Prediction of the Chemical Composition and Fermentation Parameters of Winter Rye Silages by Near Infrared Spectroscopy

Abstract

This study was carried out to explore the accuracy of near infrared spectroscopy (NIRS) for the prediction of chemical and fermentation parameters of whole crop winter rye silages. A representative population of 216 fresh winter rye silages was used as database for studying the possibilities of NIRS to predict chemical composition and fermentation parameters. Samples of silage were scanned at 1 nm intervals over the wavelength range 680~2,500 nm and the optical data recorded as log 1/Reflectance (log 1/R) and scanned in fresh condition. NIRS calibrations were developed by means of partial least-squares (PLS) regression. NIRS analysis of fresh winter rye silages provided accurate predictions of moisture, acid detergent fiber (ADF), neutral detergent fiber (NDF), crude protein (CP) and pH as well as lactic acid content with correlation coefficients of cross-validation (R 2 cv) of 0.96, 0.86, 0.79, 0.85, 0.82 and 0.78 respectively and standard error of cross-validation (SECV) of 1.89, 2.02, 2.79, 1.14, 1.47 and 0.46 % DM respectively. Results of this experiment showed the possibility of NIRS method to predict the chemical parameters of winter rye silages as routine analysis method in feeding value evaluation and for farmer advice.

Effect of Inoculants and Sealing Delay on the Fermentation Quality of Early Harvested Wheat Forage

“…Although NIRS may not be more precise and accurate than chemical analysis, it is considered a reliable and repeatable tool in agriculture research [35][36][37][38][39][40]. The NIRS's success is related to its rapidity and costeffectiveness in sample analysis [41]. Furthermore, the elimination of the drying procedure for sample preparation helps to prevent the loss of volatile compounds [42].…”

Predicción de la calidad fermentativa de ensilados de girasol mediante espectroscopía de reflectancia en el infrarrojo cercano (NIRS) sobre muestras secas

“…Un trabajo realizado con un colectivo similar al de este trabajo, una colección de 50 muestras secas y molidas de ensilados experimentales de girasol, cuyo resultado mostró una menor capacidad predictiva para la estimación del pH que en el presente trabajo, con valores inferiores de r 2 vc (0.86), RER (5.9), RPD (2.5) y mayor de EEVC (0.44) (22) . En otros trabajos, sobre muestras en estado fresco, han obtenido una menor capacidad predictiva para el valor de pH que en este trabajo, con valores de r 2 vc de 0.85, 0.72 y 0.78 en ensilados de hierba (4) , ensilados de cebada (23) y ensilados de raigrás (24) , respectivamente.…”

Studies on 5 Protein Fractions Prediction of Forage Legume Mixture by NIRS

“…In Korea, the NIRS method was tested on various forages, such as Italian ryegrass (Lee, 1996), Italian ryegrass silages (Park et al, 2012), rice straw (Lee and Park, 2001), and corn silage (Park et al, 2006), for the estimation of forage quality parameters. However, NIRS has not been widely used for the estimation of the five CP fractions.…”