Abstract

Single seed near infrared (NIR) transmittance spectroscopy showed high potential to classify and separate viable seeds from non-viable filled seeds of Scots pine (Pinus sylvestris L.). Multivariate calibration models based on NIR transmittance spectroscopy in the range 850-1048 nm had high prediction accuracy (98-99%) for the characterisation and separation of viable and non-viable filled Scots pine seeds. Viable and non-viable filled seeds were imbibed to 30% moisture content for 4 days at 15degreesC and nearly 100% relative air humidity. Utilising the phenomenon of different drying rates of imbibed viable and non-viable filled seeds, calibration models were fitted based on single seed spectra collected after 0.8-3.8 h of drying time at ca 20degreesC and ca 25% relative air humidity. The high prediction accuracy of classifying viable and non-viable filled seeds in the test set, dried for 2 h, was achieved using PLS regression modelling of NIR spectra collected within the calibration set.

Keywords

Softwood forest tree; Reflection spectrometry; Spermatophyta; Gymnospermae; Coniferales; Water content; Pinus sylvestris; Multivariate analysis; Calibration; Forecast model; Near infrared spectrometry; Drying; Imbibition; Separation process; Viability; Seed

Published in

Seed Science and Technology
2002, Volume: 30, number: 2, pages: 383-392
Publisher: ISTA

SLU Authors

• Lestander, Torbjörn

  • Department of Silviculture, Swedish University of Agricultural Sciences
    

• Oden, Per

  • Department of Silviculture, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science


Permanent link to this page (URI)

https://res.slu.se/id/publ/40869