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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
07/07/2020 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
VÁZQUEZ, D.; WILLIAMS, P.C.; WATTS, B. |
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Afiliación : |
DANIEL VÁZQUEZ PEYRONEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
NIR spectroscopy as a tool for quality screening. |
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Fecha de publicación : |
2007 |
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Fuente / Imprenta : |
ln: International Wheat Conference, 7., 27 Nov-2 Dec 2005, Mar del Plata, AR Buck, H.T.; Nisi, J.E.; Salomón, N., ed. Wheat production in stressed environments : proceedings. Dordrecht: Springer, 2007. |
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Páginas : |
p. 527-533 |
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Serie : |
(Developments in Plant Breeding ; 12) |
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Idioma : |
Inglés |
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Notas : |
Donación S. Germán, 2007 |
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Contenido : |
Abstract: Simplicity of sample preparation, rapidity of the whole analytical procedure and small sample size requirements make near-infrared spectroscopy (NIRS) a very attractive tool for quality screening in wheat breeding programs. Although good results have been achieved for protein content, limited results have been obtained for other quality components such as protein functionality. The suitability of this technology to measure different quality components was studied using different sets of Uruguayan wheat samples n = 73–470#4;. Reference methods included protein composition, hardness, rheological variables and baking tests. Whole and ground wheat grain, and white flour samples were scanned with a Foss (NIRSystem) Model 6500 spectrophotometer. Differences among several math pretreatments for derivatives, gap and segment (smoothing) were
not critical to the quality of the calibration. Results were best when flour was scanned, but were also acceptable using ground wheat and even whole grain. Increasing the size of the scanned sample did not improve results, however duplicating the NIR spectra resulted in better calibrations. Calibration equations obtained were suitable to determine three independent quality components in one simple and fast operation, although with
different accuracies. Protein content was predicted with accuracy similar to that of the reference method (standard error of prediction = SEP = 0.16%; coefficient of determination = r2 = 0#5;99). Hardness calibration was successful only with the ground sample (SEP < 2%#6; r2 = 0#5;85). Results obtained for protein functionality variables had lower coefficients of determination but were sufficient for screening breeding lines. Coefficients of determination of calibration sets for the variables alveogram extensibility (L), MenosAbstract: Simplicity of sample preparation, rapidity of the whole analytical procedure and small sample size requirements make near-infrared spectroscopy (NIRS) a very attractive tool for quality screening in wheat breeding programs. Although good results have been achieved for protein content, limited results have been obtained for other quality components such as protein functionality. The suitability of this technology to measure different quality components was studied using different sets of Uruguayan wheat samples n = 73–470#4;. Reference methods included protein composition, hardness, rheological variables and baking tests. Whole and ground wheat grain, and white flour samples were scanned with a Foss (NIRSystem) Model 6500 spectrophotometer. Differences among several math pretreatments for derivatives, gap and segment (smoothing) were
not critical to the quality of the calibration. Results were best when flour was scanned, but were also acceptable using ground wheat and even whole grain. Increasing the size of the scanned sample did not improve results, however duplicating the NIR spectra resulted in better calibrations. Calibration equations obtained were suitable to determine three independent quality components in one simple and fast operation, although with
different accuracies. Protein content was predicted with accuracy similar to that of the reference method (standard error of prediction = SEP = 0.16%; coefficient of determination = r2 = 0#5;99). Hardness cali... Presentar Todo |
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Palabras claves : |
NIR (NEAR INFRARED REFLECTANCE); QUALITY. |
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Thesagro : |
ESPECTROSCOPIA INFRARROJA; FITOMEJORAMIENTO; INSPECCIÓN DE CALIDAD; TRITICUM. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02684naa a2200253 a 4500
001 1048187
005 2020-07-07
008 2007 bl uuuu u00u1 u #d
100 1 $aVÁZQUEZ, D.
245 $aNIR spectroscopy as a tool for quality screening.
260 $c2007
300 $ap. 527-533
490 $a(Developments in Plant Breeding ; 12)
500 $aDonación S. Germán, 2007
520 $aAbstract: Simplicity of sample preparation, rapidity of the whole analytical procedure and small sample size requirements make near-infrared spectroscopy (NIRS) a very attractive tool for quality screening in wheat breeding programs. Although good results have been achieved for protein content, limited results have been obtained for other quality components such as protein functionality. The suitability of this technology to measure different quality components was studied using different sets of Uruguayan wheat samples n = 73–470#4;. Reference methods included protein composition, hardness, rheological variables and baking tests. Whole and ground wheat grain, and white flour samples were scanned with a Foss (NIRSystem) Model 6500 spectrophotometer. Differences among several math pretreatments for derivatives, gap and segment (smoothing) were not critical to the quality of the calibration. Results were best when flour was scanned, but were also acceptable using ground wheat and even whole grain. Increasing the size of the scanned sample did not improve results, however duplicating the NIR spectra resulted in better calibrations. Calibration equations obtained were suitable to determine three independent quality components in one simple and fast operation, although with different accuracies. Protein content was predicted with accuracy similar to that of the reference method (standard error of prediction = SEP = 0.16%; coefficient of determination = r2 = 0#5;99). Hardness calibration was successful only with the ground sample (SEP < 2%#6; r2 = 0#5;85). Results obtained for protein functionality variables had lower coefficients of determination but were sufficient for screening breeding lines. Coefficients of determination of calibration sets for the variables alveogram extensibility (L),
650 $aESPECTROSCOPIA INFRARROJA
650 $aFITOMEJORAMIENTO
650 $aINSPECCIÓN DE CALIDAD
650 $aTRITICUM
653 $aNIR (NEAR INFRARED REFLECTANCE)
653 $aQUALITY
700 1 $aWILLIAMS, P.C.
700 1 $aWATTS, B.
773 $tln: International Wheat Conference, 7., 27 Nov-2 Dec 2005, Mar del Plata, AR Buck, H.T.; Nisi, J.E.; Salomón, N., ed. Wheat production in stressed environments : proceedings. Dordrecht: Springer, 2007.
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