Abstract

This study was undertaken at the Feed Quality Control Laboratory, DLS, Savar, Dhaka, to calibrate and validate corn silage nutritional parameters- Van Soest cell wall constituents (ADF, NDF, and ADL) in the Near-infrared Spectrophotometer (Bruker-MPA, Germany) systems monochromator (700- 9500 nm) range was used for the rapid analysis of available corn silage. Almost 52 samples were analyzed at the QC lab wet chemistry laboratory to know the available nutrients. In the 2nd part of this study, developed local calibration equations in the NIRS using OPUS (Optical User Software) to relate the spectral data and corresponding wet chemistry values. A Quartz sample cup was used to hold the sample on the Infrared light scanner and used XPM was MPAII sphere macrosample_64_rotating_Res16-DLS.XPM. Fresh samples were dried and ground through 2mm screen for the analysis. The value for each component was placed into the calibration group for NIRS equation development. After calibration in NIR, the root means a square error of estimation (RMSEE) for the determination of ADF%, ADL%, and NDF%, were, 1.56, 0.47, and 1.15, with the correlation coefficient (r2) of 93.31, 95.43, and 97.86 respectively which are very close to the mean laboratory values. Whereas after cross-validation, RMSECV (Root Mean Square Error Cross-Validation) were 1.97, 0.598, and 1.55, along with the r2 values 87.02%, 90.23%, and 95.32%, respectively. The accuracy% of the predicted values in NIRS was between 98.94-100.16% which are very close to the mean laboratory values. It can be concluded that NIR could be a potential instrument to predict the nutritional quality of corn silage in Bangladesh.

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