
EPD Basics
From Behind The Beef by UltraInsights Processing Lab, Inc.
January 20, 2026 · 21 min · Season 1 · Episode 2
About this episode
Madison and Becky discuss the fundamentals of Expected Progeny Differences (EPDs) and their importance in cattle management.
In this second episode of Behind the Beef , Madison and Becky break down the fundamentals of Expected Progeny Differences (EPDs) . Aimed at both newcomers and experienced producers, this conversation treats EPDs as the "dribbling and passing" of cattle data - essential skills to master before diving into complex management plays. What is an EPD? : A look at the high-level data used to predict an animal's genetic potential. The Three Building Blocks : Discover how EPDs are generated using pedigree connectivity, performance data (weights and measures), and modern DNA technology. The Power of Accuracy : Understand the decimal-based accuracy scale (0 to 1.0) and why higher accuracy provides more confidence for critical breeding decisions, such as selecting bulls for heifers. Balancing Multiple Traits : Learn how to use Economic Indexes (like $B or API) to weigh multiple EPDs simultaneously, helping you meet long-term herd goals without getting lost in the numbers. Common Pitfalls : Why you shouldn't compare EPDs across different breed databases and how to use percentile rankings to see how an animal stacks up against the industry average. Whether you're a seedstock producer…
People in this episode
Hosts: Madison, Becky
Topics covered
- Expected Progeny Differences
- cattle data
- breeding decisions
- genetic potential
- Economic Indexes
Keywords
- EPD basics
- cattle breeding
- genetic data
- performance data
- DNA technology
Mentioned in this episode
Books & works: Behind the Beef
More episodes of Behind The Beef
- Data Schedule - Season 1 Finale · March 17, 2026 · 21 min
- Consistency is Key · March 10, 2026 · 23 min
- UK Review Part 2 · March 2, 2026 · 26 min
- UK Review Part 1 · February 24, 2026 · 19 min
- Timing is Everything · February 17, 2026 · 24 min
- How Are You Using the Data? · February 10, 2026 · 18 min
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