Risk evaluation for bovine embryo transfer services using computer simulation and economic decision theory.

Area of Science:

• Reproductive biology
• Veterinary medicine
• Mathematical modeling

Background:

• Bovine embryo transfer is a key technology in cattle breeding.
• Optimizing superovulation protocols is crucial for maximizing efficiency and profitability.
• Existing methods lack comprehensive risk-benefit analysis.

Purpose of the Study:

• To develop and validate a mathematical model for evaluating bovine embryo transfer dynamics and risks.
• To compare the efficacy and economic outcomes of nonsuperovulation, FSH-superovulation, and PMSG-superovulation strategies.
• To inform optimal decision-making for embryo transfer service providers.

Main Methods:

• A mathematical model was constructed to simulate embryo collection, fertilization, transfer, and pregnancy rates.
• Decision analysis was applied to 1500 simulated flushes across three strategies: nonsuperovulation, FSH, and PMSG.
• Model validation was performed against 39 published studies, demonstrating high repeatability and accuracy.

Main Results:

• Superovulation significantly reduced pregnancy failure rates (FSH: 8%, PMSG: 6%) compared to nonsuperovulation (22%).
• PMSG yielded higher average pregnancies per flush (4.4) than FSH (3.9), though with greater response variation (64% vs 51%).
• Superovulation strategies projected a tenfold increase in net income over nonsuperovulation, with PMSG netting $105 more per flush than FSH.

Conclusions:

• Both FSH and PMSG superovulation are economically superior to nonsuperovulation for bovine embryo transfer.
• PMSG superovulation offers higher potential returns but with increased variability.
• Optimal pricing strategies for service providers include per-response for PMSG and per-transfer for FSH.