Evaluation of potential nirs to predict pastures nutritive value
Visualitza/Obre
Data de publicació
2013-05-22ISSN
0718-9508
Resum
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.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
Anglès
Matèries (CDU)
663/664 - Aliments i nutrició. Enologia. Olis. Greixos
Pàgines
6
Publicat per
Springer
Publicat a
Journal of Soil Science and Plant Nutrition
Citació
Lobos, I., P. Gou, S. Hube, R. Saldaña, and M. Alfaro. 2013 “Evaluation of potential nirs to predict pastures nutritive value”. Journal of Soil Science and Plant Nutrition 13 (2): 463-468. doi: 10.4067/S0718-95162013005000036.
Programa
Qualitat i Tecnologia Alimentària
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