Publication Date
1989
Description
The performance of Near Infrared Reflectance Spectroscopy (NIRS) depends critically on the sample set used in the calibration process (e.g. Hruschka and Norris, 1987; Paul, 1988). In forage quality testing a particular problem exists in that narrow based sample sets comprising only single botanical species may give equations of limited value under practical conditions. Broad based sample sets may, however, lead to equations with reduced analytical precision as compared to the former. The present work aims at a spectroscopic interpretation and a statistical validation of NIRS equations for protein and energy concentration developed from broad based and narrow based sets of forage grass and legume calibration samples.
Citation
Paul, C, "Set Up on NIRS Calibration Populations for Predicting Protein and Net Energy Content in Forage Grasses and Legumes" (2025). IGC Proceedings (1989-2023). 74.
https://uknowledge.uky.edu/igc/1989/session7/74
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Set Up on NIRS Calibration Populations for Predicting Protein and Net Energy Content in Forage Grasses and Legumes
The performance of Near Infrared Reflectance Spectroscopy (NIRS) depends critically on the sample set used in the calibration process (e.g. Hruschka and Norris, 1987; Paul, 1988). In forage quality testing a particular problem exists in that narrow based sample sets comprising only single botanical species may give equations of limited value under practical conditions. Broad based sample sets may, however, lead to equations with reduced analytical precision as compared to the former. The present work aims at a spectroscopic interpretation and a statistical validation of NIRS equations for protein and energy concentration developed from broad based and narrow based sets of forage grass and legume calibration samples.
