Evaluation of potential nirs to predict pastures nutritive value

This paper describes the capability of near infra-reflectance (NIRS) to predict the nutritional quality of pastures from southern Chile (39°-40°S). A Fourier transformed near-infrared (FT-NIR) method for rapid determination of dry matter (DM), crude protein (CP), in vitro digestibility (IVD) and met...

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Autores principales:	Lobos,I, Gou,P, Hube,S, Saldaña,R, Alfaro,M
Lenguaje:	English
Publicado:	Chilean Society of Soil Science / Sociedad Chilena de la Ciencia del Suelo 2013
Materias:	Permanent pastures animal nutrition pastures composition analytical methods
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162013000200016
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spelling	oai:scielo:S0718-951620130002000162013-09-09Evaluation of potential nirs to predict pastures nutritive valueLobos,IGou,PHube,SSaldaña,RAlfaro,M Permanent pastures animal nutrition pastures composition analytical methods This paper describes the capability of near infra-reflectance (NIRS) to predict the nutritional quality of pastures from southern Chile (39°-40°S). A Fourier transformed near-infrared (FT-NIR) method for rapid determination of dry matter (DM), crude protein (CP), in vitro digestibility (IVD) and metabolizable energy (ME) was used. Calibration models were developed between chemical and NIRS spectral data using partial least squares (PLS) regression and external validation. The coefficients of determination in calibration (R²c) were high varying between 0.89-0.99 and the root mean square errors of calibration (RMSEC) were low, ranging between 0.46-2.55 for the parameters analysed. The Residual Prediction Deviation (RPD) was higher than 2.5. Our results confirmed the convenience of using a wide range of samples applicability in the calibration set. Data also showed that the use of an independent set of samples for external validation increases the robustness of the models to predict unknown samples. Our results indicated RPD values higher than 2.5 which is the minimum recommended for this type of prediction. Thus, the result showed that NIRS was useful to estimate the nutritional quality of permanent pastures, and has a great potential to be used as a rapid decision tool for the studied analysis.info:eu-repo/semantics/openAccessChilean Society of Soil Science / Sociedad Chilena de la Ciencia del SueloJournal of soil science and plant nutrition v.13 n.2 20132013-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162013000200016en10.4067/S0718-95162013005000036
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Permanent pastures animal nutrition pastures composition analytical methods
spellingShingle	Permanent pastures animal nutrition pastures composition analytical methods Lobos,I Gou,P Hube,S Saldaña,R Alfaro,M Evaluation of potential nirs to predict pastures nutritive value
description	This paper describes the capability of near infra-reflectance (NIRS) to predict the nutritional quality of pastures from southern Chile (39°-40°S). A Fourier transformed near-infrared (FT-NIR) method for rapid determination of dry matter (DM), crude protein (CP), in vitro digestibility (IVD) and metabolizable energy (ME) was used. Calibration models were developed between chemical and NIRS spectral data using partial least squares (PLS) regression and external validation. The coefficients of determination in calibration (R²c) were high varying between 0.89-0.99 and the root mean square errors of calibration (RMSEC) were low, ranging between 0.46-2.55 for the parameters analysed. The Residual Prediction Deviation (RPD) was higher than 2.5. Our results confirmed the convenience of using a wide range of samples applicability in the calibration set. Data also showed that the use of an independent set of samples for external validation increases the robustness of the models to predict unknown samples. Our results indicated RPD values higher than 2.5 which is the minimum recommended for this type of prediction. Thus, the result showed that NIRS was useful to estimate the nutritional quality of permanent pastures, and has a great potential to be used as a rapid decision tool for the studied analysis.
author	Lobos,I Gou,P Hube,S Saldaña,R Alfaro,M
author_facet	Lobos,I Gou,P Hube,S Saldaña,R Alfaro,M
author_sort	Lobos,I
title	Evaluation of potential nirs to predict pastures nutritive value
title_short	Evaluation of potential nirs to predict pastures nutritive value
title_full	Evaluation of potential nirs to predict pastures nutritive value
title_fullStr	Evaluation of potential nirs to predict pastures nutritive value
title_full_unstemmed	Evaluation of potential nirs to predict pastures nutritive value
title_sort	evaluation of potential nirs to predict pastures nutritive value
publisher	Chilean Society of Soil Science / Sociedad Chilena de la Ciencia del Suelo
publishDate	2013
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162013000200016
work_keys_str_mv	AT lobosi evaluationofpotentialnirstopredictpasturesnutritivevalue AT goup evaluationofpotentialnirstopredictpasturesnutritivevalue AT hubes evaluationofpotentialnirstopredictpasturesnutritivevalue AT saldanar evaluationofpotentialnirstopredictpasturesnutritivevalue AT alfarom evaluationofpotentialnirstopredictpasturesnutritivevalue
_version_	1714206455095099392

Evaluation of potential nirs to predict pastures nutritive value

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