Calibration models for the nutritional quality of fresh pastures by near-infrared reflectance spectroscopy

Iris Lobos; Cristian J. Moscoso; Paula Pavez

Keywords: forage, nirs, nutritive value, forraje, calibration models, external validation, Calidad nutritiva, modelos de calibración, validación externa

Abstract

High levels of animal performance and health depend on high-quality nutrition. Determining forage quality both reliably and quickly is essential for improving animal production. The present study describes the use of near infrared reflectance spectroscopy (NIRS) for the quantification of nutritional quality (dry matter (DM), water-soluble carbohydrates (WSC), crude protein (CP), in vitro dry matter digestibility (DMD), organic matter digestibility (OMD), neutral detergent fiber (NDF) and the WSC/CP ratio) in samples from fresh pastures in southern Chile (39 degrees to 40 degrees S). Calibration models were developed with wet chemistry and NIRS spectral data using partial least squares regression (PLSR). The coefficients of determination in the validation set ranged between 0.69 and 0.93, and the error of prediction varied from 0.064 to 2.89. The evaluation of the model confirmed the high predictive ability of NIRS for DM and CP and its low predictive ability for DMD, OMD, NDF and the WSC/CP ratio. It was not possible to obtain a model for WSC because it would have required an increased number of samples to improve the spectral variability and the R-2 value (>80%).

Más información

Título según WOS: Calibration models for the nutritional quality of fresh pastures by near-infrared reflectance spectroscopy
Título según SCOPUS: Calibration models for the nutritional quality of fresh pastures by near-infrared reflectance spectroscopy [Modelos de calibración para la cuantificación nutricional de praderas frescas mediante espectroscopía de infrarojo cercano]
Título según SCIELO: Calibration models for the nutritional quality of fresh pastures by near-infrared reflectance spectroscopy
Título de la Revista: CIENCIA E INVESTIGACION AGRARIA
Volumen: 46
Número: 3
Editorial: PONTIFICIA UNIV CATOLICA CHILE, FAC AGRONOMIA INGENIERIA FORESTAL
Fecha de publicación: 2019
Página de inicio: 234
Página final: 242
Idioma: English
DOI:

10.7764/rcia.v46i3.2020

Notas: ISI, SCIELO, SCOPUS