Location: Weed and Insect Biology Research
Project Number: 3060-30400-001-002-A
Project Type: Cooperative Agreement
Start Date: Aug 1, 2026
End Date: Jul 31, 2028
Objective:
Objective 1: use established wet chemistry method (Galasso et al. 2024) to quantify total glucosinolates from vegetative tissue and seeds of diverse camelina populations using a spectrophotometric approach.
Objective 2: use established wet chemistry method (Meza et al. 2022) to quantify individual glucosinolates from leaves and seeds of diverse camelina populations using Ultra Performance Liquid Chromatography with Diode Array Detection (UPLC-DAD) approach.
Objective 3: use wet chemistry data, obtained in objectives 1 and 2, to develop calibration curves for high throughput NIR analysis for glucosinolates in vegetative tissue and seeds of camelina.
Approach:
Seed from 80 – 100 individuals within the USDA-ARS-Fargo camelina diversity panel will be planted and grown using established greenhouse protocols. Sufficient replication will be incorporated into the study to allow for harvest leading to the final yield of two to three grams of freeze-dried vegetative tissue (including above and below ground) and to conduct statistical analysis of results. For determining seed glucosinolate levels from the same 80 – 100 individuals selected from the camelina diversity panel, existing seed lots will be used.
Objective 1: Harvested and processed tissues and seeds from the camelina diversity panel will first be scanned on both a FOSS DS2500 (USDA-ARS-Fargo) and DS3F (NDSU) NIR and these same samples will then be analyzed for total glucosinolates using the spectrophotometric method described by Galasso et al. (2024).
Objective 2: Plant growth, treatments and samples will be the same as described in Objective 1 and processed tissues and seed will be analyzed for individual glucosinolates using the UPLC-DAD method described by Meza et al. (2022).
Objective 3: The data resulting from objectives 1 and 2 will be compared using regression analysis to determine similarity of total glucosinolate levels between different wet chemistry methods. Results from objective 1 will be used to develop calibration curves for total glucosinolates on two modern, but different NIR. Likewise, results from objective 2 will be used to develop calibration curves for individual glucosinolates on both NIR. Both objective 1 and 2 will utilize commercially available glucosinolate standards to develop standard curves for wet chemistry analyses. Accomplishing objective 3 will allow for a high throughput method for evaluating glucosinolate levels in vegetative tissues and seeds of camelina.