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

Su A Lee, Chan Sol Park and Beob Gyun Kim
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Su A Lee: Department of Animal Science and Technology, Konkuk University, Seoul 05029, Korea
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

Agriculture, 2021, vol. 11, issue 4, 1-8

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.

Keywords: amino acids; broken-line analysis; correlation; crude protein; prediction equation; regression; soybean meal (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
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