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| 4. |  | SOSA DÍAZ, J. D.I.C.O.S.E. In: JORNADAS DE RECURSOS TÉCNICOS, 3., 27 de Abril, Rural del Prado, 2001, Montevideo, Uruguay Ganadería Hereford. Montevideo (Uruguay): INIA, 2001. p. 63-66| Biblioteca(s): INIA Tacuarembó. |
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| 15. | | MARANGES, F.; DO CANTO, J.; REYNO, R.; GUTIERREZ, F.; ROSSI, C.; DÍAZ, J.; STEWART, A. Raigrás anual Winter Star 3. Revista INIA Uruguay, 2018, no.52, p.18-20. (Revista INIA; 52)| Biblioteca(s): INIA Treinta y Tres. |
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| 16. | | MARANGES, M.; DO CANTO, J.; GUTIERREZ, F.; REYNO, R.; ROSSI, C.; LATTANZI, F.; DÍAZ, J.; STEWART, A. Festuca "RIZAR": una nueva opción rizomatosa de alta productividad, persistencia y rusticidad. Revista INIA Uruguay, 2019, no. 56, p. 40-42. (Revista INIA; 56)| Biblioteca(s): INIA Tacuarembó. |
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| Registros recuperados : 16 | |
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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 : |
27/11/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 5 |
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Autor : |
COZZOLINO, D.; FASSIO, A.; GIMÉNEZ, A. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALBERTO SANTIAGO FASSIO ARAUJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
The use of near-infrared reflectance spectroscopy (NIRS) to predict the composition of whole maize plants. |
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Fecha de publicación : |
2001 |
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Fuente / Imprenta : |
Journal of the Science of Food and Agriculture, 1 January 2001, Volume 81, Issue 1, Pages 142-146 |
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DOI : |
10.1002/1097-0010(20010101)81:1<142::AID-JSFA790>3.0.CO;2-I |
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Idioma : |
Inglés |
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Contenido : |
Abstract: Near-infrared reØectance spectroscopy (NIRS) was used to predict the chemical composition of whole maize plants (Zea mays
L) in breeding programmes at INIA La Estanzuela, Uruguay.Four hundred samples (n= 400) were scanned from 400 to 2500 nm in an NIRS 6500 monochromator
(NIRSystems, Silver Spring, MD, USA). ModiÆed partial least squares (MPLS) regression was applied to scatter-corrected spectra (SNV and detrend). Calibration models for NIRS measurements gave multivariate correlation coefÆcients of determination (R2 ) and standard errors of cross-validation
(SECV) of 0.72 (SECV 9.5), 0.96 (SECV 7.7), 0.98 (SECV 16.5), 0.96 (SECV 34.3), 0.98 (SECV 17.8) and 0.98 (SECV 6.1) for dry matter (DM), crude protein (CP), acid detergent Æbre (ADF), neutral detergent Æbre (NDF), in vitro organic matter digestibility (IVOMD) and ash in g kg ?1 on a dry weight
basis respectively. This paper shows the potential of NIRS to predict the chemical composition of whole maize plants as a routine method in breeding programmes and for farmer advice. |
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Palabras claves : |
ACID DETERGENT FIBRE; CRUDE PROTEIN; NEAR-INFRARED SPECTROSCOPY; WHOLE MAIZE. |
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Thesagro : |
MAIZ; NIRS. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 01858naa a2200229 a 4500
001 1048018
005 2019-11-27
008 2001 bl uuuu u00u1 u #d
024 7 $a10.1002/1097-0010(20010101)81:1<142::AID-JSFA790>3.0.CO;2-I$2DOI
100 1 $aCOZZOLINO, D.
245 $aThe use of near-infrared reflectance spectroscopy (NIRS) to predict the composition of whole maize plants.$h[electronic resource]
260 $c2001
520 $aAbstract: Near-infrared reØectance spectroscopy (NIRS) was used to predict the chemical composition of whole maize plants (Zea mays L) in breeding programmes at INIA La Estanzuela, Uruguay.Four hundred samples (n= 400) were scanned from 400 to 2500 nm in an NIRS 6500 monochromator (NIRSystems, Silver Spring, MD, USA). ModiÆed partial least squares (MPLS) regression was applied to scatter-corrected spectra (SNV and detrend). Calibration models for NIRS measurements gave multivariate correlation coefÆcients of determination (R2 ) and standard errors of cross-validation (SECV) of 0.72 (SECV 9.5), 0.96 (SECV 7.7), 0.98 (SECV 16.5), 0.96 (SECV 34.3), 0.98 (SECV 17.8) and 0.98 (SECV 6.1) for dry matter (DM), crude protein (CP), acid detergent Æbre (ADF), neutral detergent Æbre (NDF), in vitro organic matter digestibility (IVOMD) and ash in g kg ?1 on a dry weight basis respectively. This paper shows the potential of NIRS to predict the chemical composition of whole maize plants as a routine method in breeding programmes and for farmer advice.
650 $aMAIZ
650 $aNIRS
653 $aACID DETERGENT FIBRE
653 $aCRUDE PROTEIN
653 $aNEAR-INFRARED SPECTROSCOPY
653 $aWHOLE MAIZE
700 1 $aFASSIO, A.
700 1 $aGIMÉNEZ, A.
773 $tJournal of the Science of Food and Agriculture, 1 January 2001, Volume 81, Issue 1, Pages 142-146
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