|
|
Registros recuperados : 87 | |
81. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | COZZOLINO, D.; RESTAINO, E.; LA MANNA, A.; FERNANDEZ, E.; FASSIO, A. Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples. Ciencia e Investigacion Agraria, v. 36, n. 2, p. 209-214, 2009.Biblioteca(s): INIA La Estanzuela. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso restrito al objeto digital](/consulta/web/img/lock.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
83. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | FASSIO, A.; IBAÑEZ, W.; FERNANDEZ, E.; COZZOLINO, D.; PÉREZ, O.; RESTAINO, E.; PASCAL, A.; RABAZA, C.; VERGARA, G. El cultivo de maíz para la producción de forraje y grano y la influencia del agua. Montevideo (Uruguay): INIA, 2018. 49 p. (INIA Serie Técnica; 239)Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso al objeto digital](/consulta/web/img/pdf.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
84. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | FASSIO, A.; IBAÑEZ, W.; RODRÍGUEZ, M.; CERETTA, S.; PÉREZ, O.; RABAZA, C.; VERGARA, A.; CESAN, A.; RESTAINO, E. Predicción de estados fenológicos de soja y otros cultivos de verano: ... soja, girasol, maíz, sorgo granífero, forrajero, dulce y silero. Montevideo: INIA, 2014. Modelo de predicción fenológica en línea.Biblioteca(s): INIA La Estanzuela. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso al objeto digital](/consulta/web/img/pagina.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
86. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | PÉREZ, O.; CAPURRO, M.C.; FASSIO, A.; SAWCHIK, J.; CLARIGET, J.; SCHUSSELIN, J.; SILVA, P.; MORALES, M. Producción y calidad de diferentes tipos de sorgo regados y pastoreados con novillos. In: Día de Campo Manejo de Cultivos de Verano en Secano y Bajo Riego (2014, INIA La Estanzuela, Uruguay). (Serie Actividades de Difusión; 729)Biblioteca(s): INIA La Estanzuela. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso al objeto digital](/consulta/web/img/pdf.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
87. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | BENNADJI, Z.; ALONSO, R.; CASTRO, M.; CIGANDA, V.; GOÑI, C.; PÉREZ DE VIDA, F.; VÁZQUEZ, D.; BERGER, A.; GASO, D.; CERETTA, S.; FASSIO, A.; SALDAIN, N.E.; OTERO, A. Mejoramiento genético más ecofisiología: generando espacios interdisciplinarios para la disminución de la vulnerabilidad al cambio climático Revista INIA Uruguay, 2011, no. 25 p. 43-48 (Revista INIA; 25)Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso al objeto digital](/consulta/web/img/pdf.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
Registros recuperados : 87 | |
|
|
![](/consulta/web/img/deny.png) | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
22/11/2016 |
Actualizado : |
22/11/2016 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
A - 1 |
Autor : |
COZZOLINO, D.; FASSIO, A.; RESTAINO, E.; FERNANDEZ, E.; LA MANNA, A. |
Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALBERTO SANTIAGO FASSIO ARAUJO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ERNESTO ANGEL RESTAINO GALUP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Verification of silage type using near-infrared spectroscopy combined with multivariate analysis. |
Fecha de publicación : |
2008 |
Fuente / Imprenta : |
Journal of Agricultural and Food Chemistry, 2008, v. 56, no.1, p.79-83. |
DOI : |
10.1021/jf072566d |
Idioma : |
Inglés |
Notas : |
Received 28 August 2007 // Date accepted 8 November 2007 // Published online 27 November 2007 // Published in print 1 January 2008. |
Contenido : |
ABSTRACT.
The ability to authenticate the feed given to animals has become a major challenge in animal production, where the diet fed to the animal is one of the most important production factors affecting the composition of milk and meat from cattle, sheep, and goats. Hence, there is currently an increased consumer demand for information on herbivore production factors and particularly the animal diet. The aim of this study was to evaluate the reliability and accuracy of near-infrared (NIR) reflectance spectroscopy as a tool to verify and authenticate the type of silage used as fed for ruminants. Grain silage (GrS, n ) 94), grass and legume silage (GLegS, n ) 121), and sunflower silage (SunS, n ) 50) samples were collected from commercial farms and analyzed in the visible and NIR regions (400-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA),
partial least-squares discriminant analysis (PLS1-DA), and linear discriminant analysis (LDA) models ere used as methods to verify the different silage types. The classification models based on the NIR data correctly classified more than 90% of the silage samples according to their type. The results from this study showed that NIR spectra combined with multivariate analysis could be used as a tool to objectively authenticate silage samples used as a feed for ruminants.
© 2008 American Chemical Society |
Palabras claves : |
IDENTIFICATION; LINEAR DISCRIMINANT ANALYSIS; NEAR-INFRARED SPECTROSCOPY; PARTIAL LEAST-SQUARES DISCRIMINANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SILAGE. |
Asunto categoría : |
-- |
Marc : |
LEADER 02371naa a2200265 a 4500 001 1056114 005 2016-11-22 008 2008 bl uuuu u00u1 u #d 024 7 $a10.1021/jf072566d$2DOI 100 1 $aCOZZOLINO, D. 245 $aVerification of silage type using near-infrared spectroscopy combined with multivariate analysis.$h[electronic resource] 260 $c2008 500 $aReceived 28 August 2007 // Date accepted 8 November 2007 // Published online 27 November 2007 // Published in print 1 January 2008. 520 $aABSTRACT. The ability to authenticate the feed given to animals has become a major challenge in animal production, where the diet fed to the animal is one of the most important production factors affecting the composition of milk and meat from cattle, sheep, and goats. Hence, there is currently an increased consumer demand for information on herbivore production factors and particularly the animal diet. The aim of this study was to evaluate the reliability and accuracy of near-infrared (NIR) reflectance spectroscopy as a tool to verify and authenticate the type of silage used as fed for ruminants. Grain silage (GrS, n ) 94), grass and legume silage (GLegS, n ) 121), and sunflower silage (SunS, n ) 50) samples were collected from commercial farms and analyzed in the visible and NIR regions (400-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), partial least-squares discriminant analysis (PLS1-DA), and linear discriminant analysis (LDA) models ere used as methods to verify the different silage types. The classification models based on the NIR data correctly classified more than 90% of the silage samples according to their type. The results from this study showed that NIR spectra combined with multivariate analysis could be used as a tool to objectively authenticate silage samples used as a feed for ruminants. © 2008 American Chemical Society 653 $aIDENTIFICATION 653 $aLINEAR DISCRIMINANT ANALYSIS 653 $aNEAR-INFRARED SPECTROSCOPY 653 $aPARTIAL LEAST-SQUARES DISCRIMINANT ANALYSIS 653 $aPRINCIPAL COMPONENT ANALYSIS 653 $aSILAGE 700 1 $aFASSIO, A. 700 1 $aRESTAINO, E. 700 1 $aFERNANDEZ, E. 700 1 $aLA MANNA, A. 773 $tJournal of Agricultural and Food Chemistry, 2008$gv. 56, no.1, p.79-83.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|