Prediction on the Quality of Forage Crop by Near Infrared Reflectance Spectroscopy
2009
Lee, H.W., Korea National Open University, Seoul, Republic of Korea | Kim, J.D., Cheonan Yonam College, Cheonan, Republic of Korea | Kim, W.H., National Institute of Animal Science, RDA, Cheonan, Republic of Korea | Lee, J.K., National Institute of Animal Science, RDA, Cheonan, Republic of Korea
This study was conducted to find out an alternative way of rapid and accurate analysis of forage quality. Near reflectance infrared spectroscopy (NIRS) was used to evaluate the possibility of forage analysis and collect 258 samples such as barley for whole crop silage, forage corn and sudangrass from 2002 to 2007. The samples were analyzed for CP (crude protein), CF (crude fiber), ADF (acid detergent fiber), NDF (neutral detergent fiber) and IVTD (in vitro true digestibility), and also scanned using NIRSystem with wavelength from 400~2,400nm. Multiple linear regression was used with wet analysis data for developing the calibration model and validate unknown samples. The important index in this experiment was SEC and SEP. r² for CF, CP, NDF, ADF and IVTD in calibration set were 0.70, 0.86, 0.94, 0.94 and 0.89, also 0.47, 0.39, 0.89, 0.90 and 0.61 in validation sample, respectively. The results of this experiment indicates that NIRS was reliable analytical method to assess forage quality, specially in CF, ADF and IVTD, sample should be included for respective forage samples to get accurate result. More robust calibrations can be made to cover every forage samples if added representative sample set.
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