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http://dx.doi.org/10.5333/KGFS.2019.39.4.292

Evaluation of Feed Values for Whole Crop Rice Using Near Infrared Reflectance Spectroscopy  

Kim, Ji Hye (National Institute of Animal Science)
Lee, Ki-Won (National Institute of Animal Science)
Oh, Mirae (National Institute of Animal Science)
Park, Hyung Soo (National Institute of Animal Science)
Publication Information
Journal of The Korean Society of Grassland and Forage Science / v.39, no.4, 2019 , pp. 292-297 More about this Journal
Abstract
In this study, whole crop rice samples were used to develop near-infrared reflectance (NIR) equations to estimate six forage quality parameters: Moisture, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), Ash and relative feed value (RFV). A population of 564 whole crop rice representing a wide range in chemical parameters was used in this study. Undried finely chopped whole crop rice samples were scanned at 1 nm intervals over the wavelength range 680-2500 nm and the optical data recorded as log 1/Reflectance (log 1/R). NIRS calibrations were developed by means of partial least-squares (PLS) regression. The correlation coefficients of cross-validation (R2cv) and standard error of cross-validation (SECV) for whole crop rice calibration were 0.98 (SECV 1.81%) for moisture, 0.89 (SECV 0.50%) for CP, 0.86 (SECV 1.79%) for NDF, 0.89 (SECV 0.86%) for ash, and 0.84 (SECV 5.21%) for RFV on a dry matter (%), respectively. The NIRS calibration equations developed in this study will be useful in predicting whole crop rice quality for these six quality parameters.
Keywords
Near infrared reflectance spectroscopy; Forage quality; Moisture; Whole crop rice;
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Times Cited By KSCI : 7  (Citation Analysis)
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