Protein characterization: LDP 2020-2021 using NIRS
Overview
Objectives
To develop and evaluate the NIRS models for the prediction of protein and amino acid composition in whole and ground lentils for two types of NIR spectrometers: DA 7250 and FT 9700 (PerkinElmer Health Sciences Canada Inc., Winnipeg, MB, Canada).
To analyze the effects of sample status, spectrometers and amino acid correlations to protein on the performance of NIR models.
To evaluate variation of protein and amino acid compositions in cultivated lentils from Canada.
To detect SNPs significantly associated with protein and 18 amino acids content by using a genome-wide association analysis.
Parent Research Study
Experiment Summary
This experiment uses near-infrared reflectance spectroscopy (NIRS) measurements calibrated against the official methods to determine the percent composition on a dry matter basis of protein and various amino acids in ground / whole Lentil samples. The NIRS measured Alanine, Arginine, Aspartic Acid, Cysteine, Glutamic Acid, Glycine, Histidine, Isoleucine, Leucine, Lysine, Methionine, Phenylalanine, Proline, Serine, Threonine, Tryptophan, Tyrosine, Valine, as well as, crude protein content. The experiment focused on individual samples from the Lentil Diversity Panel to elucidate varietal differences with each sample being specific to a single variety.
Germplasm
| Germplasm Genus |
Lens
|
|---|---|
| Germplasm Scientific Name |
Lens culinaris
|
| Germplasm Collection |
AGILE Lentil Diversity Panel
|
Phenomics
Key Measurements
- Total protein percent composition on a dry matter basis (%)
- Amino Acid specific percent composition on a dry matter basis (%) for each of 18 amino acids
Experimental Design
| Experimental Site Locations |
|
|---|---|
| Timepoints |
|
| Biochemical Technique |
Near-infrared (NIR) Spectroscopy
|
Attribution
Researchers
| Data Collector | |
|---|---|
| Data Custodian |
|
| Data Curator |
Publication(s)
- Hang J, Shi D, Neufeld J, Bett KE, House JD.Prediction of protein and amino acid contents in whole and ground lentils using near-infrared reflectance spectroscopy..LWT. 2022; 165:113669.
- Hang J (2022). Genome-wide association study of seed protein and amino acid contents in cultivated lentils as determined by near-infrared reflectance spectroscopy [Master’s thesis, University of Manitoba]. MSpace. https://mspace.lib.umanitoba.ca/handle/1993/36250.
Associated Datasets
Dataset
LDP Protein Percent Composition NIRS Dataset (XLSX, TSV)
This dataset consists of the total protein percent composition on a dry matter basis and amino acid specific percent composition on a dry matter basis (%) for each of 18 amino acids. The protein compositions were determined using near-infrared reflectance spectroscopy (NIRS) models. The seeds used for this analysis are from the AGILE field trial site-years Rosthern2016, Sutherland2016, Rosthern2017, Sutherland2017. These seed samples are the exact same source as the linked reference method experiment.
Funding
Research Organization
Funding Grant
Grant Logo
Title
EVOLVES: Enhancing the Value of Lentil Variation for Ecosystem Survival
Data Custodian
- Kirstin E Bett
- Albert Vandenberg
Research Organization
Funding Range
2019-2023