4.7 Article

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

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AGRICULTURE-BASEL
卷 11, 期 4, 页码 -

出版社

MDPI
DOI: 10.3390/agriculture11040280

关键词

amino acids; broken-line analysis; correlation; crude protein; prediction equation; regression; soybean meal

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  1. Konkuk University

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The study developed novel equations to predict the concentrations of amino acids in soybean meal using crude protein as an independent variable. The results showed that this approach provided reasonable estimates of amino acid concentrations in soybean meal across different ranges of crude protein.
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 x (51.88 - CP) where CP < 51.88% DM and Lys = 3.19 + 0.072 x (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.

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