Archived
This content is available here strictly for research, reference, and/or recordkeeping and as such it may not be fully accessible. If you work or study at University of Kentucky and would like to request an accessible version, please use the SensusAccess Document Converter.
Publication Date
1981
Description
Near-infrafred (NIR) reflectance spectroscopy can be used to predict the quality of forages and their chemical composition. Studies were conducted on warm-season grasses with a filter-type NIR reflectance spectrometer to evaluate the NIR technique and the tilting filter spectrometer. Hay and drum-dehydrated samples of bermudagrass were used. A monochromator NIR reflectance spectrometer was used to narrow the possibilities of wavelengths to be investigated. The following compositional and quality parameters were determined: crude fiber (CF), fat, acid detergent fiber (ADF), neutral detergent fiber (NDF), crude protein (CP), acid-insoluble lignin (AIL), and in-vivo digestibility of dry matter (DDM). The results of bermudagrass hays (20 for calibration, 22 for prediction) were similar, with standard errors of calibration and prediction of CP 1.15 and 0.84; ADF 2.46 and 1.42; NDF 2.06 and 1.39; AIL 0.50 and 0.51; and DDM 1. 78 and 2.54, respectively. When drum-dehydrated samples were examined, new wavelengths were chosen and the standard errors of calibration and prediction were CP 0.87 and 0.89; CF 0.54 and 1.54; and fat 0.73 and 0 . .37, respectively, with 20 samples in calibration set and 26 in the prediction set. All of these analyses were made using a second-derivative mathematical treatment. The use of a delta OD at one wavelength divided by delta OD at another wavelength (AODJAOD2) mathematical treatment improved the standard errors of calibration and prediction of CP for drum-dehydrated bermudagrass (CP 0.58 and 0.61, respectively).
Citation
Barton, F E. II and Burdick, D, "Prediction of Forage Quality with NIR Reflectance Spectroscopy" (1981). IGC Proceedings (1977-2023). 16.
(URL: https://uknowledge.uky.edu/igc/1981/section8/16)
Archival?
Archival
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Prediction of Forage Quality with NIR Reflectance Spectroscopy
Near-infrafred (NIR) reflectance spectroscopy can be used to predict the quality of forages and their chemical composition. Studies were conducted on warm-season grasses with a filter-type NIR reflectance spectrometer to evaluate the NIR technique and the tilting filter spectrometer. Hay and drum-dehydrated samples of bermudagrass were used. A monochromator NIR reflectance spectrometer was used to narrow the possibilities of wavelengths to be investigated. The following compositional and quality parameters were determined: crude fiber (CF), fat, acid detergent fiber (ADF), neutral detergent fiber (NDF), crude protein (CP), acid-insoluble lignin (AIL), and in-vivo digestibility of dry matter (DDM). The results of bermudagrass hays (20 for calibration, 22 for prediction) were similar, with standard errors of calibration and prediction of CP 1.15 and 0.84; ADF 2.46 and 1.42; NDF 2.06 and 1.39; AIL 0.50 and 0.51; and DDM 1. 78 and 2.54, respectively. When drum-dehydrated samples were examined, new wavelengths were chosen and the standard errors of calibration and prediction were CP 0.87 and 0.89; CF 0.54 and 1.54; and fat 0.73 and 0 . .37, respectively, with 20 samples in calibration set and 26 in the prediction set. All of these analyses were made using a second-derivative mathematical treatment. The use of a delta OD at one wavelength divided by delta OD at another wavelength (AODJAOD2) mathematical treatment improved the standard errors of calibration and prediction of CP for drum-dehydrated bermudagrass (CP 0.58 and 0.61, respectively).
