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Biblioteca(s): | INIA La Estanzuela.
Fecha corriente: | 21/02/2014
Fecha de la última actualización: | 25/06/2021
Autoria: | COZZOLINO, D.; FASSIO, A.; FERNANDEZ, E.; RESTAINO, 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; 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.
Título: | Measurement of chemical composition in wet whole maize silage by visible and near infrared reflectance spectroscopy.
Año de publicación: | 2006
Fuente/Imprenta: | Animal Feed Science and Technology, 2006, 129 (3-4): 329-336
DOI: | 10.1016/j.anifeedsci.2006.01.025
Idioma: | Inglés
Notas: | Article history:Received 10 June 2005 /Received in revised form 16 January 2006/ Accepted 25 January 2006.
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.
Palabras-Clave: | MODIFIED PARTIAL LEAST SQUARES; NIR; NIR (NEAR INFRARED REFLECTANCE); SAMPLE PRESENTATION; SILAGE; WET WHOLE MAIZE.
Categoría del tema: | --
Registro original: | INIA La Estanzuela (LE)
Ejemplares: | LE - (49572-1) - PXI - AP - PP - PP/Animal Feed Sc.&Tech./2006 -  -  - DIS