<b>Predicting the oil contents in sunflower genotype seeds using near-infrared reflectance (NIR) spectroscopy

Abstract

ABSTRACT. The aim of this experiment was to calibrate the NIR spectroscopy equation to evaluate the oil content of sunflower seeds from different genotypes produced under different environmental conditions in Brazil. The spectra of 901 standard samples obtained from 88 hybrids and 116 lines, which were evaluated in 11 locations, were collected from intact seeds (achenes) and correlated with data generated by nuclear magnetic resonance analysis. The calibration was determined by linear regression using partial least squares to estimate the parameters. The goodness of fit was evaluated using the coefficient of determination (R 2 ), standard error of calibration (SEC) and the standard error of performance (SEP). The wavelengths ranging from 1319 to 1760 nm were selected for the calibration. The R 2 was 0.87, the SEC was 2.39, and the SEP was 1.97. The oil content values obtained for the 19 hybrid seeds analyzed by NIR spectroscopy that were not included in the calibration were similar to the values obtained using the chemical method. The similarities between the values obtained using both methods and the R 2 , SEC and SEP values indicated that it is possible to establish a calibration equation using NIR spectroscopy to determine the oil contents of sunflower seeds produced under Brazilian field conditions. Keywords: Helianthus annuus, intact seed, spectral analysis.Predição do teor de óleo em sementes de genótipos de girassol por espectroscopia no infravermelho próximo (NIR) RESUMO. O objetivo desse trabalho foi estabelecer uma equação de calibração pela análise da espectroscopia de NIR para a avaliação dos teores de óleo em sementes de genótipos de girassol obtidas em condições ambientais brasileiras. Os espectros de 901 amostras padrões, provenientes de 88 híbridos e 116 linhagens avaliados em 11 localidades, foram coletados de aquênios intactos e correlacionados com os valores de óleo obtidos por análise de ressonância magnética nuclear. A equação de calibração foi determinada por regressão linear, cujos parâmetros foram estimados pelo método de mínimos quadrados parciais. A precisão foi verificada pelo coeficiente de determinação (R 2 ), erro padrão de calibração (SEC) e pelo erro padrão de desempenho (SEP). A região de comprimento de onda entre 1319 e 1760 nm foi selecionada para a calibração. O R 2 foi 0,87, o SEC foi 2,39 e o SEP foi de 1,97. Adicionalmente, a análise do teor de óleo pelo NIR de 19 híbridos não incluídos na calibração foi similar aos valores obtidos no método químico padrão. Esta similaridade e os valores de R 2 , SEC e SEP possibilitaram inferir que é possível estabelecer uma equação de calibração pela espectroscopia de NIR para a avaliação do teor de óleo em sementes de genótipos de girassol cultivados em condições ambientais brasileiras. Palavras-chave:Helianthus annuus, sementes intactas, análise spectral.

Moisture sorption isotherms of sunflower seeds: Thermodynamic analysis

“…The seeds have an oil yield between 48 and 52%. The oil has high content of unsaturated fatty acids, linoleic (63.71%), oleic (24.43%), palmitic (6.80%), stearic (2.96%) and linolenic (0.49%) (Grunvald et al, 2014;Lustri et al, 2017).…”

Grouping sunflower genotypes for yield, oil content, and reaction to Alternaria leaf spot using GGE biplot

“…Plants were harvested individually, after physiological maturity stage (R9) (Schneiter & Miller, 1981), and yield (kg ha -1 ) was evaluated at 11% humidity. Oil content (%) was predicted by NIR spectroscopy (Grunvald et al, 2014).…”

Quantification of Oil Content in Intact Sugar Beet Seed by Near-Infrared Spectroscopy

“…Non-destructive successful NIR applications to measure oil in seed have been published so far for several oilseed crops [11,[28][29][30][31]. Those cultivars are grown primarily for their rich seed oil content, which ranges from about 20% of the seed weight for soybeans to over 40% for sunflower and rapeseed.…”