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Related Experiment Video

Updated: May 24, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

A linear programming model to optimize diets in environmental policy scenarios.

L E Moraes1, J E Wilen, P H Robinson

  • 1Department of Animal Science, University of California, Davis 95616, USA.

Journal of Dairy Science
|February 28, 2012
PubMed
Summary

Developing a linear programming model for dairy cattle diets revealed that current carbon credit prices do not incentivize methane emission reduction. Significant cost increases occur with methane emission constraints, impacting dairy sustainability.

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Last Updated: May 24, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

  • Agricultural Economics
  • Environmental Science
  • Animal Science

Background:

  • Environmental policies increasingly impact agricultural practices.
  • Dairy production is a significant source of methane emissions.
  • Optimizing dairy cattle diets under environmental regulations is crucial for sustainability.

Purpose of the Study:

  • To develop a linear programming model for dairy cattle diet formulation considering environmental policies.
  • To analyze the effects of methane emission taxes and constraints on diet costs and nutrient excretions.
  • To evaluate the economic and environmental implications of policies on dairy farming.

Main Methods:

  • A minimum cost diet linear programming model was developed.
  • Simulated greenhouse gas emissions tax policy using carbon credit prices ($5, $17, $250/t).
  • Incorporated methane emission reduction constraints (5%, 10%, 13.5%) and calculated marginal costs.

Main Results:

  • Current carbon credit prices showed minimal incentive for methane reduction.
  • Methane emission reductions of 5%, 10%, and 13.5% increased diet costs by 5%, 19.1%, and 48.5%, respectively.
  • A 13.5% methane reduction increased nitrogen and potassium excretions by over 16%.

Conclusions:

  • Environmental policies, particularly methane constraints, significantly increase dairy diet costs.
  • Current market incentives are insufficient to drive substantial methane emission reductions in dairy.
  • The developed model can aid producers and policymakers in navigating environmental regulations in dairy production.