Optimizing the herd calving pattern with linear programming and dynamic probabilistic simulation

Area of Science:

• Agricultural Economics
• Dairy Science
• Operations Research

Background:

• Seasonal variations in dairy herd performance and milk prices historically received limited attention regarding optimal calving strategies.
• Effective herd management requires aligning calving patterns with economic and biological factors for improved profitability.

Purpose of the Study:

• To develop and illustrate a farm-specific method for determining the optimal dairy herd calving pattern.
• To maximize herd gross margin under restricted annual milk production and evaluate the impact of additional constraints.

Main Methods:

• Utilized linear programming to establish an optimal, farm-specific calving pattern.
• Employed a dynamic probabilistic simulation model to calculate necessary technical and economic parameters.
• Tested the model with a scenario maximizing gross margin under a milk production restriction.

Main Results:

• The optimal calving pattern under restricted milk production was determined to be all heifer calvings in August.
• Allowing only home-reared replacement heifers shifted calving to July-October, with a minimal gross margin reduction.
• Sensitivity analyses explored the impact of reduced reproductive performance and ignored seasonal price variations.

Conclusions:

• The developed method provides a flexible tool for optimizing dairy herd calving patterns.
• Farm-specific inputs and constraints, including seasonal price fluctuations, are crucial for effective calving pattern determination.
• This approach aids in maximizing herd profitability and efficiency through strategic calving management.