Effect of Sample Preparations on Prediction of Chemical Composition for Corn Silage by Near Infrared Reflectance Spectroscopy
2006
Park, H.S. (National Institute of Subtropical Agriculture, RDA, Jeju, Republic of Korea), E-mail: [email protected] | Lee, J.K. (National Livestock Research Institute, RDA, Cheonan, Republic of Korea) | Lee. H.W. (Korea National Open University, Seoul, Republic of Korea) | Hwang, K.J. (National Institute of Subtropical Agriculture, RDA, Jeju, Republic of Korea) | Jung, H.Y. (National Institute of Subtropical Agriculture, RDA, Jeju, Republic of Korea) | Ko, M.S. (National Institute of Subtropical Agriculture, RDA, Jeju, Republic of Korea)
Near infrared reflectance spectroscopy (NIRS) has been increasingly used as a rapid, accurate method of evaluating some chemical compositions in forages. Analysis of forage quality by NIRS usually involves dry ground samples. Costs might be reduced if samples could be analyzed without drying or grinding. The objective of this study was to investigate effect of sample preparations and spectral math treatments on prediction ability of chemical composition for corn silage by NIRS.
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