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On-line Near-Infrared Spectroscopic Sensing Technique for Assessing Milk Quality during Milking
| Title: | On-line Near-Infrared Spectroscopic Sensing Technique for Assessing Milk Quality during Milking |
| Authors: | Kawamura, Shuso Browse this author →KAKEN DB | | Tsukahara, Maki Browse this author | | Natsuga, Motoyasu Browse this author | | Itoh, Kazuhiko Browse this author |
| Keywords: | Near-infrared spectroscopy | | dairy farming | | milk fat | | protein | | lactose | | somatic cell count | | milk urea nitrogen |
| Issue Date: | 2003 |
| Publisher: | American Society of Agricultural Engineers (ASAE) |
| Journal Title: | ASAE meeting paper |
| Start Page: | No. 033026 |
| Publisher DOI: | 10.13031/2013.13843 |
| Abstract: | There has been a need in recent years for a method that will enable dairy farmers to assess milk quality of individual cows during milking. We constructed on-line near-infrared (NIR) spectroscopic sensing system on an experimental basis. This system enables NIR spectra of unhomogenized milk to be obtained during milking over a wavelength range of 600 nm to 1050 nm. We also developed calibration models for predicting three major milk constituents (fat, protein and lactose), somatic cell count (SCC) and milk urea nitrogen (MUN) of unhomogenized milk, and we validated the precision and accuracy of the models. The coefficient of determination (r2) and standard error of prediction (SEP) of the validation set for fat were 0.95 and 0.42%, respectively. The values of r2 and SEP for protein were 0.91 and 0.09%, respectively; the values of r2 and SEP for lactose were 0.94 and 0.05%, respectively; the values of r2 and SEP for SCC were 0.82 and 0.27 log SCC/mL, respectively; and the values of r2 and SEP for MUN were 0.90 and 1.33 mg/dL, respectively. These results indicated that the NIR sensing system developed in this study could be used to assess milk quality in real time during milking. The system can provide dairy farmers with information on milk quality and physiological condition of individual cows and therefore give them feedback control for optimizing dairy farm management. |
| Description: | Written for presentation at the 2003 ASAE Annual International Meeting Sponsored by ASAE |
| Rights: | Technical presentations are not subject to the formal peer review process by ASAE editorial committees; therefore, they are not to be presented as refereed publications. Citation of this work should state that it is from an ASAE meeting paper EXAMPLE: Author's Last Name, Initials. 2003. Title of Presentation. ASAE Paper No. 03xxxx. St. Joseph, Mich.: ASAE. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/71262 |
| Appears in Collections: | 農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 川村 周三
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