Details Make the Difference: New Approach to Soybean Meal Looks at Bigger Picture

 

Buyers of soybean meal have traditionally measured its value simply through protein content, but new research proves that the difference is in the details. All quality indicators – crude protein, crude fiber, neutral detergent fiber, sugars, and amino acid profiles – should be taken into account by purchasers to consider the meal’s true value.

 

A recent meta-analysis looked at 18 different studies and 1,944 samples of soybeans from Argentina, Brazil, India, and the United States to quantify the relationship between the country of origin and the chemical composition, protein quality, and nutritive value of the resulting soybean meal. The data from this study were then processed by the Nutrient Value Calculator (NVC), a software tool constructed by Genesis Feed Technologies. Genesis co-founder and CEO Peter Schott provides more detail in Feedstuffs about how this tool was developed to translate the nutritional value of soybean meal into dollars per metric ton. The nutritional value spread or nutritional value difference between origins combined with the relevant price data between the origins can help feed ingredient buyers to more easily compare and contrast the nutrient value of different feed options and demonstrate the savings that come with high nutrient value ingredients such as U.S. Soy.

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."