期刊论文详细信息
Pesquisa Agropecuária Brasileira
Predicting rapeseed oil content with near-infrared spectroscopy
Roberta Rossato1  Cássio Egídio Cavenaghi Prete2  César De Castro2  Gilberto Omar Tomm2  Rodrigo Santos Leite2  José Marcos Gontijo Mandarino2  Pedro Mário De Araújo2  Claudio Guilherme Portela De Carvalho2 
[1] ,Universidade Estadual de Londrina Departamento de Química Londrina PR ,Brazil
关键词: Brassica napus;    NIR;    oilseed;    soxhlet;    spectral analysis;    Brassica napus;    NIR;    oleaginosa;    soxhlet;    análise espectral;   
DOI  :  10.1590/S0100-204X2013001200010
来源: SciELO
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【 摘 要 】

The objective of this work was to establish a calibration equation and to estimate the efficiency of near-infrared reflectance (NIR) spectroscopy for evaluating rapeseed oil content in Southern Brazil. Spectral data from 124 half-sib families were correlated with oil contents determined by the chemical method. The accuracy of the equation was verified by coefficient of determination (R²) of 0.92, error of calibration (SEC) of 0.78, and error of performance (SEP) of 1.22. The oil content of ten genotypes, which were not included in the calibration with NIR, was similar to the one obtained by the standard chemical method. NIR spectroscopy is adequate to differentiate oil content of rapeseed genotypes.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License

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