A Markovian decision model for beef cattle replacement that considers spring and fall calving

Area of Science:

• Agricultural Economics
• Animal Science
• Reproductive Management

Background:

• Beef cow-calf operations often face decisions regarding non-pregnant cows after the breeding season.
• Options include culling, retaining for the next season, or alternative winter breeding for a fall calving herd.
• Optimizing replacement policies is crucial for maximizing profitability in beef production.

Purpose of the Study:

• To determine the optimal replacement policy for beef cows to maximize long-run average net returns.
• To evaluate decisions based on cow age, reproductive status, and pregnancy checking season.
• To identify whether to retain or replace cows with pregnant heifers.

Main Methods:

• The study employed a Markovian decision process framework.
• Linear programming was utilized to find the optimal policy.
• Analysis considered various reproductive statuses and replacement timings.

Main Results:

• The optimal policy consistently involved culling non-pregnant cows.
• Replacement with heifers was recommended for the summer breeding herd.
• This policy led to a single, spring calving herd structure.

Conclusions:

• Culling non-pregnant cows and replacing them with heifers is the most profitable strategy.
• This approach simplifies herd management by establishing a single calving season.
• The findings provide a clear decision-making framework for beef producers.