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  1. Home
  3. Research Domains
  5. Agricultural, Veterinary And Food Sciences
  7. Agriculture, Land And Farm Management
  9. Agricultural Production Systems Simulation
  11. Maximizing Profits While Reducing Environmental Impacts In Silvopastoral Systems For Nellore: An Idealized, Simplified Farm-level Mathematical Model.
  1. Home
  3. Research Domains
  5. Agricultural, Veterinary And Food Sciences
  7. Agriculture, Land And Farm Management
  9. Agricultural Production Systems Simulation
  11. Maximizing Profits While Reducing Environmental Impacts In Silvopastoral Systems For Nellore: An Idealized, Simplified Farm-level Mathematical Model.

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Maximizing profits while reducing environmental impacts in silvopastoral systems for Nellore: an idealized, simplified farm-level mathematical model.

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

View abstract on PubMed

Summary
This summary is machine-generated.

Optimizing silvopastoral systems for Nellore cattle significantly boosts profits and reduces environmental impact. Integrated farming enhances economic sustainability while sequestering substantial carbon dioxide (CO2).

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Area of Science:

  • Agricultural Science
  • Environmental Science
  • Operations Research

Background:

  • Silvopastoral systems integrate trees, forage, and livestock, offering potential for enhanced sustainability.
  • Optimizing these systems is crucial for maximizing economic returns and minimizing environmental footprints.
  • Nellore cattle production in Brazil faces challenges in balancing profitability with ecological impact.

Purpose of the Study:

  • To develop and apply an idealized farm-level mathematical model for optimizing silvopastoral systems.
  • To maximize profits and minimize environmental impacts, specifically greenhouse gas emissions, for Nellore cattle production.
  • To integrate plant and animal components within a linear programming framework.

Main Methods:

  • Utilized linear programming to create an idealized farm-level mathematical model.
  • Incorporated parameters such as plant density, animal nutrition, and greenhouse gas emissions.
  • Focused on resource allocation optimization within integrated silvopastoral systems.

    • Main Results:

    • A well-managed silvopastoral system demonstrated significant profit improvement, reaching R$ 867,712.72.
    • The system achieved substantial carbon dioxide (CO2) sequestration, totaling 1,341.39 tons of CO2-equivalent.
    • The model successfully integrated diverse system components for optimized outcomes.

    Conclusions:

    • Optimized silvopastoral systems offer a viable strategy for enhancing economic sustainability in cattle farming.
    • Integrated farming approaches are effective in mitigating environmental impacts, including greenhouse gas emissions.
    • Mathematical modeling provides a powerful tool for optimizing complex agricultural systems.