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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 : |
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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Autor : |
MORON, A.; COZZOLINO, D. |
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Afiliación : |
DAVID ALEJANDRO MORON YACOEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Exploring the use of near infrared reflectance spectroscopy to study physical properties and microelements in soils. |
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Fecha de publicación : |
2003 |
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Fuente / Imprenta : |
Journal of Near Infrared Spectroscopy, 2003, Volume 11, Issue 2, Pages 145-154. |
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DOI : |
10.1255/jnirs.362 |
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Idioma : |
Inglés |
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Notas : |
Article history: |
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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 |
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Palabras claves : |
CLAY; COPPER; MANGANESE; NEAR INFRARED (NIR) SPECTROSCOPY; SAND; SILT. |
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Thesagro : |
MAGNESIO; NIRS; SOIL; SUELO; ZINC. |
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Asunto categoría : |
P35 Fertilidad del suelo |
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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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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Tacuarembó. |
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Fecha actual : |
15/09/2020 |
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Actualizado : |
23/09/2020 |
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Tipo de producción científica : |
Documentos |
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Autor : |
NAVAJAS, E.; VELAZCO, J.I.; SOTELO, J.; NOYA, H.; CASAL, A.; GIANOLA, D.; PERAZA, P.; BIELLI, A.; ITHURRALDE, J.; GENOVESE, P.; PÉREZ, R.; CANTALAPIEDRA, G.; AGUILAR, I.; LEMA, O.M.; RAVAGNOLO, O.; DEVINCENZI, T.; CARRACELAS, B.; DE SOUZA, G.; CIAPPESONI, G.; BRITO, G.; LUZARDO, S. |
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Afiliación : |
ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ SOTELO, IIBCE; HUGO NOYA, Institut Pasteur, Montevideo, Uruguay.; ALBERTO CASAL, Fagro, UdelaR, Montevideo, Uruguay.; DANIEL GIANOLA, Universidad de Wisconsin, USA.; PABLO PERAZA DOS SANTOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO BIELLI, Fagro, UdelaR, Montevideo, Uruguay.; JAVIER ITHURRALDE, Fagro, UdelaR, Montevideo, Uruguay.; PATRICIA GENOVESE, FVet, UdelaR, Montevideo, Uruguay.; RAQUEL PÉREZ, Fagro, UdelaR, Montevideo, Uruguay.; GONZALO CANTALAPIEDRA, INRAe ,Francia.; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR MARIO LEMA QUEIJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OLGA RAVAGNOLO GUMILA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; THAIS DEVINCENZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EMERITA BEATRIZ CARRACELAS MARQUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUILLERMO DE SOUZA CAMARGO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUSTAVO WALTER BRITO DIAZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FELIPE LUZARDO VILLAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Plataforma de Fenotipado intensivo - Kiyú. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Anuario Hereford (Montevideo), 2020, p. 210-213. |
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Idioma : |
Español |
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Palabras claves : |
EFICIENCIA DE CONVERSION DE NOVILLOS; EMISION DE METANO. |
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Thesagro : |
GASES DE EFECTO INVERNADERO; MEJORAMIENTO GENETICO ANIMAL. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 01067naa a2200397 a 4500
001 1061318
005 2020-09-23
008 2020 bl uuuu u00u1 u #d
100 1 $aNAVAJAS, E.
245 $aPlataforma de Fenotipado intensivo - Kiyú.$h[electronic resource]
260 $c2020
650 $aGASES DE EFECTO INVERNADERO
650 $aMEJORAMIENTO GENETICO ANIMAL
653 $aEFICIENCIA DE CONVERSION DE NOVILLOS
653 $aEMISION DE METANO
700 1 $aVELAZCO, J.I.
700 1 $aSOTELO, J.
700 1 $aNOYA, H.
700 1 $aCASAL, A.
700 1 $aGIANOLA, D.
700 1 $aPERAZA, P.
700 1 $aBIELLI, A.
700 1 $aITHURRALDE, J.
700 1 $aGENOVESE, P.
700 1 $aPÉREZ, R.
700 1 $aCANTALAPIEDRA, G.
700 1 $aAGUILAR, I.
700 1 $aLEMA, O.M.
700 1 $aRAVAGNOLO, O.
700 1 $aDEVINCENZI, T.
700 1 $aCARRACELAS, B.
700 1 $aDE SOUZA, G.
700 1 $aCIAPPESONI, G.
700 1 $aBRITO, G.
700 1 $aLUZARDO, S.
773 $tAnuario Hereford (Montevideo), 2020, p. 210-213.
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