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  • 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 R2 = 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.
  • 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 R2 = 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. (en)
Title
  • Near-infrared reflectance calibrations for determining sucrose content in soybean breeding using artificial reference samples
  • Near-infrared reflectance calibrations for determining sucrose content in soybean breeding using artificial reference samples (en)
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  • Near-infrared reflectance calibrations for determining sucrose content in soybean breeding using artificial reference samples
  • Near-infrared reflectance calibrations for determining sucrose content in soybean breeding using artificial reference samples (en)
skos:notation
  • RIV/62156489:43210/12:00188047!RIV13-MSM-43210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
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  • 131
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 153471
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  • RIV/62156489:43210/12:00188047
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  • seed quality; sucrose content; near infrared reflectance spectroscopy; soybean (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [FFCE4AE3059D]
http://linked.open...i/riv/nazevZdroje
  • Plant Breeding
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http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lošák, Tomáš
  • Vollmann, Johann
  • Berghofer, Emmerich
  • Sato, Takashi
  • Zahlner, Viola
issn
  • 0179-9541
number of pages
http://localhost/t...ganizacniJednotka
  • 43210
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