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dc.creatorRestaino,Ernesto A
dc.creatorFernández,Enrique G
dc.creatorLa Manna,Alejandro
dc.creatorCozzolino,Daniel
dc.date2009-12-01
dc.date.accessioned2019-04-24T21:18:55Z
dc.date.available2019-04-24T21:18:55Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000400011
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/55488
dc.descriptionThe aim of this study was to investigate the use of near infrared reflectance (NIRS) spectroscopy to predict the nutritive value of silages from pastures and to assess the effect of silage structure type (e.g. bunker and bag silos) on the NIRS predictions. Samples (n = 120) were sourced from commercial farms and analyzed in a NIRS monochromator instrument (NIR Systems, Silver Spring, Maryland, USA) using wavelengths between 400 and 2500 nm in reflectance. Calibration models were developed between chemical and NIRS spectral data using partial least squares (PLS) regression. The coefficients of determination in calibration (R²) and the standard error in cross validation (SECV) were 0.73 (SECV: 1.2%), 0.81 (SECV: 2.0%), 0.75 (SECV: 6.6%), 0.80 (SECV: 6.7%), 0.80 (SECV: 4.0%), 0.60 (SECV: 3.6%) and 0.70 (SECV: 0.34) for ash, crude protein (CP), neutral detergent fiber (NDF), dry matter (DM), acid detergent fiber (ADF), in vitro dry matter digestibility (IVDMD) and pH, respectively. The results showed the potential of NIRS to analyze DM, ADF and CP in silage samples from pastures.
dc.formattext/html
dc.languageen
dc.publisherInstituto de Investigaciones Agropecuarias, INIA
dc.relation10.4067/S0718-58392009000400011
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceChilean journal of agricultural research v.69 n.4 2009
dc.subjectsilage
dc.subjectnutritive value
dc.subjectnear infrared reflectance spectroscopy
dc.subjectpastures
dc.titlePrediction of the Nutritive Value of Pasture Silage by Near Infrared Spectroscopy (NIRS)


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