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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
15/09/2015 |
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Actualizado : |
10/09/2018 |
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Tipo de producción científica : |
Documentos |
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Autor : |
DEAMBROSI, E.; BLANCO, P.H.; PÉREZ DE VIDA, F.; ZORRILLA DE SAN MARTÍN, G.; ACEVEDO, A.; ÁVILA, S.; MÉNDEZ, R.; BLANCO, F.; ROEL, A.; PÍRIZ, M. |
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Afiliación : |
ENRIQUE GERMAN DEAMBROSI CHURRUT, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PEDRO HORACIO BLANCO BARRAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BLAS PEREZ DE VIDA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GONZALO ROBERTO ZORRILLA DE SAN MARTÍN PEREYRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANTONIO MARIA ACEVEDO VEGA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIFLOR STELLA ÁVILA SILVA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAMÓN FELIPE MÉNDEZ LARROSA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FEDERICO GUILLERMO BLANCO BORDÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTÍN PÍRIZ CHIALANZA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Arroz: día de campo. Unidad Experimental Paso de la Laguna (UEPL). [Información presentada]. |
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Fecha de publicación : |
1993 |
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Fuente / Imprenta : |
Treinta y Tres (Uruguay): INIA, 1993. |
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Páginas : |
51 p. |
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Idioma : |
Español |
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Notas : |
Día de campo de arroz correspondientes a la zafra 1992-1993 realizado el 11 de marzo de 1993. |
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Thesagro : |
APLICACION DE ABONOS; ARROZ; CLIMATOLOGIA; ENFERMEDADES DE LAS PLANTAS; ENSAYOS DE VARIEDADES; ESCARDA; FITOMEJORAMIENTO; FITOPATOLOGIA; MALEZAS; MANEJO DEL CULTIVO; RIEGO. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4970/1/DC-AZ-1993.pdf
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Marc : |
LEADER 01080nam a2200361 a 4500
001 1053358
005 2018-09-10
008 1993 bl uuuu u0uu1 u #d
100 1 $aDEAMBROSI, E.
245 $aArroz$bdía de campo. Unidad Experimental Paso de la Laguna (UEPL). [Información presentada].$h[electronic resource]
260 $aTreinta y Tres (Uruguay): INIA$c1993
300 $a51 p.
500 $aDía de campo de arroz correspondientes a la zafra 1992-1993 realizado el 11 de marzo de 1993.
650 $aAPLICACION DE ABONOS
650 $aARROZ
650 $aCLIMATOLOGIA
650 $aENFERMEDADES DE LAS PLANTAS
650 $aENSAYOS DE VARIEDADES
650 $aESCARDA
650 $aFITOMEJORAMIENTO
650 $aFITOPATOLOGIA
650 $aMALEZAS
650 $aMANEJO DEL CULTIVO
650 $aRIEGO
700 1 $aBLANCO, P.H.
700 1 $aPÉREZ DE VIDA, F.
700 1 $aZORRILLA DE SAN MARTÍN, G.
700 1 $aACEVEDO, A.
700 1 $aÁVILA, S.
700 1 $aMÉNDEZ, R.
700 1 $aBLANCO, F.
700 1 $aROEL, A.
700 1 $aPÍRIZ, M.
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Registro original : |
INIA Treinta y Tres (TT) |
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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 actual : |
21/02/2014 |
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Actualizado : |
30/09/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
COZZOLINO, D.; MORON, A. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DAVID ALEJANDRO MORON YACOEL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Exploring the use of near infrared reflectance spectroscopy (NIRS) to predict trace minerals in legumes. |
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Fecha de publicación : |
2004 |
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Fuente / Imprenta : |
Animal Feed Science and Technology, Volume 111, Issues 1?4, 12 January 2004, Pages 161-173. |
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DOI : |
10.1016/j.anifeedsci.2003.08.001 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 28 January 2003 / Received in revised form 23 July 2003 / Accepted 5 August 2003. |
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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. |
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Palabras claves : |
LEGUMES FORAGE QUALITY; NIRS; PARTIAL LEAST SQUARES; TRACE MINERALS. |
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Asunto categoría : |
-- |
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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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