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Thomas Jones: Predicting Amino Acids In Real Time | Ep. 151

In this episode of The Poultry Nutrition Blackbelt Podcast, Thomas Jones, a PhD student at the University of Georgia’s Department of Poultry Science, presents research on using near-infrared reflectance spectroscopy (NIRS) to predict digestible amino acid content in soybean meal. By correlating rooster bioassay data with NIR spectra, the method enables rapid, real-time nutrient assessment at the feed mill level, helping nutritionists manage ingredient variability more effectively. Listen now on all major platforms!

"Lysine digestibility in soybean meal can range from 2.3 to 2.8%, and at…

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