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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
21/02/2014 |
Actualizado : |
30/09/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
COZZOLINO, D.; MORON, A. |
Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DAVID ALEJANDRO MORON YACOEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Exploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes. |
Fecha de publicación : |
2004 |
Fuente / Imprenta : |
Animal Feed Science and Technology, Volume 111, Issues 1?4, 12 January 2004, Pages 161-173. |
DOI : |
10.1016/j.anifeedsci.2003.08.001 |
Idioma : |
Inglés |
Notas : |
Article history: Received 28 January 2003 / Received in revised form 23 July 2003 / Accepted 5 August 2003. |
Contenido : |
Abstract:
The use of near infrared reflectance spectroscopy (NIRS) was explored to predict trace mineral concentrations in two legumes. Samples (332), composite of white clover (n=97) and lucerne (n=235), from different locations in Uruguay representing a wide range of soil types, were analysed for sodium (Na), sulphur (S), copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), and boron (B). The samples were scanned in reflectance in a monochromator instrument (400?2500 nm). Calibration models (n=262) were developed using modified partial least squares regression (MPLS) based on cross-validation and tested using a validation set (n=70). Two mathematical treatments of the spectra were compared (first and second derivative). The highest coefficients of determination in calibration (RCAL2) and the lowest standard errors of cross-validation (SECV) were obtained using second derivative. The RCAL2 and SECV were 0.83 (SECV: 0.8) for Na and 0.86 (SECV: 2.5) for S in g kg?1 DM; 0.80 (SECV: 4.4), 0.80 (SECV: 10.6), 0.78 (SECV: 22.9), 0.76 (SECV: 0.83) and 0.57 (SECV 25.7) for B, Zn, Mn, Cu and Fe in mg kg?1 DM on a dry weight, respectively. Sulphur (SEP: 5.5), sodium (SEP: 1.2) and boron (SEP 4.2) were well predicted by NIRS on a validation set. |
Palabras claves : |
LEGUMES FORAGE QUALITY; NIRS; PARTIAL LEAST SQUARES; TRACE MINERALS. |
Asunto categoría : |
-- |
Marc : |
LEADER 02004naa a2200205 a 4500 001 1049567 005 2019-09-30 008 2004 bl uuuu u00u1 u #d 024 7 $a10.1016/j.anifeedsci.2003.08.001$2DOI 100 1 $aCOZZOLINO, D. 245 $aExploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes. 260 $c2004 500 $aArticle history: Received 28 January 2003 / Received in revised form 23 July 2003 / Accepted 5 August 2003. 520 $aAbstract: The use of near infrared reflectance spectroscopy (NIRS) was explored to predict trace mineral concentrations in two legumes. Samples (332), composite of white clover (n=97) and lucerne (n=235), from different locations in Uruguay representing a wide range of soil types, were analysed for sodium (Na), sulphur (S), copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), and boron (B). The samples were scanned in reflectance in a monochromator instrument (400?2500 nm). Calibration models (n=262) were developed using modified partial least squares regression (MPLS) based on cross-validation and tested using a validation set (n=70). Two mathematical treatments of the spectra were compared (first and second derivative). The highest coefficients of determination in calibration (RCAL2) and the lowest standard errors of cross-validation (SECV) were obtained using second derivative. The RCAL2 and SECV were 0.83 (SECV: 0.8) for Na and 0.86 (SECV: 2.5) for S in g kg?1 DM; 0.80 (SECV: 4.4), 0.80 (SECV: 10.6), 0.78 (SECV: 22.9), 0.76 (SECV: 0.83) and 0.57 (SECV 25.7) for B, Zn, Mn, Cu and Fe in mg kg?1 DM on a dry weight, respectively. Sulphur (SEP: 5.5), sodium (SEP: 1.2) and boron (SEP 4.2) were well predicted by NIRS on a validation set. 653 $aLEGUMES FORAGE QUALITY 653 $aNIRS 653 $aPARTIAL LEAST SQUARES 653 $aTRACE MINERALS 700 1 $aMORON, A. 773 $tAnimal Feed Science and Technology, Volume 111, Issues 1?4, 12 January 2004, Pages 161-173.
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33. | | GARCIA, J.A.; FORMOSO, F.; REBUFFO, M.; COLL, J. Variedades forrajeras I. Colonia (Uruguay): CIAAB, 1983. 39 p. (CIAAB Miscelánea; 55) En esta publicación se pretende, en primer lugar, resumir toda la información que La Estanzuela ha acumulado en sus experimentos de evaluación comparativa de cultivares forrajeros en los últimos años. En segundo lugar, y teniendo en...Biblioteca(s): INIA La Estanzuela. |
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35. | | INIA LA ESTANZUELA; GARCIA, J.A.; REBUFFO, M.; FORMOSO, F.; REAL, D.; RESTAINO, E. Forrajeras y producción de semilla fina. JORNADA, NOVIEMBRE, LA ESTANZUELA, COLONIA, URUGUAY,1992. Colonia (Uruguay): INIA , 1990. 27 p.Biblioteca(s): INIA Tacuarembó. |
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39. | | GARCÍA, J.A.; LIVIO, J.M.; MATTO, C.; DUTRA, F.; SCIOLI, V.; GIANNITTI, F.; LANGSTON, J.; POPPENGA, R.H.; CANTÓN, G.J.; UZAL, F.A. Pollen beetle (Astylus atromaculatus)-associated gastroenteric disease in cattle: report of 6 natural outbreaks. Full Scientific Report. Journal of Veterinary Diagnostic Investigation, 2024, Volume 36, Issue 1, Pages 95-102. https://doi.org/10.1177/10406387231215756 Article history: Article first published online: November 29, 2023; Issue published: January 2024. -- Correspondence: Uzal, F.A.; California Animal Health and Food Safety Laboratory, San Bernardino branches, School of Veterinary Medicine,...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
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