The Poultry Nutrition Blackbelt Podcast - 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!

What you'll learn:  

• Soybean meal variability
• Rooster bioassay limitations
• Near-infrared spectroscopy applications
• Predictive calibration accuracy
• Feed mill transferability

Meet the guest:

Thomas Jones is a PhD student in Poultry Science at the University of Georgia, Athens, specializing in near-infrared reflectance spectroscopy for real-time nutrient analysis of poultry feed. His research focuses on correlating NIRS-based spectra with rooster bioassay data to predict digestible amino acid content in soybean meal, aiming to improve feed formulation accuracy and reduce analytical turnaround time at the feed mill level. 

Connect with our guest on Social Media: LinkedIn

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