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| 2. |  | Actis, J.J. La producción ovina en Argentina ln: Reunión sobre Investigación en Producción ovina de la zona sur, 1 : 1979 May 21-25 : Montevideo Caballero Delpino, H. ; Cardellino, R.C. (eds). Producción e investigación ovina en Argentina, Brasil, Chile, Paraguay y Uruguay. Montevideo (Uruguay): IICA ; SUL, 1979. 349p. Informes de Conferencias, cursos y reuniones (IICA)| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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| 3. | | Actis, J.J. Situación actual sobre sistemas en Argentina ln: Puignau, J.P. Maiz : sistemas de producción. Montevideo (Uruguay): IICA-PROCISUR, 1995. p131-134 (IICA-PROCISUR. Diálogo, 43) Contiene : trabajos presentados en el Seminario sobre Sistemas de Producción con el Cultivo de maiz, 1990 ago 6-10 : Colonia| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Salto Grande. |
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| 4. | | Actis, J.J. Sistemas de producción : breve análisis y propuesta ln: Puignau, J.P. El enfoque de sistemas en la investigación agropecuaria. Montevideo (Uruguay): IICA-PROCISUR, 1990. p17-19 (IICA-PROCISUR. Diálogo, 29) Instituto Interamericano de Cooperación para la Agricultura (IICA). Programa Cooperativo para el Desarrollo Tecnológico Agropecuario del Cono Sur (PROCISUR)| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Salto Grande; INIA Tacuarembó. |
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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 : |
25/09/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
COZZOLINO, D.; VADELL, A.; BALLESTEROS, F; GALIETTA, G.; BARLOCCO, N. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. VADELL, Cátedra de Suinos, Centro Regional Sur, Facultad de AgronomíaUniversidad de la República, UDELARMontevideoUruguay; F BALLESTEROS, Unidad Tecnología de los Alimentos, Facultad de Agronomía.Universidad de la República, UDELAR.Montevideo.Uruguay.; GIOVANNI GALIETTA, Unidad Tecnología de los Alimentos, Facultad de Agronomía.Universidad de la República, UDELAR.Montevideo.Uruguay.; N BARLOCCO, Cátedra de Suinos, Centro Regional Sur, Facultad de Agronomía Universidad de la República, UDELAR Montevideo Uruguay. |
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Título : |
Combining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay: A feasibility study. |
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Fecha de publicación : |
2006 |
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Fuente / Imprenta : |
Analytical and Bioanalytical Chemistry, July 2006, Volume 385, Issue 5, Pages 931-936. |
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DOI : |
10.1007/s00216-006-0483-5 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 16 January 2006 / Revised: 6 March 2006 / Accepted: 7 April 2006 / Published online: 12 May 2006. |
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Contenido : |
Abstract
Visible (Vis) and near-infrared reflectance (NIR) spectroscopy combined with chemometrics was explored as a tool to trace muscles from autochthonous and crossbreed pigs from Uruguay. Muscles were sourced from two breeds, namely, the Pampa-Rocha (PR) and the Pampa-Rocha x Duroc (PRxD) crossbreed. Minced muscles were scanned in the Vis and NIR regions (400?2,500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), discriminant partial least square regression (DPLS), linear discriminant analysis (LDA) based on PCA scores and soft independent modelling of class analogy (SIMCA) were used to identify the origin of the muscles based on Vis and NIR data. Full cross validation was used as validation method when classification models were developed. DPLS correctly classified 87% of PR and 78% of PRxD muscle samples. LDA calibration models correctly classified 87 and 67% of muscles as PR and PRxD, respectively. SIMCA correctly classified 100% of PR muscles. The results demonstrated the usefulness of Vis and NIR spectra combined with chemometrics as rapid method for authentication and identification of muscles according to the breed of pig. |
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Palabras claves : |
LINEAR DISCRIMINANT ANALYSIS; NEAR-INFRARED SPECTROSCOPY; PIG MUSCLES; PRINCIPAL COMPONENT ANALYSIS; TRACEABILITY. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02152naa a2200253 a 4500
001 1049590
005 2019-09-25
008 2006 bl uuuu u00u1 u #d
024 7 $a10.1007/s00216-006-0483-5$2DOI
100 1 $aCOZZOLINO, D.
245 $aCombining visible and near-infrared spectroscopy with chemometrics to trace muscles from an autochthonous breed of pig produced in Uruguay$bA feasibility study.
260 $c2006
500 $aArticle history: Received: 16 January 2006 / Revised: 6 March 2006 / Accepted: 7 April 2006 / Published online: 12 May 2006.
520 $aAbstract Visible (Vis) and near-infrared reflectance (NIR) spectroscopy combined with chemometrics was explored as a tool to trace muscles from autochthonous and crossbreed pigs from Uruguay. Muscles were sourced from two breeds, namely, the Pampa-Rocha (PR) and the Pampa-Rocha x Duroc (PRxD) crossbreed. Minced muscles were scanned in the Vis and NIR regions (400?2,500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), discriminant partial least square regression (DPLS), linear discriminant analysis (LDA) based on PCA scores and soft independent modelling of class analogy (SIMCA) were used to identify the origin of the muscles based on Vis and NIR data. Full cross validation was used as validation method when classification models were developed. DPLS correctly classified 87% of PR and 78% of PRxD muscle samples. LDA calibration models correctly classified 87 and 67% of muscles as PR and PRxD, respectively. SIMCA correctly classified 100% of PR muscles. The results demonstrated the usefulness of Vis and NIR spectra combined with chemometrics as rapid method for authentication and identification of muscles according to the breed of pig.
653 $aLINEAR DISCRIMINANT ANALYSIS
653 $aNEAR-INFRARED SPECTROSCOPY
653 $aPIG MUSCLES
653 $aPRINCIPAL COMPONENT ANALYSIS
653 $aTRACEABILITY
700 1 $aVADELL, A.
700 1 $aBALLESTEROS, F
700 1 $aGALIETTA, G.
700 1 $aBARLOCCO, N.
773 $tAnalytical and Bioanalytical Chemistry, July 2006, Volume 385, Issue 5, Pages 931-936.
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