Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models

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...

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Autores principales:	Garcia,Jaime, Cozzolino,Daniel
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2006
Materias:	forage quality NIR chemical composition near infrared analysis
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0365-28072006000100005
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spelling	oai:scielo:S0365-280720060001000052006-03-08Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration ModelsGarcia,JaimeCozzolino,Daniel forage quality NIR chemical composition near infrared analysis 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 demonstrated the potential of NIR to predict the chemical composition of different forage plant species ; however, it is suggested that the technique could be used as a routine procedure to apply in breeding programs only if calibration is done for each species, season and particular conditions.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAAgricultura Técnica v.66 n.1 20062006-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0365-28072006000100005en10.4067/S0365-28072006000100005
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	forage quality NIR chemical composition near infrared analysis
spellingShingle	forage quality NIR chemical composition near infrared analysis Garcia,Jaime Cozzolino,Daniel Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models
description	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 demonstrated the potential of NIR to predict the chemical composition of different forage plant species ; however, it is suggested that the technique could be used as a routine procedure to apply in breeding programs only if calibration is done for each species, season and particular conditions.
author	Garcia,Jaime Cozzolino,Daniel
author_facet	Garcia,Jaime Cozzolino,Daniel
author_sort	Garcia,Jaime
title	Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models
title_short	Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models
title_full	Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models
title_fullStr	Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models
title_full_unstemmed	Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models
title_sort	use of near infrared reflectance (nir) spectroscopy to predict chemical composition of forages in broad-based calibration models
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2006
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0365-28072006000100005
work_keys_str_mv	AT garciajaime useofnearinfraredreflectancenirspectroscopytopredictchemicalcompositionofforagesinbroadbasedcalibrationmodels AT cozzolinodaniel useofnearinfraredreflectancenirspectroscopytopredictchemicalcompositionofforagesinbroadbasedcalibrationmodels
_version_	1718438050705440768

Use of Near Infrared Reflectance (NIR) Spectroscopy to Predict Chemical Composition of Forages in Broad-Based Calibration Models

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