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	Provedor de dados 113 (3) 117 (2) 118 (1) Autor Cozzolino,Daniel (6) Fassio,Alberto (2) La Manna,Alejandro (2) Corbella,Eduardo (1) Delucchi,Inés (1) Fernandez,Enrique (1) Fernández,Enrique (1) Fernández,Enrique G (1) Garcia,Jaime (1) Kholi,Moham (1) Restaino,Ernesto (1) Restaino,Ernesto A (1) Vázquez,Daniel (1) Mais... Palavra-chave NIR (2) Principal component analysis (2) Calidad (1) Chemical composition (1) Ensilaje de maíz (1) Espectroscopía de reflectancia en el infrarrojo cercano (1) Fishmeal (1) Forage quality (1) Glycine max (1) Grain quality (1) Honey (1) Linear discriminant analysis (1) Meat meal (1) NIRS (1) Near infrared (1) Near infrared analysis (1) Near infrared reflectance spectroscopy (1) Nutritive value (1) Pastures (1) Pollen analysis (1) Mais... Tipo do documento Journal article (6) Ano 2009 (2) 2008 (1) 2006 (2) 2003 (1) País Chile (6) Idioma Inglês (5) Espanhol (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 6 Primeira ... 1 ... Última USO DE LA ESPECTROSCOPÍA DE REFLECTANCIA EN EL INFRARROJO CERCANO PARA EL ANÁLISIS DE CALIDAD DE ENSILAJE DE MAÍZ 113 Cozzolino,Daniel; Fassio,Alberto; Fernández,Enrique. La espectroscopía de reflectancia en el infrarrojo cercano (NIRS) fue utilizada para predecir la composición química del ensilaje de maíz (Zea mays L). Doscientas muestras de un amplio rango de características físico - químicas y origen, fueron leídas en un equipo monocromador (NIRS 6500, NIRSystems, Silver Spring, Maryland¸ USA) en el rango de longitudes de onda de 400 a 2500 nm, en reflectancia. Los coeficientes de determinación en calibración (R²cal) y el error estándar de la validación cruzada (SECV) fueron 0,94 (SECV: 0,74%), 0,94 (SECV: 0,54%), 0,91 (SECV: 1,8%), y 0,90 (SECV: 3,8%) para MS, proteína cruda (PC), fibra detergente ácida (FDA) y fibra detergente neutra (FDN) en base materia seca. Los resultados demuestran el potencial del NIRS para el... Tipo: Journal article Palavras-chave: Espectroscopía de reflectancia en el infrarrojo cercano; NIRS; Calidad; Ensilaje de maíz; Zea mays L.. Ano: 2003 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0365-28072003000400007 Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models 113 Garcia,Jaime; Cozzolino,Daniel. The objective of the study was to evaluate the potential of near infrared reflectance (NIR) spectroscopy as a rapid method to predict the chemical composition of forage in broad-based calibration models. In total, 650 samples representing a wide range of chemical characteristics, phenological states and origins were scanned in an NIR instrument. The coefficient of determination in calibration (R²) and standard error in cross validation (SECV) for the NIR calibration models were as follows: dry matter 0.95 (SECV: 0.7%), crude protein 0.98 (SECV: 0.98%), ash 0.90 (SECV: 0.99%), in vitro organic matter digestibility 0.90 (SECV: 3.6%), acid detergent fiber 0.95 (SECV: 2.0%) and neutral detergent fiber 0.86 (SECV: 5.4%) on a dry matter basis. The results... Tipo: Journal article Palavras-chave: Forage quality; NIR; Chemical composition; Near infrared analysis. Ano: 2006 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0365-28072006000100005 Use of Near Infrared Reflectance Spectroscopy to Evaluate Quality Characteristics in Whole-Wheat Grain 113 Cozzolino,Daniel; Delucchi,Inés; Kholi,Moham; Vázquez,Daniel. The aim of this work was to explore the potential of visible (Vis) and near infrared reflectance (NIR) spectroscopy to measure quality characteristics in whole grain wheat (Triticum aestivum L.) as a tool in breeding programs. A total of 100 samples were analyzed by the reference methods for crude protein (CP), wet gluten (WG) and sodium dodecyl sulfate (SDS) sedimentation test. Whole grain samples were scanned in a NIR monochromator instrument (400-2500 nm) in reflectance. Partial least squares (PLS) were used to develop calibration equations for the quality characteristics in whole wheat. Calibration models were validated using an independent set of samples (n = 50) randomly selected from the population set. The uncertainty of the PLS models was... Tipo: Journal article Palavras-chave: Whole wheat; NIR; Protein; Wet gluten; Grain quality; SDS. Ano: 2006 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0365-28072006000400005 Prediction of the Nutritive Value of Pasture Silage by Near Infrared Spectroscopy (NIRS) 117 Restaino,Ernesto A; Fernández,Enrique G; La Manna,Alejandro; Cozzolino,Daniel. The 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%),... Tipo: Journal article Palavras-chave: Silage; Nutritive value; Near infrared reflectance spectroscopy; Pastures. Ano: 2009 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000400011 Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins 117 Corbella,Eduardo; Cozzolino,Daniel. This study reports the combination of multivariate techniques and pollen count analysis to classify honey samples accordingly to botanical sources, in samples from Uruguay. Honey samples from different botanical origins, namely Eucalyptus spp. (n = 10), Lotus spp. (n = 12), Salix spp. (n = 5), “mil flores” (Myrtaceae spp.) (n = 12) and coronilla (Scutia buxifolia Reissek) (n = 10) were analysed using Melissopalynology (pollen identification). Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to classify the honey samples accordingly to their botanical origin based on a pollen count. Honey samples of higher percentage (> 70%) of Eucalyptus, Lotus and Scutia pollen were 100% correctly classified, whilst samples from... Tipo: Journal article Palavras-chave: Honey; Uruguay; Principal component analysis; Linear discriminant analysis; Pollen analysis. Ano: 2008 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392008000100010 Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples 118 Cozzolino,Daniel; Restaino,Ernesto; La Manna,Alejandro; Fernandez,Enrique; Fassio,Alberto. Near infrared reflectance (NIR) spectroscopy was used in combination with chemometrics to discriminate between fishmeal, meat meal and soya meal samples. Samples were obtained from commercial feed miles and scanned in the NIR region (1100 - 2500 nm) in a monochromatic instrument in reflectance mode. Principal component analysis (PCA) and linear discriminant analysis were used to classify samples based on their NIR spectra. Full cross-validation was used in the development of classification models. Partial least squares-discriminant analysis (PLS-DA) correctly classified 85.7% of the fishmeal samples and 100% of the meat meal and soya meal samples. These results demonstrate the usefulness of NIR spectra combined with chemometrics as an objective and rapid... Tipo: Journal article Palavras-chave: Fishmeal; Glycine max; Meat meal; Near infrared; Principal component analysis; Spectroscopy; Soya meal. Ano: 2009 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000200005 Registros recuperados: 6 Primeira ... 1 ... Última

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