Submitted to: Soybean Research World Conference Proceedings
Publication Type: Abstract only
Publication Acceptance Date: 4/15/1999
Publication Date: N/A
Citation: Interpretive Summary:
Technical Abstract: The value of soybean seeds is largely determined by oil and protein content. Sugars are the third most abundant component but little is known of the genetic diversity for sugar concentration or how it affects oil and protein concentration. Our objective is to develop methodology to accurately, rapidly, inexpensively, and non-destructively determine the protein, oil and sugar concentrations in soybean seeds. Protein, oil, sugar and moisture concentration were determined by NIR and high-field NMR spectroscopy for a large selection of soybean accessions from the USDA Soybean Germplasm Collection and experimental lines developed for differences in seed composition. Protein concentrations ranged from 36 to 57% (by dry weight), and oil contents varied from 11% to 24%. Correlation coefficients (R2) for calibrations were as high as 0.9998, and statistical errors determined with the program PLC Plus (SECV's) were less than 0.1% for both protein and oil in sets of 100 seed samples. Sugar concentrations ranged between 6.0 and 12.1%. We have found also that rapid and accurate analyses could be performed in a few seconds per sample by a highly-sensitive, new diode-array reflectance NIR technique with a DA7000 instrument recently developed by Perten Instruments Co (USA) that employs diode-array detection. We have also calibrated the NIR instruments for comparative runs on single soybean seeds. By producing a more complete profile of soybean composition, this technology will be useful in selecting among potential parental lines or progeny to increase the efficiency of genetically modifying soybean seed composition.