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Application of linear programming in bull selection for a dairy herd
1Center for Animal Health and Productivity, New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square 19348.
Journal of the American Veterinary Medical Association
|January 15, 1995
Summary
Dairy producers can optimize bull selection for genetic improvement and cost savings. Linear programming identified a cost-effective bull portfolio, reducing expenses while maintaining genetic goals for dairy herds.
Area of Science:
- Animal Science
- Agricultural Economics
- Genetics
Background:
- Commercial dairy herds rely heavily on artificial insemination (AI) centers for bull semen.
- Bull selection impacts herd economics, genetic gain, and future production.
- Producers face challenges balancing semen cost with long-term genetic improvement goals.
Purpose of the Study:
- To analyze the bull selection strategy of a commercial dairy herd.
- To apply linear programming for optimizing bull portfolio selection.
- To achieve genetic similarity at a reduced semen cost.
Main Methods:
- Portfolio analysis of bull semen usage in a 450-cow dairy herd.
- Implementation of linear optimizing programming for bull selection.
- Economic evaluation of traditional versus optimized bull selection.
Main Results:
- Identified inefficiencies in the existing bull selection portfolio.
- Developed a genetically similar bull selection strategy at a significantly lower cost.
- Demonstrated the potential for cost savings in dairy herd management.
Conclusions:
- Linear programming offers a data-driven approach to optimize bull selection in dairy herds.
- Strategic bull portfolio management can lead to substantial cost reductions.
- This decision-making model is adaptable to various dairy farm conditions.