在Nellore的Silvopastoral系统中最大限度地提高利,同时减少环境影响:一个理想化的,简化的农场级数学模型
A A G Lobo1, H M B Akhtar2, D P S Moreno3
1Universidade Federal de São Carlos - UFSCar, Departamento de Biotecnologia e Produção Vegetal e Animal, Grupo de Estudos e Trabalhos em Agropecuária - GETAP, Araras, SP, Brasil.
Brazilian journal of biology = Revista brasleira de biologia
|October 15, 2025
概括
优化Nellore牛的丝牧养系统可以大大提高利并减少对环境的影响. 综合农业增强了经济可持续性,同时将大量的二氧化碳 (CO2) 封存起来.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 运营研究 运营研究
背景情况:
- 野兽牧养系统结合了树木,料和牲畜,为增强可持续性提供了潜力.
- 优化这些系统对于最大化经济回报和最小化环境足迹至关重要.
- 巴西的Nellore畜牧业在平衡利能力与生态影响方面面临着挑战.
研究的目的:
- 开发和应用一个理想化的农场级数学模型来优化畜牧系统.
- 为了最大限度地提高利并最大限度地减少对环境的影响,特别是温室气体排放,为内罗尔牛生产.
- 在线性编程框架内整合植物和动物成分.
主要方法:
- 利用线性编程创建一个理想化的农场级数学模型.
- 嵌入的参数,如植物密度,动物营养和温室气体排放.
- 专注于资源配置优化,在集成的野生牧场系统中.
主要成果:
- 一个经营良好的牧草牧养系统显示了显著的利改善,达到R $ 867,712.72.
- 该系统实现了大量的二氧化碳 (CO2) 捕获,共计1341.39二氧化碳等价物.
- 该模型成功地集成了各种系统组件,以获得最佳的结果.
结论:
- 优化的畜牧牧系统为提高畜牧业的经济可持续性提供了一个可行的战略.
- 综合农业方法有效地减轻环境影响,包括温室气体排放.
- 数学建模为优化复杂农业系统提供了强大的工具.
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