4.7 Article

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

Journal

AGRICULTURE-BASEL
Volume 11, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/agriculture11040280

Keywords

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

Categories

Funding

  1. Konkuk University

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available