2023
NIR Calibration Set: Development and Maintenance - Year 2
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Contributor/Checkoff:
United Soybean Board
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-1-A
Contributing Organization (Checkoff):
United Soybean Board
$100,000
Institution Funded:
University of Minnesota
$100,000
Brief Project Summary:
Our goal is to identify and maintain 200 core soybean samples on an annual basis to be used by public and private firms for NIR calibration development and enhancement. The calibration set will be made up of new-crop soybeans and will include samples representative of commercial soybeans produced across the US. We will also include samples that are unique from a genetic, environmental, compositional, and/or spectral standpoint. Additionally, we will analyze up to 100 samples from partner entities. We will engage with private companies as well as public breeders through the USDA/USB Uniform Variety Trials to partner for sample analysis. We will send all samples to commercial laboratories for analysis by analytical chemical techniques (“wet chemistry”). These compositional profiles will be shared with those interested in validating their calibrations or developing new ones. Ultimately, more and better NIR measurements of valuable quality constituents will allow broader acceptance of the technology throughout the value chain, while increasing the quality of those measurements.
Information And Results
Project Summary

Project Objectives

Project Deliverables

Progress Of Work

Final Project Results

A total of 204 samples were identified, analyzed, inventoried, and stored. Analytical results can be found in an attached Excel file.

Benefit To Soybean Farmers

US farmers can produce high-quality soybean seed. However, due to variation in soybean composition, not all soybeans carry equal value for all end users. If the soybean value chain does not efficiently connect end users who desire specific quality traits with producers of soybeans with adequate levels of those traits, the system will not be optimized. Some end users will consume soybeans of inferior quality and some producers will deliver soybeans with quality profiles that cannot be fully used by end users. Part of the solution is to increase compositional measurement throughout the system by deploying more and better Near Infrared Spectroscopy (NIRS) instruments. The goal of this project is to assist public and private entities to develop better hardware and software will provide the technology background to move the soybean industry forward.

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.