Final Validation of Reduced-Oil DDGS Energy Prediction Equations for Swine and Widespread Industry Implementation

Swine

Abstract

The widespread implementation of corn oil extraction in the U.S. ethanol industry has led to perceptions among DDGS marketers and nutritionists that the resulting reduced-oil DDGS has less metabolizable energy (ME) than traditional high-oil DDGS sources. Our previous research showed a very poor association between oil content of DDGS and ME content for swine. As a result, ME prediction equations, based on chemical composition of DDGS, were developed and validated to accurately estimate ME content among DDGS sources with variable oil content for swine. The objective of this study was to conduct a final validation that oil content of DDGS does not affect ME content for swine. Our results verified this when comparing 3 DDGS sources containing 14, 10, and 6% crude fat but similar predicted ME content. These results are invaluable for educating DDGS marketers and end-users that ME content can be accurately be predicted using our validated prediction equations even though oil and chemical composition varies among sources. This benefits corn farmers because DDGS price should not be discounted because of reduced oil content, and provides convincing evidence to maintain existing diet inclusion rates for DDGS in swine. Ultimately, these results will help maintain demand in domestic and exports markets for using U.S. DDGS in swine diets.

Final validation of reduced-oil DDGS energy prediction equations for swine and widespread industry implementation

By G. C. Shurson, P. E. Urriola, B. Hu, M. Saqui-Salces, B. Kerr. Minnesota Corn Research and Promotion Council.