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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
22/11/2016 |
Actualizado : |
22/11/2016 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
COZZOLINO, D.; FASSIO, A.; RESTAINO, E.; FERNANDEZ, E.; LA MANNA, A. |
Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALBERTO SANTIAGO FASSIO ARAUJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ERNESTO ANGEL RESTAINO GALUP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Verification of silage type using near-infrared spectroscopy combined with multivariate analysis. |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
Journal of Agricultural and Food Chemistry, 2008, v. 56, no.1, p.79-83. |
DOI : |
10.1021/jf072566d |
Idioma : |
Inglés |
Notas : |
Received 28 August 2007 // Date accepted 8 November 2007 // Published online 27 November 2007 // Published in print 1 January 2008. |
Contenido : |
ABSTRACT.
The ability to authenticate the feed given to animals has become a major challenge in animal production, where the diet fed to the animal is one of the most important production factors affecting the composition of milk and meat from cattle, sheep, and goats. Hence, there is currently an increased consumer demand for information on herbivore production factors and particularly the animal diet. The aim of this study was to evaluate the reliability and accuracy of near-infrared (NIR) reflectance spectroscopy as a tool to verify and authenticate the type of silage used as fed for ruminants. Grain silage (GrS, n ) 94), grass and legume silage (GLegS, n ) 121), and sunflower silage (SunS, n ) 50) samples were collected from commercial farms and analyzed in the visible and NIR regions (400-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA),
partial least-squares discriminant analysis (PLS1-DA), and linear discriminant analysis (LDA) models ere used as methods to verify the different silage types. The classification models based on the NIR data correctly classified more than 90% of the silage samples according to their type. The results from this study showed that NIR spectra combined with multivariate analysis could be used as a tool to objectively authenticate silage samples used as a feed for ruminants.
© 2008 American Chemical Society |
Palabras claves : |
IDENTIFICATION; LINEAR DISCRIMINANT ANALYSIS; NEAR-INFRARED SPECTROSCOPY; PARTIAL LEAST-SQUARES DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SILAGE. |
Asunto categoría : |
-- |
Marc : |
LEADER 02371naa a2200265 a 4500 001 1056114 005 2016-11-22 008 2008 bl uuuu u00u1 u #d 024 7 $a10.1021/jf072566d$2DOI 100 1 $aCOZZOLINO, D. 245 $aVerification of silage type using near-infrared spectroscopy combined with multivariate analysis.$h[electronic resource] 260 $c2008 500 $aReceived 28 August 2007 // Date accepted 8 November 2007 // Published online 27 November 2007 // Published in print 1 January 2008. 520 $aABSTRACT. The ability to authenticate the feed given to animals has become a major challenge in animal production, where the diet fed to the animal is one of the most important production factors affecting the composition of milk and meat from cattle, sheep, and goats. Hence, there is currently an increased consumer demand for information on herbivore production factors and particularly the animal diet. The aim of this study was to evaluate the reliability and accuracy of near-infrared (NIR) reflectance spectroscopy as a tool to verify and authenticate the type of silage used as fed for ruminants. Grain silage (GrS, n ) 94), grass and legume silage (GLegS, n ) 121), and sunflower silage (SunS, n ) 50) samples were collected from commercial farms and analyzed in the visible and NIR regions (400-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), partial least-squares discriminant analysis (PLS1-DA), and linear discriminant analysis (LDA) models ere used as methods to verify the different silage types. The classification models based on the NIR data correctly classified more than 90% of the silage samples according to their type. The results from this study showed that NIR spectra combined with multivariate analysis could be used as a tool to objectively authenticate silage samples used as a feed for ruminants. © 2008 American Chemical Society 653 $aIDENTIFICATION 653 $aLINEAR DISCRIMINANT ANALYSIS 653 $aNEAR-INFRARED SPECTROSCOPY 653 $aPARTIAL LEAST-SQUARES DISCRIMINANT ANALYSIS 653 $aPRINCIPAL COMPONENT ANALYSIS 653 $aSILAGE 700 1 $aFASSIO, A. 700 1 $aRESTAINO, E. 700 1 $aFERNANDEZ, E. 700 1 $aLA MANNA, A. 773 $tJournal of Agricultural and Food Chemistry, 2008$gv. 56, no.1, p.79-83.
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1. | | QUEZADA, M.; PASTINA, M.M.; RAVEST, G.; SILVA, P.; VIGNALE, B.; CABRERA, D.; HINRICHSEN, P.; GARCÍA, A.A.F.; PRITSCH, C. A first genetic map of Acca sellowiana based on ISSR, AFLP and SSR markers. Scientia Horticulturae, 2014, v.169, no.2, p. 138-146. Article history: Received 13 May 2013 / Received in revised form 24 January 2014 / Accepted 12 February 2014 / Available online 14 March 2014.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : A - 2 |
Biblioteca(s): INIA Las Brujas. |
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2. | | PRITSCH, C.; MAZZELLA, C.; QUEZADA, M.; DA CRUZ, I.; VÁZQUEZ, S.; GAIERO, P.; VAIO, M.; SILVA, P.; BACCINO, E.; LOMBARDO, P.; HINRICHSEN, P.; GARCIA, A.A.F.; CABRERA, D.; VIGNALE, B. Avances en estudios genómicos en guayabo del país (Acca sellowiana). In: INIA, Programa Nacional Investigación Producción Frutícola; Universidad de la República (UdelaR), Facultad de Agronomía; MGAP, DGF (Dirección General Forestal). Encuentro Nacional de Frutos Nativos, 6. Canelones (Uruguay): INIA, 2012. p.16-22 (INIA Serie Actividades de Difusión; 679)Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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3. | | PRITSCH, C.; QUEZADA, M.; GARCÍA, A.A.F.; ÁLVAREZ, M.; MACHADO, G.; BERNAL, J.; CAZZULLO, Y.; MALOSETTI, M.; ZÁCCARI, F.; RIVAS, M.; CABRERA, D.; VIGNALE, B. Caracterización genética del Guayabo del País. In: INIA (Instituto Nacional de Investigación Agropecuaria), Programa Nacional Producción Frutícola. 7° Encuentro Nacional sobre Frutos Nativos. Colonia (UY): INIA, 2015. p. 53-58 (INIA Serie Actividades de Difusión; 745)Biblioteca(s): INIA Las Brujas. |
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4. | | PRITSCH, C.; QUEZADA, M.; GARCÍA, A.A.F.; ÁLVAREZ, M.; MACHADO, G.; BERNAL, J.; CAZZULO, Y.; MALOSETTI, M.; ZÁCCARI, F.; RIVAS, M.; CABRERA, D.; VIGNALE, B. Caracterización genética del guayabo del país. [Presentación oral] In: UNIVERSIDAD DE LA REPÚBLICA (UDELAR)/ FACULTAD DE AGRONOMÍA; MGAP/ DGF (DIRECCIÓN GENERAL FORESTAL); INIA, PROGRAMA NACIONAL PRODUCCIÓN FRUTÍCOLA. 7° Encuentro Nacional sobre Frutos Nativos. Colonia: Estación Experimental "Alberto Boerger", INIA La Estanzuela, 9 y 10 de abril de 2015.Tipo: Presentaciones Orales |
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5. | | QUEZADA, M.; AMADEU, R. R.; VIGNALE, B.; CABRERA, D.; PRITSCH, C.; GARCIA, A. A. F. Construction of a high-density genetic map of Acca sellowiana (Berg.) Burret, an outcrossing species, based on two connected mapping populations. Original Research Article. Frontiers in Plant Science, 23 February 2021, Volume 12, Article number 626811. OPEN ACCESS. Doi: https://doi.org/10.3389/fpls.2021.626811 Article history: Received: 06 November 2020; Accepted: 12 January 2021; Published: 23 February 2021.
Edited by: Maria Luisa Badenes, Instituto Valenciano de Investigaciones Agrarias, Spain.
Reviewed by: Shouvik Das, Indian Agricultural...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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6. | | QUEZADA, M.; PRITSCH, C.; VIGNALE, B.; CABRERA, D.; GARCÍA, A.A.F. Primer reporte de la construcción de un mapa genético en Acca sellowiana (Berg.) Burret empleando genotyping by sequencing. MV 38 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 299Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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7. | | PRITSCH, C.; QUEZADA, M.; VAZQUEZ, S.; MAZZELLA, C.; VAIO, M.; VIGNALE, B.; CABRERA, D.; GARCÍA, A.A.F. Progresos en la caracterización del genoma de Acca sellowiana (Berg.) Burret. 1 - SIMPOSIOS "GENÉTICA Y GENÓMICA DE FRUTALES" In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016. p. 56-57Tipo: Trabajos en Congresos/Conferencias |
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