Fast prediction of quality parameters in whole seeds of oilseed rape (Brassica napus L.)

V. Míka, P. Tillmann, R. Koprna, P. Nerušil and V. Kučera
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V. Míka: Research Institute of Crop Production, Prague-Ruzynì, Research Station of Grassland Ecosystems, Jevíèko, Czech Republic
P. Tillmann: Research Institute of Crop Production, Prague-Ruzynì, Research Station of Grassland Ecosystems, Jevíèko, Czech Republic
R. Koprna: Research Institute of Crop Production, Prague-Ruzynì, Research Station of Grassland Ecosystems, Jevíèko, Czech Republic
P. Nerušil: Research Institute of Crop Production, Prague-Ruzynì, Research Station of Grassland Ecosystems, Jevíèko, Czech Republic
V. Kučera: Research Institute of Crop Production, Prague-Ruzynì, Research Station of Grassland Ecosystems, Jevíèko, Czech Republic

Plant, Soil and Environment, 2003, vol. 49, issue 4, 141-145

Abstract: A calibration equation for NIRSystems 6500 instrument was derived at VSTE Jevíčko using the measurement of broad collection of Czech samples of winter rape, allowing sufficiently accurate prediction of content of dry matter (DM), crude protein (XP), crude fat (XL), glucosinolates (GSL), oleic and linoleic acids in an extremely short time. The prediction accuracy was verified on a validation file (n = 60). The coefficients of determinance (R2) were 0.83 for XP, 0.71 for XL, and 0.84 for GSL. The prediction accuracy according to the VSTE equation was compared to the prediction accuracy according to the VDLUFA calibration equation (Kassel, FRG) used in EU near infrared spectroscopy network. It was stated that the former was not distinctly worse. Non-destructive NIR-analysis of the whole seed also allows sowing selected seeds in the year of harvest and thus accelerates the breeding cycle.

Keywords: winter oilseed rape; technological quality; NIRS; screening methods; rapeseed analysis (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlpse:v:49:y:2003:i:4:id:4104-pse

DOI: 10.17221/4104-PSE

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