Prediction on the Quality of Total Mixed Ration for Dairy Cows by Near Infrared Reflectance Spectroscopy
2009
Ki, K.S., National Institute of Animal Science, RDA, Cheonan, Republic of Korea | Kim, S.B., National Institute of Animal Science, RDA, Cheonan, Republic of Korea | Lee, H.J., National Institute of Animal Science, RDA, Cheonan, Republic of Korea | Yang, S.H., National Institute of Animal Science, RDA, Cheonan, Republic of Korea | Lee, J.S., National Institute of Animal Science, RDA, Cheonan, Republic of Korea | Jin, Ze Lin, National Institute of Animal Science, RDA, Cheonan, Republic of Korea | Kim, H.S., National Institute of Animal Science, RDA, Cheonan, Republic of Korea | Jeo, J.M., Korea National Agricultural College, Hwaseong, Republic of Korea | Koo, J.Y., Cargill-Agri Purina, Inc., Seongnam, Republic of Korea | Cho, J.K., Nanomarkers Co., Ltd., Yongin, Republic of Korea
The present study was conducted to develop a rapid and accurate method of evaluating chemical composition of total mixed ration (TMR) for dairy cows using near infrared reflectance spectroscopy (NIRS). A total of 253 TMR samples were collected from TMR manufacturers and dairy farms in Korea. Prior to NIR analysis, TMR samples were dried at 65℃ for 48 hour and then ground to 2 mm size. The samples were scanned at 2 nm interval over the wavelength range of 400-2500 nm on a FOSS-NIR Systems Model 6500. The values obtained by NIR analysis and conventional chemical methods were compared. Generally, the relationship between chemical analysis and NIR analysis was linear: R² and standard error of calibration (SEC) were 0.701 (SEC 0.407), 0.965 (SEC 0.315), 0.796 (SEC 0.406), 0.889 (SEC 0.987), 0.894 (SEC 0.311), 0.933 (SEC 0.885) and 0.889 (SEC 1.490) for moisture, crude protein, ether extract, crude fiber, crude ash, acid detergent fiber (ADF) and neutral detergent fiber (NDF), respectively. In addition, the standard error of prediction (SEP) value was 0.371, 0.290, 0.321, 0.380, 0.960, 0.859 and 1.446 for moisture, crude protein, ether extract, crude fiber, crude ash, ADF and NDF, respectively. The results of the present study showed that the NIR analysis for unknown TMR samples would be relatively accurate. Use of the developed NIR calibration curve can obtain fast and reliable data on chemical composition of TMR. Collection and analysis of more TMR samples will increase accuracy and precision of NIR analysis to TMR.
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