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Novel Two-Slope Equations to Predict Amino Acid Concentrations Using Crude Protein Concentration in Soybean Meal

Author

Listed:
  • Su A Lee

    (Department of Animal Science and Technology, Konkuk University, Seoul 05029, Korea
    Department of Animal Sciences, University of Illinois, Urbana, IL 61801, USA)

  • Chan Sol Park

    (Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA)

  • Beob Gyun Kim

    (Department of Animal Science and Technology, Konkuk University, Seoul 05029, Korea)

Abstract

Amino acid (AA)-to-crude protein (CP) ratios in soybean meal (SBM) may be different for different sources of SBM depending on the presence of additional hulls. Therefore, this study was conducted to develop novel two-slope equations to predict the concentrations of AAs in SBM using CP as an independent variable. Regression analyses were performed with each AA in SBM as the dependent variable and the CP as the independent variable. Among all AAs, the predicted Lys in SBM (% dry matter (DM)) was: Lys = 3.19 − 0.026 × (51.88 − CP) where CP < 51.88% DM and Lys = 3.19 + 0.072 × (CP − 51.88) where CP > 51.88% DM with R 2 = 0.51 and p < 0.001. In conclusion, the novel equations provided reasonable estimates of the AA concentrations from different ranges of CP in SBM.

Suggested Citation

  • Su A Lee & Chan Sol Park & Beob Gyun Kim, 2021. "Novel Two-Slope Equations to Predict Amino Acid Concentrations Using Crude Protein Concentration in Soybean Meal," Agriculture, MDPI, vol. 11(4), pages 1-8, March.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:4:p:280-:d:523731
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