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

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Autore principale: Anna Karolina Grunvald
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidade Estadual de Maringá 2014
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author Anna Karolina Grunvald
author_facet Anna Karolina Grunvald
contents Predicting the oil contents in sunflower genotype seeds using near-infrared reflectance (NIR) spectroscopy Anna Karolina Grunvald Claudio Guilherme Portela de Carvalho Rodrigo Santos Leite José Marcos Gontijo Mandarino Carlos Alberto de Bastos Andrade Carlos Alberto Scapim Agrociencias Keywords intact seed Helianthus annuus spectral analysis 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 wa s 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 chemic al 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. 2014 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303030420013 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.2 Vol.36
format Artículo científico
id redalyc_303030420013
institution Redalyc
language en
publishDate 2014
publisher Universidade Estadual de Maringá
spellingShingle Predicting the oil contents in sunflower genotype seeds using near-infrared reflectance (NIR) spectroscopy
Anna Karolina Grunvald
Agrociencias
Keywords
intact seed
Helianthus annuus
spectral analysis
Predicting the oil contents in sunflower genotype seeds using near-infrared reflectance (NIR) spectroscopy Anna Karolina Grunvald Claudio Guilherme Portela de Carvalho Rodrigo Santos Leite José Marcos Gontijo Mandarino Carlos Alberto de Bastos Andrade Carlos Alberto Scapim Agrociencias Keywords intact seed Helianthus annuus spectral analysis 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 wa s 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 chemic al 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. 2014 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303030420013 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Num.2 Vol.36
title Predicting the oil contents in sunflower genotype seeds using near-infrared reflectance (NIR) spectroscopy
topic Agrociencias
Keywords
intact seed
Helianthus annuus
spectral analysis
url https://www.redalyc.org/articulo.oa?id=303030420013