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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
21/01/2020 |
Autor : |
MESA NACIONAL DE TRIGO, 1., 1999, MERCEDES, URUGUAY |
Título : |
Rendimiento y calidad de trigo. |
Fecha de publicación : |
1999 |
Fuente / Imprenta : |
Mercedes (Uruguay): Mesa Nacional de Trigo, 1999. |
Páginas : |
48 p |
Idioma : |
Español |
Thesagro : |
TRIGO. |
Asunto categoría : |
F01 Cultivo |
Marc : |
LEADER 00346nam a2200121 a 4500 001 1023325 005 2020-01-21 008 1999 bl uuuu u01u1 u #d 100 1 $aMESA NACIONAL DE TRIGO, 1., 1999, MERCEDES, URUGUAY 245 $aRendimiento y calidad de trigo. 260 $aMercedes (Uruguay): Mesa Nacional de Trigo$c1999 300 $a48 p 650 $aTRIGO
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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 : |
26/11/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
B - 1 |
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 : |
The potential of near-infrared reflectance spectroscopy to analyse soil chemical and physical characteristics. |
Fecha de publicación : |
2003 |
Fuente / Imprenta : |
Journal of Agricultural Science, February 2003, Volume 140, Issue 1, Pages 65-71. |
DOI : |
10.1017/S0021859602002836 |
Idioma : |
Inglés |
Notas : |
Article history:Revised MS/ Received 6 November 2002. |
Contenido : |
Abstract:
Near-infrared reflectance spectroscopy (NIRS) was used for the analysis of soil samples for silt, sand, clay, calcium (Ca), potassium (K), sodium (Na), magnesium (Mg), copper (Cu) and iron (Fe). A total of 332 samples of different soils from Uruguay (South America) were used. The samples were scanned in a NIRS 6500 (NIRSystems, Silver Spring, MD, USA) in reflectance. Cross validation was applied to avoid overfitting of the models. The coefficient of determination in calibration (R^2_{\rm cal}) and the standard errors in cross validation (SECV) were 0·80 (SECV: 6·8), 0·84 (SECV: 6·0), 0·90 (SECV: 3·6) in per cent for sand, silt and clay respectively. For both macro and microelements the R^2_{\rm cal} and SECV were 0·80 (SECV: 0·1), 0·95 (SECV: 2·9), 0·90 (SECV 0·8), for K, Ca, Mg in g/kg respectively, and 0·86 (SECV: 0·82) and 0·92 (SECV: 25·5) for Cu and Fe in mg/kg. It was concluded that NIRS has a great potential as an analytical method for soil routine analysis due to the speed and low cost of analysis. |
Thesagro : |
NIRS. |
Asunto categoría : |
-- |
Marc : |
LEADER 01649naa a2200169 a 4500 001 1040284 005 2019-11-26 008 2003 bl uuuu u00u1 u #d 024 7 $a10.1017/S0021859602002836$2DOI 100 1 $aCOZZOLINO, D. 245 $aThe potential of near-infrared reflectance spectroscopy to analyse soil chemical and physical characteristics.$h[electronic resource] 260 $c2003 500 $aArticle history:Revised MS/ Received 6 November 2002. 520 $aAbstract: Near-infrared reflectance spectroscopy (NIRS) was used for the analysis of soil samples for silt, sand, clay, calcium (Ca), potassium (K), sodium (Na), magnesium (Mg), copper (Cu) and iron (Fe). A total of 332 samples of different soils from Uruguay (South America) were used. The samples were scanned in a NIRS 6500 (NIRSystems, Silver Spring, MD, USA) in reflectance. Cross validation was applied to avoid overfitting of the models. The coefficient of determination in calibration (R^2_{\rm cal}) and the standard errors in cross validation (SECV) were 0·80 (SECV: 6·8), 0·84 (SECV: 6·0), 0·90 (SECV: 3·6) in per cent for sand, silt and clay respectively. For both macro and microelements the R^2_{\rm cal} and SECV were 0·80 (SECV: 0·1), 0·95 (SECV: 2·9), 0·90 (SECV 0·8), for K, Ca, Mg in g/kg respectively, and 0·86 (SECV: 0·82) and 0·92 (SECV: 25·5) for Cu and Fe in mg/kg. It was concluded that NIRS has a great potential as an analytical method for soil routine analysis due to the speed and low cost of analysis. 650 $aNIRS 700 1 $aMORON, A. 773 $tJournal of Agricultural Science, February 2003, Volume 140, Issue 1, Pages 65-71.
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