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Registros recuperados : 74 | |
18. | | COZZOLINO, D.; MURRAY, I. Effect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy. Journal of Near Infrared Spectroscopy, 2002, Volume 10, Issue 1, Pages 37-44. Article history: Issue published: January 1, 2002/Received: April 05, 2001; Accepted: October 02, 2001/ Revisions received: July 06, 2001.Biblioteca(s): INIA La Estanzuela. |
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Registros recuperados : 74 | |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
21/02/2014 |
Actualizado : |
30/09/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
B - 1 |
Autor : |
MORON, A.; COZZOLINO, D. |
Afiliación : |
DAVID ALEJANDRO MORON YACOEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Determination of macro elements in alfalfa and white clover by near-infrared reflectance spectroscopy. |
Fecha de publicación : |
2002 |
Fuente / Imprenta : |
Journal of Agricultural Science, December 2002, Volume 139, Issue 4, pages 413-423. |
DOI : |
10.1017/S0021859602002605 |
Idioma : |
Inglés |
Notas : |
Article history: Revised MS received 19 August 2002. |
Contenido : |
Summary: Near-infrared reflectance spectroscopy was used to assess the mineral composition of both alfalfa (Medicago sativa L.) and white clover (Trifolium repens L.). Alfalfa (n=230) and white clover (n=97) plant samples from different locations in Uruguay representing a wide range of soil types were analysed. The samples were scanned for reflectance in a NIRSystems 6500 monochromator (NIRSystems, Silver Spring, MD, USA). Predictive equations were developed using modified partial least squares (MPLS) with cross validation to avoid overfitting. The coefficients of determination in calibration (R_{\rm cal}^{2}) and the standard errors in cross validation (SECV) were 0·93 (SECV: 1·6), 0·95 (SECV: 1·3), 0·93 (SECV: 1·9), 0·88 (SECV: 2·7), 0·82 (SECV: 0·3) and 0·75 (SECV: 4·7) for alfalfa and 0·98 (SECV: 0·8), 0·52 (SECV: 0·8), 0·97 (SECV: 2·7), 0·83 (SECV: 3·1), 0·82 (SECV: 1·9) and 0·45 (SECV: 2·6) for white clover, for N, Ca, K, P, Mg and S in g/kg on a dry weight respectively. Calcium, nitrogen and potassium were well predicted by NIRS in both alfalfa and white clover samples. |
Palabras claves : |
MAGNESIUM; MINERAL CONTENT. |
Thesagro : |
CALCIUM; MEDICAGO SATIVA; NIRS; POTASSIUM. |
Asunto categoría : |
F01 Cultivo |
Marc : |
LEADER 01852naa a2200229 a 4500 001 1035490 005 2019-09-30 008 2002 bl uuuu u00u1 u #d 024 7 $a10.1017/S0021859602002605$2DOI 100 1 $aMORON, A. 245 $aDetermination of macro elements in alfalfa and white clover by near-infrared reflectance spectroscopy.$h[electronic resource] 260 $c2002 500 $aArticle history: Revised MS received 19 August 2002. 520 $aSummary: Near-infrared reflectance spectroscopy was used to assess the mineral composition of both alfalfa (Medicago sativa L.) and white clover (Trifolium repens L.). Alfalfa (n=230) and white clover (n=97) plant samples from different locations in Uruguay representing a wide range of soil types were analysed. The samples were scanned for reflectance in a NIRSystems 6500 monochromator (NIRSystems, Silver Spring, MD, USA). Predictive equations were developed using modified partial least squares (MPLS) with cross validation to avoid overfitting. The coefficients of determination in calibration (R_{\rm cal}^{2}) and the standard errors in cross validation (SECV) were 0·93 (SECV: 1·6), 0·95 (SECV: 1·3), 0·93 (SECV: 1·9), 0·88 (SECV: 2·7), 0·82 (SECV: 0·3) and 0·75 (SECV: 4·7) for alfalfa and 0·98 (SECV: 0·8), 0·52 (SECV: 0·8), 0·97 (SECV: 2·7), 0·83 (SECV: 3·1), 0·82 (SECV: 1·9) and 0·45 (SECV: 2·6) for white clover, for N, Ca, K, P, Mg and S in g/kg on a dry weight respectively. Calcium, nitrogen and potassium were well predicted by NIRS in both alfalfa and white clover samples. 650 $aCALCIUM 650 $aMEDICAGO SATIVA 650 $aNIRS 650 $aPOTASSIUM 653 $aMAGNESIUM 653 $aMINERAL CONTENT 700 1 $aCOZZOLINO, D. 773 $tJournal of Agricultural Science, December 2002, Volume 139, Issue 4, pages 413-423.
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