Feed & Additive Magazine Issue 3 April 2021

ARTICLE FEED & ADDITIVE MAGAZINE April 2021 75 Based on AB Vista data collected worldwide, the reactive: total lysine ratio, and UA can be shown based on the country of sample origin. PRACTICAL APPLICATION OF REACTIVE LYSINE IN FEED FORMULATION Based on AB Vista´s global soy- bean meal database, it can be pre- dicted that ca. 15% of all soybean meal samples could be deemed over-toasted (reactive:total lysine ratio <90%). This means feed producers should consider supple- menting their feed containing this material with additional amino ac- ids to ensure the feed contains the correct amino acid levels. In addition to total and reactive lysine content, AB Vista also pre- dicts standardised ileal digestible (SID) amino acid content in soy- bean meal. These results can be used in combination to create con- version factors in order to adjust expected SID AA content in the feed formulation system. CONCLUSION The various steps in soybean meal production have an impact on the quality of the material. Tradi- tional methods to check the impact of soybean meal processing on quality may not be sensitive enough for use in practical situations and urease activity and reactive lysine are the most appropriate methods to detect under and over-processed soybean meal, re- spectively. Near-Infrared Reflectance (NIR) Technology is a rapid, non-destructive and cost-effective alterna- tive to traditional wet chemistry analysis. Urease index and reactive lysine protein quality indicators are available for AB Vista clients to use via the web- based NIR prediction service, Feed Quality Service. For further information or references please contact emea@abvista.com References: 1. https://www.nutritionadvance.com/harmful-effects- of-soybean-oil/ 2. American Soybean meal Association (http://www. wishh.org/wp-content/uploads/2014/09/Moham- med-Sherif.pdf ) 3. Adapted from Evonik, impact of processing on raw material quality, May 2017 4. Batal et al., 2000. Poult Sci 79, 1592-1596 5. Van Eys JE, Manual of quality analyses for soybean products in the feed industry. Second edition. US Soy- bean Export Council. 6. Rutherfurd and Morghan, 2007 Figure 4: Reactive:total lysine (black bars) content and variation from soybean meal Feed Quality Service sample data collected during 2020. Optimum values are above 90% reactive:total lysine ratio as shown by the horizontal red line. Figure 5: UA and variation from soybean meal Feed Quality Service sample data collected during 2020. Industry expectation is between 0.05 and 0.3U.