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Near‐infrared reflectance calibrations for determining sucrose content in soybean breeding using artificial reference samples
Author(s) -
Sato Takashi,
Zahlner Viola,
Berghofer Emmerich,
Lošák Tomas,
Vollmann Johann
Publication year - 2012
Publication title -
plant breeding
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 71
eISSN - 1439-0523
pISSN - 0179-9541
DOI - 10.1111/j.1439-0523.2012.01975.x
Subject(s) - sucrose , near infrared reflectance spectroscopy , food science , biology , near infrared spectroscopy , neuroscience
With 3 figures and 1 tableAbstract In food‐grade soybeans for human nutrition, sucrose content is a character of interest apart from protein, because sucrose affects flavour and other soy‐food properties. As determination of sucrose content through separative or enzymatic methods is not suitable for analysing large numbers of samples, the objective of this research was to develop near‐infrared reflectance spectroscopy (NIRS) calibrations for rapid screening of breeding lines for sucrose. Conventional soybean samples have a sucrose content of 30–60 g/kg, whereas high‐sucrose reference samples are lacking. Therefore, both natural and artificial (additional sucrose added) reference samples with a sucrose content of up to 140 g/kg were combined, and a NIRS calibration model was developed (cross‐validation R 2 = 0.969) for sucrose. Utilizing wavelength ranges with homogeneous performance in both natural and artificial samples, a prediction model was obtained, which suggests a stable performance of the calibration over a wide range of sucrose concentrations. Thus, identification of high‐sucrose soybean introgressions should be possible in appropriate segregating populations.