Modeling the trade-off between diet costs and methane emissions: A goal programming approach

Area of Science:

• Agricultural Science
• Environmental Science
• Animal Science

Background:

• Enteric methane emissions from livestock are a significant global greenhouse gas contributor.
• Dietary manipulation is a potential mitigation strategy, but its cost-effectiveness is often unclear.
• Limited research exists on the economic trade-offs between dietary costs and methane emission reductions.

Purpose of the Study:

• To develop an optimization framework for simultaneously minimizing dietary costs and enteric methane emissions.
• To identify a set of feasible solutions representing various trade-off levels between costs and emissions.
• To enable informed decision-making for cost-effective methane mitigation in livestock production.

Main Methods:

• Utilized a goal programming approach with a systematic grid of weights to define trade-off levels.
• Developed an optimization framework to jointly minimize diet costs and methane emissions.
• Applied the model to lactating dairy cows in the California Central Valley.

Main Results:

• The framework identified optimal diets balancing cost and methane reduction for various trade-off scenarios.
• The model allows for the imputation of a trading value for methane emissions, useful for policy design.
• Demonstrated the model's flexibility in adapting to different production systems and environmental impacts.

Conclusions:

• The developed optimization framework provides a tool for selecting diets that effectively reduce methane emissions while managing costs.
• The model supports the integration of emission mitigation costs into economic analyses and potential trading schemes.
• This approach offers a flexible method for optimizing livestock diets considering both economic and environmental factors.