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Article
Measurement of Single Soybean Seed Attributes by Near-Infrared Technologies. A Comparative Study
Journal of Agricultural and Food Chemistry
  • Lidia Esteve Agelet, Iowa State University
  • Paul R. Armstrong, United States Department of Agriculture
  • Ignacio Romagosa Clariana, Universitat de Lleida
  • Charles R. Hurburgh, Jr., Iowa State University
Document Type
Article
Publication Date
8-28-2012
DOI
10.1021/jf3012807
Abstract
Four near-infrared spectrophotometers, and their associated spectral collection methods, were tested and compared for measuring three soybean single-seed attributes: weight (g), protein (%), and oil (%). Using partial least-squares (PLS) and four preprocessing methods, the attribute that was significantly most easily predicted was seed weight (RPD > 3 on average) and protein the least. The performance of all instruments differed from each other. Performances for oil and protein predictions were correlated with the instrument sampling system, with the best predictions using spectra taken from more than one seed angle. This was facilitated by the seed spinning or tumbling during spectral collection as opposed to static sampling methods. From the preprocessing methods utilized, no single one gave the best overall performances but weight measurements were often more successful with raw spectra, whereas protein and oil predictions were often enhanced by SNV and SNV + detrending.
Comments

Posted with permission from Journal of Agricultural and Food Chemistry 60 (2012): 8314–8322, doi:10.1021/jf3012807. Copyright 2012 American Chemical Society.

Access
Open
Copyright Owner
American Chemical Society
Language
en
File Format
application/pdf
Citation Information
Lidia Esteve Agelet, Paul R. Armstrong, Ignacio Romagosa Clariana and Charles R. Hurburgh. "Measurement of Single Soybean Seed Attributes by Near-Infrared Technologies. A Comparative Study" Journal of Agricultural and Food Chemistry Vol. 60 Iss. 34 (2012) p. 8314 - 8322
Available at: http://works.bepress.com/charles_hurburgh/63/