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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 : |
08/10/2019 |
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 : |
Exploring the use of near infrared reflectance spectroscopy to study physical properties and microelements in soils. |
Fecha de publicación : |
2003 |
Fuente / Imprenta : |
Journal of Near Infrared Spectroscopy, 2003, Volume 11, Issue 2, Pages 145-154. |
DOI : |
10.1255/jnirs.362 |
Idioma : |
Inglés |
Notas : |
Article history: |
Contenido : |
Abstract.
Near infrared (NIR) reflectance spectroscopy was used to predict the content of silt, sand, clay, iron (Fe), copper (Cu), manganese (Mn) and zinc (Zn) in soil. A total of 332 samples from agricultural soils (0?15 cm depth) in Uruguay (South America) were used. The samples were scanned in a monochromator instrument (NIRSystems 6500, Silver Spring, MD, USA). Two mathematical treatments (first and second derivative) with SNVD (scatter normal variate and detrend) and without scatter correction were studied. Modified partial least squares (mPLS) was used to develop the calibration models. The coefficient of determination in calibration (R2cal) and the standard error in calibration (SEC) using the second derivative were 0.81 (SEC: 5.1), 0.83 (SEC: 5.3), 0.92 (SEC: 2.6) for percent sand, silt and clay, respectively. The R2cal and standard error of cross-validation (SECV) were for Cu 0.87 (SEC: 0.7), for Fe 0.92 (SEC: 21.7), for Mn 0.72 (SEC: 83.0) and for Zn 0.72 (SEC: 1.2) on mg kg?1 dry matter. It was concluded that NIR reflectance spectroscopy has a great potential as an analytical method for routine analysis of soil texture, Fe, Zn and Cu due the speed and low cost of analysis |
Palabras claves : |
CLAY; COPPER; MANGANESE; NEAR INFRARED (NIR) SPECTROSCOPY; SAND; SILT. |
Thesagro : |
MAGNESIO; NIRS; SOIL; SUELO; ZINC. |
Asunto categoría : |
P35 Fertilidad del suelo |
Marc : |
LEADER 02013naa a2200289 a 4500 001 1049363 005 2019-10-08 008 2003 bl uuuu u00u1 u #d 024 7 $a10.1255/jnirs.362$2DOI 100 1 $aMORON, A. 245 $aExploring the use of near infrared reflectance spectroscopy to study physical properties and microelements in soils.$h[electronic resource] 260 $c2003 500 $aArticle history: 520 $aAbstract. Near infrared (NIR) reflectance spectroscopy was used to predict the content of silt, sand, clay, iron (Fe), copper (Cu), manganese (Mn) and zinc (Zn) in soil. A total of 332 samples from agricultural soils (0?15 cm depth) in Uruguay (South America) were used. The samples were scanned in a monochromator instrument (NIRSystems 6500, Silver Spring, MD, USA). Two mathematical treatments (first and second derivative) with SNVD (scatter normal variate and detrend) and without scatter correction were studied. Modified partial least squares (mPLS) was used to develop the calibration models. The coefficient of determination in calibration (R2cal) and the standard error in calibration (SEC) using the second derivative were 0.81 (SEC: 5.1), 0.83 (SEC: 5.3), 0.92 (SEC: 2.6) for percent sand, silt and clay, respectively. The R2cal and standard error of cross-validation (SECV) were for Cu 0.87 (SEC: 0.7), for Fe 0.92 (SEC: 21.7), for Mn 0.72 (SEC: 83.0) and for Zn 0.72 (SEC: 1.2) on mg kg?1 dry matter. It was concluded that NIR reflectance spectroscopy has a great potential as an analytical method for routine analysis of soil texture, Fe, Zn and Cu due the speed and low cost of analysis 650 $aMAGNESIO 650 $aNIRS 650 $aSOIL 650 $aSUELO 650 $aZINC 653 $aCLAY 653 $aCOPPER 653 $aMANGANESE 653 $aNEAR INFRARED (NIR) SPECTROSCOPY 653 $aSAND 653 $aSILT 700 1 $aCOZZOLINO, D. 773 $tJournal of Near Infrared Spectroscopy, 2003, Volume 11, Issue 2, Pages 145-154.
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