By Jackson Sterle
The pork industry operates on tight margins, where every pig counts. Nursery mortality isn’t just another performance metric; it’s a direct hit to profitability.
While most producers can recognize when mortality is trending in the wrong direction, the real challenge is identifying problems early enough to make a meaningful difference. Traditionally, this comes down to observation: walking pens, watching for clinical signs, and responding when something looks off. The challenge with these practices is that by the time symptoms are visible, the problem is already well underway. In many cases, producers are reacting instead of preventing.
Data provides early warning system
The SwinalytIQ team at Iowa State University (ISU), in partnership with Dr. Gustavo Silva (ISU) and Dr. Mafalda Mil-Homens (University of Barcelona), is changing that approach by using data producers already collect, such as weekly mortality records, feed intake, and water consumption to create an early warning system. Instead of relying solely on visual cues, this method detects abnormal trends before they become obvious in the barn.
The concept is simple: define what “normal” mortality looks like using historical data, then flag groups that begin to deviate from that baseline. In one dataset, more than 6,000 nursery lots with less than 5% nursery mortality were used to establish a benchmark reference curve representing expected performance. From there, statistical thresholds were applied to create alert levels when mortality patterns shift outside the norm.
When applied to high-risk groups with greater than 10% mortality, the system proved its value. Depending on how thresholds were set, problems were identified 1.6 to 2.2 weeks earlier than typical on-farm detection. That extra time gives producers a chance to step in sooner to adjust treatments and improve environmental conditions, while also triggering earlier diagnostic investigation before losses escalate. Early intervention not only reduces mortality but also helps maintain growth rate and feed efficiency across the group.
Economic impact for producers
The economic impact from early detection is just as important. According to research from Ralco Ag, even a 1% reduction in mortality can return approximately $1 per head, and across large systems, those gains add up quickly. Targeting high-risk groups helps retain revenue in tight-margin years. Early detection can reduce treatment needs, lower costs, and improve animal welfare by shortening illness duration and severity.
This approach also offers flexibility. More sensitive thresholds can identify a larger number of potential problem groups, increasing the opportunity to save pigs but requiring more time and resources to evaluate alerts. Stricter thresholds target the most severe cases, conserving resources but can increase the risk of missing early signals. Each operation can adjust this balance based on its goals, labor availability, and risk tolerance.
Stockmanship is still key
Ultimately, this shift moves mortality monitoring from reactive to proactive. It doesn’t replace good stockmanship, it enhances it. By combining day-to-day experience in the barn with insights from data, producers gain a clearer picture of what’s happening in their system and more time to respond. In an industry where timing is everything, that advantage can make a measurable difference in both pig performance and profitability.
