Analysis of Some Important Forage Quality Attributes of Southeastern Wildrye (<i>Elymus glabriflorus</i>) Using Near-Infrared Reflectance Spectroscopy

Abstract

Southeastern wildrye (Elymus glabriflorus, Vasey ex L.H. Dewey) is a cool-season, perennial grass native to southeastern United States. Recently, there is a growing interest in its development as a grazing and haying forage crop due to its wide area of adaptation across this region. Consequently, there is a great need for the evaluation of its forage quality by rapid, but accurate analytical methods like Near-Infrared Reflectance Spectroscopy (NIRS). In this study, acceptable NIRS calibration models were developed for: dry matter, DM (n = 113, R 2 = 0.904, RSCD = 2.54, RSCIQ = 4.65); crude protein, CP (n = 113, R 2 = 0.974, RSCD = 5.16, RSCIQ = 5.92); acid detergent fiber, ADF (n = 116, R 2 = 0.896, RSCD = 2.35, RSCIQ = 1.28); neutral detergent fiber, NDF (n = 118, R 2 = 0.934, RSCD = 2.53, RSCIQ = 3.38); digestible dry matter, DDM (n = 116, R 2 = 0.895, RSCD = 2.36, RSCIQ = 1.35); dry matter intake, DMI (n = 115, R 2 = 0.924, RSCD = 2.40, RSCIQ = 2.53); and relative feed value, RFV (n = 114, R 2 = 0.932, RSCD = 2.94, RSCIQ = 2.81). Prediction of independent validation sets yielded good agreement between the NIRS predicted values and the laboratory reference values for each of: DM (n = 53, R 2 = 0.831, RPD = 2.45, RPIQ = 4.24); CP (n = 57, R 2 = 0.967, RPD = 5.37, RPIQ = 7.16); ADF (n = 49, R 2 = 0.895, RPD = 2.97, RPIQ = 1.51); NDF (n = 53, R 2 = 0.928, RPD = 3.75, RPIQ = 4.22); digestible dry matter, DDM (n = 55, R 2 = 0.860, RSCD = 265, RSCIQ = 1.15); dry matter intake, DMI (n = 156, R 2 = 0.845, RSCD = 2.48, RSCIQ = 2.11); and relative feed value, RFV (n = 55, R 2 = 0.916, RSCD = 3.45, RSCIQ = 3.04) contents, indicating that all seven calibration models had good quantitative information. Therefore, precise, accurate, and rapid analysis of these important forage quality attributes of southeastern wildrye can be routinely done using the developed NIRS calibration models.

Spatial and Temporal Monitoring of Pasture Ecological Quality: Sentinel-2-Based Estimation of Crude Protein and Neutral Detergent Fiber Contents

“…The SWIR region is also widely used for CP and NDF estimation in forage [6,7,13,29,76,78,[92][93][94][95][96][97][98]. Our results are in agreement with other studies that have also reported the importance of the SWIR region, and specifically for the wavelengths of 2202 nm (CP in rapeseed, R 2 = 0.98 [99] and 2204 nm (NDF in forage, R 2 = 0.97 [16].…”

Near‐infrared spectroscopic models for analysis of winter pea (Pisum sativumL.) quality constituents

“…For developing and validating the calibration models in the present study, we used the basic methods described in detail earlier by Saha et al . and Rushing et al . The important differences of the present study compared to the earlier studies are adequately described below, allowing an opportunity to follow the protocol for future studies (if needed).…”

Analysis of Various Quality Attributes of Sunflower and Soybean Plants by Near Infrared Reflectance Spectroscopy: Development and Validation Calibration Models

“…However, this study has some important differences with the earlier study [31] as described and discussed adequately hereunder paying due attention to be brief but giving the full opportunity to the other researchers to follow the protocol for their future studies (if needed).…”

“…The basic protocols used to develop and validate the calibration models in this study have been elaborately described earlier by Rushing et al [31]. However, this study has some important differences with the earlier study [31] as described and discussed adequately hereunder paying due attention to be brief but giving the full opportunity to the other researchers to follow the protocol for their future studies (if needed).…”