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Beef Producers Could Have More Precise Way to Manager Herds in the Future

Beef producers in the future could have a more precise way to determine the productivity of their cattle, thanks to a collaboration between Mizzou Engineering and the College of Agriculture, Food and Natural Resources (CAFNR). The project aims to provide a better understanding of how a herd’s environment and management impact productivity, Decker said. Researchers will predict factors such as a cow’s size—surface area to volume ratio—skeletal structure, fat resources and hair coat using 3-D image data. Further, they will create DNA predictions of these traits. This is important for successful beef production, which relies on continual reproduction.

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Decoding Pig Performance With AI And Transcriptomics - Dr. Maria Walsh

Video: Decoding Pig Performance With AI And Transcriptomics - Dr. Maria Walsh

The Swine it Podcast Show, Dr. Maria Walsh, Chief Operating Officer at Biofractal, explains how transcriptomics and AI are helping swine producers better understand the gap between genetic potential and commercial performance. Dr. Walsh discusses metabolic efficiency, disease resilience, PRRS challenges, and practical on-farm biological insights using blood samples and AI-powered analysis. She also explains how nutrition, health, and production data can work together to improve decision-making. Listen now on all major platforms!

"Gene expression data provides biological insight into how pigs respond to nutrition, stress, and health challenges before visible production losses occur."