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- W1574669560 abstract "With 3 figures and 1 table Abstract 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." @default.
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- W1574669560 date "2012-05-29" @default.
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- W1574669560 title "Near-infrared reflectance calibrations for determining sucrose content in soybean breeding using artificial reference samples" @default.
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- W1574669560 doi "https://doi.org/10.1111/j.1439-0523.2012.01975.x" @default.
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