2023
Challenging the Competition: Validating NIR Calibrations for Valued Compositional Traits
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Amino acidsOilSoy protein
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Seth Naeve, University of Minnesota
Co-Principal Investigators:
Project Code:
23-204-S-B-2-A
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:
This project is designed to evaluate the performance of Evonik’s soybean calibration installed on both an FT-NIR (Bruker Tango) and a scanning monochrometer NIR (FOSS2500). Also evaluated in parallel will be an independently-developed amino acid calibration from PerkinElmer on their scanning monochrometer (DA7250), widely used by Universities and soybean processors. Samples will be scanned on both instruments and results will be compared with wet lab results (Evonik’s own laboratory and the University of Missouri's Agricultural Experiment Station Chemical Laboratories).
Information And Results
Project Summary

Project Objectives

Project Deliverables

Progress Of Work

Final Project Results

This project tested NIR performance of two commonly utilized calibrations for protein and amino acid estimation in whole soybeans. This project tested performance of three presentation methods or grinds for the PerkinElmer calibration (whole seed, plate mill, and centrifugal mill) while the Evonik calibration was tested only with soybean seed ground with the centrifugal mill. The primary focus of this work was to determine whether the Evonik calibration that is provided to feed mills to estimate amino acid levels in soybeans and soybean meal for ration development (including additions of supplemental synthetic amino acids) was biased toward an underestimation of amino acids within the soybean. We found the calibration to perform with a high level of accuracy. The Evonik calibration slightly underestimated protein, threonine, and tryptophan while slightly overestimating the other primary amino acids. Precision between lab and NIR was estimated here with the Coefficient of Determination or R2. The Evonik calibration tended to perform with a high level of precision as well. While this differed between individual amino acids. Those that are more difficult to assess with traditional lab methods such as methionine and cysteine were not predicted effectively with this calibration, but others were predicted well. The PerkinElmer calibration performed similarly with the Evonik, but in most cases biases were slightly lager and R2 values slightly lower. Despite vast differences in NIR hardware, calibration development and reference labs, the two instrument/calibration combinations tended to perform similar to one another.

Benefit To Soybean Farmers

Today, most feed millers, integrators, and other feeders utilize NIR technology to evaluate the composition of feed ingredients to develop mixed rations. These rations include the addition of synthetic amino acids to plug any potential holes in amino acid deficiency created by the ingredients in blended feed. This project evaluated the performance of Evonik’s soybean calibration installed on both FT-NIR (Bruker Tango) in parallel with an independently developed amino acid calibration from PerkinElmer on their scanning monochrometer (DA7250), widely used by universities and soybean processors. Samples were scanned on both instruments and results were compared with wet lab results to determine whether amino acid suppliers have their thumbs on the scale and thus limit inclusion of soybean meal in rations in favor of SBM’s main

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.