Use of near-infrared spectroscopy for prediction of chemical composition of Tifton 85 grass

Abstract

The reduction in the quality, consumption, and digestibility of forage can cause a decrease in animal performance, resulting in losses to the rural producer. Thus, it is important to monitor these characteristics in forage plants to devise strategies or practices that optimize production systems. The aim of this study was to develop and validate prediction models using near-infrared spectroscopy (NIRS) to determine the chemical composition of Tifton 85 grass. Samples of green grass, its morphological structures (whole plant, leaf blade, stem + sheath, and senescent material) and hay, totaling 105 samples were used. Conventional chemical analysis was performed to determine the content of oven-dried samples (ODS), mineral matter (MM), crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), cellulose (CEL), hemicellulose (HEM), and in vitro dry matter digestibility (IVDMD). Subsequently, all the samples were scanned using a Vis-NIR spectrometer to collect spectral data. Principal component analysis (PCA) was applied to the data set, and modified partial least squares was used to correlate reference values to spectral data. The coefficients of determination (R2) were 0.74, 0.85, 0.98, 0.75, 0.85, 0.71, 0.82, 0.77, and 0.93, and the ratio of performance deviations (RPD) obtained were 1.99, 2.71, 6.46, 2.05, 2.58, 3.84, 1.86, 2.35, 2.09, and 3.84 for ODS, MM, CP, NDF, ADF, ADL, CEL, HEM, and IVDMD, respectively. The prediction models obtained, in general, were considered to be of excellent quality, and demonstrated that the determination of the chemical composition of Tifton 85 grass can be performed using NIRS technology, replacing conventional analysis.

Estimation of in vitro digestibility and fermentation of elephant grass by near infrared spectroscopy

“…The results obtained in this study with IVDMD ( R 2 cv = .95) were similar to those observed by Serafim et al (2021), analyzing the IVDMD of 105 forage samples (whole plant, green leaf blade, stalk + sheath and senescent material) and Tifton 85 grass hay ( Cynodon spp. ), found an excellent estimate by NIRS with an R 2 c value of .93.…”

“…The basis of the NIRS analysis is the absorption of radiation by certain molecular bonds (O–H, C–H, N–H and C–O, mainly) at specific wavelengths in the near infrared (NIR) region. The NIRS technology has been used for some time to predict the nutritional value of forages, silage and hay (Andueza et al, 2016; Cleland et al, 2018; Lobos et al, 2013; Massignani et al, 2021; Molano et al, 2016; Raffrenato et al, 2018; Serafim et al, 2021).…”

Pontes Entre Agricultura Familiar E Biológica Através Da Formação Em Contexto De Trabalho

“…Los resultados encontrados para el contenido de PB, FDN y HEM fueron similares a los observados por Serafim et al (2021). Los autores utilizaron muestras de pasto verde (planta entera, limbo, tallo + vaina y material senescente) y heno del mismo pasto, totalizando 105 muestras.…”

“…La base de este método espectroscópico es la absorción de radiación a longitudes de onda específicas por ciertos enlaces moleculares en la región NIR: O-H, C-H, N-H y C-O. La tecnología NIRS se utiliza en la industria para la evaluación de alimentos (PÉREZ- MARIN et al, 2009;FERNÁNDEZ CABANÁS et al, 2011;HORCADA et al, 2020), forrajes y biomasa (ANDRES et al, 2005;DECRUYENAERE et al, 2009;ARZANI et al, 2015;ANDUEZA et al, 2016;OLIVEIRA et al, 2016;ANDERSON et al, 2018;CLELAND et al, 2018;RAFFRENATO et al, 2018;GUERRA, 2019;MASSIGNANI et al, 2021;SERAFIM et al, 2021) y la fertilidad del suelo (RECENA et al, 2019).…”

Soil Organic Matter Fractions and Multivariate Analysis in the Definition of Pasture Management Zones

“…The advancement of technologies and pasture management are essential to the livestock sector. Pastures are a source of livelihood for more than 800 million people worldwide (Quiroz et al, 2021) and in Brazil they play a high economic role in beef production (Serafim et al, 2021). Globally, grassland soils store more stable carbon (C) than other terrestrial ecosystems, playing a key role in climate change mitigation (Escribano et al, 2020;Raiesi, 2021).…”