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10. | | VÁZQUEZ, D.; BERGER, A.; CUNIBERTI, M.; BAINOTTI, C.; MIRANDA, M. Z. de; SCHEEREN, P. L.; JOBET, C.; PEÑA, R. J.; CABRERA, G.; VERGES, R. Genotype and environment effects on quality of 23 wheat genotypes cultivated in 20 Latin American environments. In: INTERNATIONAL WHEAT CONFERENCE, 8., 2010, St. Petersburg, RU. Abstracts...: wheat genetics and breeding for grain quality; oral presentations. St. Petersburg: VIR, 2010. p. 493-494.Biblioteca(s): INIA La Estanzuela. |
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11. | | Bainotti, C.T.Salines, J.H.Amigone, M.A.Fraschina, J.A.Formica, M.B.Nisi, J.E.Kloster, A.M.Garis, M.H.Navarro, C. Nueva variedad de triticale forrajero Espinillo INTA Marcos Juárez, Córdoba (Argentina): INTA, 2007. 11 p. (INTA Marcos Juárez. Información para Extensión ;110)Biblioteca(s): INIA Tacuarembó. |
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12. | | VÁZQUEZ, D.; BERGER, A.G.; CUNIBERTI , M.; BAINOTTI , C.; ZAVARIZ DE MIRANDA , M.; SCHEEREN , P.L.; JOBET, C.; ZÚÑIGA, J.; CABRERA, G.; VERGES, R.; PEÑA, R.J Influence of cultivar and environment on quality of Latin American wheats. Journal of cereal science , v. 56, n.2, p. 196-203, 2012. Article history: Received 15 August 2011 / Received in revised form / 20 March 2012 / Accepted 27 March 2012.Biblioteca(s): INIA La Estanzuela. |
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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
|
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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