Date of Award
2013
Publisher
North Dakota State University
Document Type
Thesis
Degree Awarded
Master of Science (MS)
Program
Agricultural and Biosystems Engineering
Department
Agricultural and Biosystems Engineering
College
Graduate and Interdisciplinary Studies
Faculty Advisor
Wiesenborn, Dennis P.
Description
Near Infrared Spectroscopy (NIRS) is widely used for quantitative analysis of oilseeds in a non-destructive manner. Canola (Brassica napus) is a popular oilseed crop that is used for food and biofuel markets. Due to limited seed availability in plant breeding programs, single plant analysis is often preferred. An NIRS commercial calibration model was evaluated to predict single plant canola seed, but the results showed the need for new NIRS calibration models to predict moisture content, oil content, and fatty acid content for single plant canola seed (3 g) with minimal sample preparation. A separate NIRS calibration model was developed for glucosinolates content utilizing 20 g seed. The resulting NIRS calibration models for moisture and oil content were acceptable. However, suitable NIRS calibration models were not obtained for fatty acids and glucosinolates content due to limited constituent variability and the narrow wavelength range used to collect spectra.
Recommended Citation
Sidhu, Harjot, "Non-Destructive Analysis of Single Plant Canola (Brassica Napus) Seed Using Near Infrared Spectroscopy" (2013). Agribusiness and Biosystems Engineering. 40.
https://digitalcommons.ndsu.edu/agribusiness-biosystems-engi/40
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/26652