Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy

Fast and precise analytical tools can contribute to optimize pasture management decisions. This work was carried out to evaluate the potential of one such technique, near infrared spectroscopy (NIRS), to predict the nutritional value of pastures without previous drying of the samples, comparing two...

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Autores principales:	Alomar,Daniel, Fuchslocher,Rita, Cuevas,José, Mardones,Rodrigo, Cuevas,Emilio
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2009
Materias:	pasture composition NIR prediction near infrared reflectance spectroscopy fresh pastures fiber optics
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000200009
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spelling	oai:scielo:S0718-583920090002000092018-10-01Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance SpectroscopyAlomar,DanielFuchslocher,RitaCuevas,JoséMardones,RodrigoCuevas,Emilio pasture composition NIR prediction near infrared reflectance spectroscopy fresh pastures fiber optics Fast and precise analytical tools can contribute to optimize pasture management decisions. This work was carried out to evaluate the potential of one such technique, near infrared spectroscopy (NIRS), to predict the nutritional value of pastures without previous drying of the samples, comparing two forms of collecting the spectra: reflectance, or interactance-reflectance (fiber optic probe). Samples (n = 107) from different swards were taken across the humid and temperate regions (Los Ríos and Los Lagos) of southern Chile. Once their spectra were collected, dry matter (DM) and several chemical constituents, such as crude protein (CP), metabolizable energy (ME), neutral (NDF) and acid detergent fiber (ADF), soluble carbohydrates (SC), soluble crude protein (SCP) and neutral detergent insoluble N (NDFIN), were determined as reference data. Calibrations were developed and the best ranked were selected (by cross-validation) according to a lower standard error of cross validation (SE CV) and a higher determination coefficient of cross validation (R²CV). Calibrations in the reflectance mode, for DM and CP, reached a high R²CV (0.99 and 0.91, respectively) and a SE CV (6.5 and 18.4 g kg-1). Equations for ADF, SCP and ME were ranked next, with R²CV of 0.87, 0.84 and 0.82, respectively, and SE CV of 15.88 g kg-1, 15.45 g kg-1 and 0.34 Mj kg-1. Equations for NDF, SC and NDFIN, with R²CV of 0.78, 0.77 and 0.61, respectively, and SE CV of 35.57, 94.54 and 1.89 g kg-1, respectively, are considered unreliable for prediction purposes. Interactance-reflectance, on the other hand, resulted in poorer equations for all fractions.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.69 n.2 20092009-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000200009en10.4067/S0718-58392009000200009
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	pasture composition NIR prediction near infrared reflectance spectroscopy fresh pastures fiber optics
spellingShingle	pasture composition NIR prediction near infrared reflectance spectroscopy fresh pastures fiber optics Alomar,Daniel Fuchslocher,Rita Cuevas,José Mardones,Rodrigo Cuevas,Emilio Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy
description	Fast and precise analytical tools can contribute to optimize pasture management decisions. This work was carried out to evaluate the potential of one such technique, near infrared spectroscopy (NIRS), to predict the nutritional value of pastures without previous drying of the samples, comparing two forms of collecting the spectra: reflectance, or interactance-reflectance (fiber optic probe). Samples (n = 107) from different swards were taken across the humid and temperate regions (Los Ríos and Los Lagos) of southern Chile. Once their spectra were collected, dry matter (DM) and several chemical constituents, such as crude protein (CP), metabolizable energy (ME), neutral (NDF) and acid detergent fiber (ADF), soluble carbohydrates (SC), soluble crude protein (SCP) and neutral detergent insoluble N (NDFIN), were determined as reference data. Calibrations were developed and the best ranked were selected (by cross-validation) according to a lower standard error of cross validation (SE CV) and a higher determination coefficient of cross validation (R²CV). Calibrations in the reflectance mode, for DM and CP, reached a high R²CV (0.99 and 0.91, respectively) and a SE CV (6.5 and 18.4 g kg-1). Equations for ADF, SCP and ME were ranked next, with R²CV of 0.87, 0.84 and 0.82, respectively, and SE CV of 15.88 g kg-1, 15.45 g kg-1 and 0.34 Mj kg-1. Equations for NDF, SC and NDFIN, with R²CV of 0.78, 0.77 and 0.61, respectively, and SE CV of 35.57, 94.54 and 1.89 g kg-1, respectively, are considered unreliable for prediction purposes. Interactance-reflectance, on the other hand, resulted in poorer equations for all fractions.
author	Alomar,Daniel Fuchslocher,Rita Cuevas,José Mardones,Rodrigo Cuevas,Emilio
author_facet	Alomar,Daniel Fuchslocher,Rita Cuevas,José Mardones,Rodrigo Cuevas,Emilio
author_sort	Alomar,Daniel
title	Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy
title_short	Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy
title_full	Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy
title_fullStr	Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy
title_full_unstemmed	Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy
title_sort	prediction of the composition of fresh pastures by near infrared reflectance or interactance-reflectance spectroscopy
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2009
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392009000200009
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Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance or Interactance-Reflectance Spectroscopy

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