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| 3. |  | PEREA, C.F. Enfermedades In: MINISTERIO DE GANADERIA, AGRICULTURA Y PESCA. CENTRO DE INVESTIGACIONES AGRICOLAS "ALBERTO BOERGER" Girasol: algunos aspectos de manejo y producción. La Estanzuela, Colonia (Uruguay): CIAAB, 1986. p. 45-64 (CIAAB Miscelánea ; 64)| Biblioteca(s): INIA La Estanzuela. |
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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 : |
08/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
COZZOLINO, D.; DE MATTOS, D.; VAZ MARTINS, D. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL DE MATTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL VAZ MARTINS GIGENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Visible/near infrared reflectance spectroscopy for predicting composition and tracing system of production of beef muscle. |
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Fecha de publicación : |
2002 |
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Fuente / Imprenta : |
Animal Science, 2002, Volume 74, Issue 3, Pages 477-484. |
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DOI : |
10.1017/S1357729800052632 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 1 May 2001/Accepted 10 January 2002. |
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Contenido : |
Abstract:
Muscle chemical analysis and muscle identification both were attempted by using visible and near infrared reflectance spectroscopy (NIRS). Seventy-eight beef muscles (m. longissimus dorsi) from Hereford cattle were used. The samples were scanned in a NIRS monochromator instrument (NIRSystems 6500, Silver Spring, MD, USA) in reflectance mode (log 1/R). Both intact and minced muscle presentation to the instrument were explored. Predictive equations were made using ISI software (Infrasoft International, Port Matilda, PA, USA) and muscle identification was performed by Principal Component Analysis (PCA) and Soft Independent Modelling of Class Analogy (SIMCA). The coefficient of determination in calibration (R2 CAL) and standard error in cross validation (SECV) for the intact sample presentation were 009 (SECV: 15·6), 0·89 (SECV: 46·9), 0·48 (SECV: 23·9) for moisture (M), fat and crude protein (CP) on g/kg fresh weight basis respectively. R2CAL and SECV for minced sample presentation were 0·41 (SECV: 161), 0·92 (SECV: 43·4), 0·71 (SECV: 20·5) for M, fat and CP on g/kg fresh weight basis respectively. Qualitative analysis of optical information through PCA and SIMCA analysis showed differences in muscles resulting from two different feeding systems. |
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Palabras claves : |
BEEF; CHEMICAL COMPOSITION; COMPOSITION; CRUDE PROTEIN; FAT; HEREFORD (CATTLE BREED); INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; TRACER TECHNIQUES. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02189naa a2200277 a 4500
001 1035200
005 2019-10-08
008 2002 bl uuuu u00u1 u #d
024 7 $a10.1017/S1357729800052632$2DOI
100 1 $aCOZZOLINO, D.
245 $aVisible/near infrared reflectance spectroscopy for predicting composition and tracing system of production of beef muscle.$h[electronic resource]
260 $c2002
500 $aArticle history: Received 1 May 2001/Accepted 10 January 2002.
520 $aAbstract: Muscle chemical analysis and muscle identification both were attempted by using visible and near infrared reflectance spectroscopy (NIRS). Seventy-eight beef muscles (m. longissimus dorsi) from Hereford cattle were used. The samples were scanned in a NIRS monochromator instrument (NIRSystems 6500, Silver Spring, MD, USA) in reflectance mode (log 1/R). Both intact and minced muscle presentation to the instrument were explored. Predictive equations were made using ISI software (Infrasoft International, Port Matilda, PA, USA) and muscle identification was performed by Principal Component Analysis (PCA) and Soft Independent Modelling of Class Analogy (SIMCA). The coefficient of determination in calibration (R2 CAL) and standard error in cross validation (SECV) for the intact sample presentation were 009 (SECV: 15·6), 0·89 (SECV: 46·9), 0·48 (SECV: 23·9) for moisture (M), fat and crude protein (CP) on g/kg fresh weight basis respectively. R2CAL and SECV for minced sample presentation were 0·41 (SECV: 161), 0·92 (SECV: 43·4), 0·71 (SECV: 20·5) for M, fat and CP on g/kg fresh weight basis respectively. Qualitative analysis of optical information through PCA and SIMCA analysis showed differences in muscles resulting from two different feeding systems.
653 $aBEEF
653 $aCHEMICAL COMPOSITION
653 $aCOMPOSITION
653 $aCRUDE PROTEIN
653 $aFAT
653 $aHEREFORD (CATTLE BREED)
653 $aINFRARED SPECTROSCOPY
653 $aPRINCIPAL COMPONENT ANALYSIS
653 $aTRACER TECHNIQUES
700 1 $aDE MATTOS, D.
700 1 $aVAZ MARTINS, D.
773 $tAnimal Science, 2002, Volume 74, Issue 3, Pages 477-484.
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