Multivariate NIR Studies of Seed-Water Interaction in Scots Pine Seeds (Pinus sylvestris L.)
Year: 2003
Type: dissertation
Abstract: Lestander, T. A. 2003. Multivariate NIR studies of seed-water interaction in Scots pine seeds (Pinus sylvestris L.). Doctoral dissertation. ISBN 91-576-6516-8, ISSN: 1401-6230 This thesis describes seed-water interaction using near infrared (NIR) spectroscopy, multivariate regression models and Scots pine seeds. The presented research covers classification of seed viability, prediction of seed moisture content, selection of NIR wavelengths and interpretation of seed-water interaction modelled and analysed by principal component analysis, ordinary least squares (OLS), partial least squares (PLS), bi-orthogonal least squares (BPLS) and genetic algorithms. The potential of using multivariate NIR calibration models for seed classification was demonstrated using filled viable and non-viable seeds that could be separated with an accuracy of 98-99%. It was also shown that multivariate NIR calibration models gave low errors (0.7 % and 1.9%) in prediction of seed moisture content for
Author: Torbjörn A. Lestander
Institution: Swedish University of Agricultural Sciences
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W2097801343