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| 4. |  | Rodríguez, J.P.Martinengo de Mitidieri, I.Amma, A.T.Murray, R.Daorden, M.E.Glaría, J.J.Cascardo, G.Fernández, H.L.Fernández, R.Scaglia, E.Ishikawa, A.Arroyo, A.Yommi, A.Repetto, C.A. Producción de frutilla Buenos Aires (Argentina): Instituto Nacional de Tecnología Agropecuaria; Proyecto de Diversificación Productiva , 1997. 136 p (Serie B ; 6)| Biblioteca(s): 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 : |
01/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 1 |
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Autor : |
COZZOLINO, D.; VAZ MARTINS, D.; MURRAY, I, |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL VAZ MARTINS GIGENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Animal Biology Division, Ferguson Building, Scottish Agricultural College, Craibstone State, Aberdeen AB21 9YA, UK. |
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Título : |
Visible and near infrared spectroscopy of beef longissimus dorsi muscle as a means of dicriminating between pasture and corn silage feeding regimes. |
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Fecha de publicación : |
2002 |
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Fuente / Imprenta : |
Journal of Near Infrared Spectroscopy, 2002, Volume 10, Issue 3, Pages 187-193 |
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DOI : |
10.1255/jnirs.334 |
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Idioma : |
Inglés |
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Notas : |
Article history:Received: October 09, 2001/ Accepted: May 14, 2002/Revisions received: March 19, 2002. |
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Contenido : |
Abstract:
Near infrared (NIR) reflectance spectroscopy was used as a tool to classify beef muscle samples according to their feeding regime. Seventy-eight beef longissimus dorsi muscle samples both intact and minced were scanned in a NIRS 6500 instrument (NIRSystems, MD, USA) in reflectance. A dummy regression technique was developed to differentiate beef muscle samples, which originated from beef feed exclusively on pasture or/and mainly on corn silage feeding regimes. Ninety percent of the pasture-fed beef muscle samples were correctly classified using principal component regression (PCR) and 86% of beef fed on corn silage were correctly classified. Both muscle chemical composition and physical characteristics explained the classification results. The results in the present study showed the potential of muscle optical properties for classification and traceability of meat muscles in the food chain. |
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Palabras claves : |
CORN SILAGE; MEAT; NEAR INFRARED REFLECTANCE SPECTROSCOPY; ORIGIN; PASTURES. |
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Thesagro : |
NIRS. |
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Asunto categoría : |
-- |
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Marc : |
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024 7 $a10.1255/jnirs.334$2DOI
100 1 $aCOZZOLINO, D.
245 $aVisible and near infrared spectroscopy of beef longissimus dorsi muscle as a means of dicriminating between pasture and corn silage feeding regimes.$h[electronic resource]
260 $c2002
500 $aArticle history:Received: October 09, 2001/ Accepted: May 14, 2002/Revisions received: March 19, 2002.
520 $aAbstract: Near infrared (NIR) reflectance spectroscopy was used as a tool to classify beef muscle samples according to their feeding regime. Seventy-eight beef longissimus dorsi muscle samples both intact and minced were scanned in a NIRS 6500 instrument (NIRSystems, MD, USA) in reflectance. A dummy regression technique was developed to differentiate beef muscle samples, which originated from beef feed exclusively on pasture or/and mainly on corn silage feeding regimes. Ninety percent of the pasture-fed beef muscle samples were correctly classified using principal component regression (PCR) and 86% of beef fed on corn silage were correctly classified. Both muscle chemical composition and physical characteristics explained the classification results. The results in the present study showed the potential of muscle optical properties for classification and traceability of meat muscles in the food chain.
650 $aNIRS
653 $aCORN SILAGE
653 $aMEAT
653 $aNEAR INFRARED REFLECTANCE SPECTROSCOPY
653 $aORIGIN
653 $aPASTURES
700 1 $aVAZ MARTINS, D.
700 1 $aMURRAY, I,
773 $tJournal of Near Infrared Spectroscopy, 2002, Volume 10, Issue 3, Pages 187-193
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