二氧化碳,甲和氧化.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 动物科学动物科学
背景情况:
- 奶农面临着减少温室气体 (GHG) 排放的压力,包括二氧化碳 (CO),甲 (CH) 和氧化 (N).
- 直接测量农场内的温室气体排放通常是不切实际的或昂贵的,导致依赖数学模型.
- 现有的模型往往不易于使用,难以获取,或过于以研究为导向,无法在实际农场应用.
研究的目的:
- 推出DairyPrint,这是一个用户友好的工具,旨在估计奶牛养殖业务的温室气体排放.
- 提供一个全面而简单的方法,整合群体动态,肥管理和料考虑.
- 让农民能够轻松地探索改善农场可持续性的"如果"情景.
主要方法:
- 使用R编程语言与Shiny框架和Golem包开发了DairyPrint模型.
- 集成模块用于群体动态,肥料管理和作物/料考虑.
- 在32个模拟场景中对模型进行了评估,其中包括不同的饮食成分,3-氧醇 (3-NOP) 补充剂,床铺类型,便管理频率和生物消化剂/固体液体分离使用.
主要成果:
- 在32个场景中平均温室气体排放量为0.811公斤CO2eq/公斤牛奶 (经脂肪和蛋白质校正).
- 最低排放场景 (0.644公斤CO2eq/kg) 结合了较低的NDF-ADF饮食水平,3-NOP,沙床,生物消化器/固体-液体分离,以及每两年一次的肥池排空.
- 最高排放场景 (1.082公斤CO2eq/kg) 涉及更高的NDF-ADF饮食水平,没有3-NOP,粉床,没有生物消化器/固体-液体分离,以及每年的便池排空.
结论:
- 乳制品印刷模型为奶牛农提供了一个实用和直观的工具,以估计和理解他们的温室气体排放.
- 具体的管理实践,包括食配方,料添加剂 (3-NOP),床材和便处理,显著影响温室气体排放.
- 该模型使农民能够做出明智的决定,以提高环境可持续性和减少碳足迹.
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