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| Registros recuperados : 6 | |
| 6. |  | REAL, D.; FORMOSO, F.; MARTÍNEZ, A.; RISSO, I.; HUGO, W.; ROSTAN, C.; ALZUGARAY, M. Pre-basic seed production of Lotononis bainesii Baker cv. "INIA Glencoe". Short Communication. New Zealand Journal of Agricultural Research, 2005, v. 48, no.3, p.377-379. A04093; Online publication date 8 August 2005; Received 02 Nov 2004; Accepted 07 Jun 2005; Published online: 17 Mar 2010| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 6 | |
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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 : |
25/06/2021 |
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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.; FASSIO, A.; FERNANDEZ, E.; RESTAINO, E.; LA MANNA, 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; ENRIQUE GENARO FERNANDEZ RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ERNESTO ANGEL RESTAINO GALUP, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALEJANDRO FRANCISCO LA MANNA ALONSO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Measurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy. |
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Fecha de publicación : |
2006 |
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Fuente / Imprenta : |
Animal Feed Science and Technology, 2006, 129 (3-4): 329-336 |
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DOI : |
10.1016/j.anifeedsci.2006.01.025 |
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Idioma : |
Inglés |
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Notas : |
Article history:Received 10 June 2005 /Received in revised form 16 January 2006/ Accepted 25 January 2006. |
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Contenido : |
Abstract: Visible (Vis) and near infrared reflectance (NIR) spectroscopy were used to predict dry matter(DM), acid and neutral detergent fibre (ADFom and aNDFom), ash, crude protein (CP) and pHin wet whole maize (WWM) silage samples. Samples were analysed by reference methods andspectra collected using a NIR spectrophotometer in reflectance (400?2500 nm). Predictive equa-tions were developed using modified partial least squares (MPLS) with full cross validation usingraw spectra or second derivative. Two scatter corrections were also used, namely standard normalvariate and detrend (SNVD) and multiplicative scatter correction (MSC). Coefficient of determina-tion in calibrationR2caland standard error of cross validation (SECV) were 0.91 (SECV: 6.5 g kg?1DM) for CP, 0.85 (SECV: 27.4 g kg?1) for DM using SNVD, and 0.86 (SECV: 22.1 g kg?1DM) using raw spectra. Poor correlations between the reference methods and NIR werefound for aNDFom, ash, OMD and pH. It was concluded that NIR spectroscopy might be a suit-able method to predict DM, CP and ADFom on WWM silage samples with minimal sample preparation. |
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Palabras claves : |
MODIFIED PARTIAL LEAST SQUARES; NIR; NIR (NEAR INFRARED REFLECTANCE); SAMPLE PRESENTATION; SILAGE; WET WHOLE MAIZE. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02071naa a2200265 a 4500
001 1049572
005 2021-06-25
008 2006 bl uuuu u00u1 u #d
024 7 $a10.1016/j.anifeedsci.2006.01.025$2DOI
100 1 $aCOZZOLINO, D.
245 $aMeasurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy.
260 $c2006
500 $aArticle history:Received 10 June 2005 /Received in revised form 16 January 2006/ Accepted 25 January 2006.
520 $aAbstract: Visible (Vis) and near infrared reflectance (NIR) spectroscopy were used to predict dry matter(DM), acid and neutral detergent fibre (ADFom and aNDFom), ash, crude protein (CP) and pHin wet whole maize (WWM) silage samples. Samples were analysed by reference methods andspectra collected using a NIR spectrophotometer in reflectance (400?2500 nm). Predictive equa-tions were developed using modified partial least squares (MPLS) with full cross validation usingraw spectra or second derivative. Two scatter corrections were also used, namely standard normalvariate and detrend (SNVD) and multiplicative scatter correction (MSC). Coefficient of determina-tion in calibrationR2caland standard error of cross validation (SECV) were 0.91 (SECV: 6.5 g kg?1DM) for CP, 0.85 (SECV: 27.4 g kg?1) for DM using SNVD, and 0.86 (SECV: 22.1 g kg?1DM) using raw spectra. Poor correlations between the reference methods and NIR werefound for aNDFom, ash, OMD and pH. It was concluded that NIR spectroscopy might be a suit-able method to predict DM, CP and ADFom on WWM silage samples with minimal sample preparation.
653 $aMODIFIED PARTIAL LEAST SQUARES
653 $aNIR
653 $aNIR (NEAR INFRARED REFLECTANCE)
653 $aSAMPLE PRESENTATION
653 $aSILAGE
653 $aWET WHOLE MAIZE
700 1 $aFASSIO, A.
700 1 $aFERNANDEZ, E.
700 1 $aRESTAINO, E.
700 1 $aLA MANNA, A.
773 $tAnimal Feed Science and Technology, 2006, 129 (3-4): 329-336
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INIA La Estanzuela (LE) |
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