참고문헌
- Annison, E. F., R. Bickerstaffe, and J. L. Linzell. 1974. Glucose and fatty acid metabolism in cows producing milk of low fat content. J. Agric. Sci. 82: 87-95. https://doi.org/10.1017/S0021859600050255
- Bartely, E. E. 1976. Bovine saliva: production and function of buffers in ruminant physiology and matabolism. Church and Dwight Co., Inc., New York.
- Chung, S. J., C. R. Lim, and B. S. Noh. 2008. Understanding the sensory characteristics of various type of milk using descriptive analysis and electronic nose. Korean J. Food Sci. Technol. 40(1): 47-55.
- Choi, B. R. 2004. Nutritional supplementing ways on feeding and management of dairy cow. Journal of Veterinary Clinics, Proceedings of the congress Korean society of veterinary clinics. pp. 5-22.
- Duncan, D. B. 1955. Multiple range and multiple F test. Biometrics. 11: 1-6. https://doi.org/10.2307/3001478
- Ha, J. K., S. S. Lee, Y. S. Moon, C. H. Kim, S. W. Seo, M. K. Beak, S. S. Lee, S. Y. Lee, W. S. Lee, J. S. Jang, and N. J. Choi. 2013. Ruminant Nutrition and Physiology. Seoul National University press.
- Han, I. K., J. K. Ha, T. H. Moon, S. S. Lee, C. H. Kim, and H. D. Kim. 1996. The effects of source and level of forage on VFA production and fermentation characteristics in the rumen of sheep. Kor. J. Anim. Nutr. Feed. 20(1): 77-86.
- Henry, E. C. 2006. Milk and milk product. Tata Mc Graw Hill Publishing Company Limited.
- Hettinga, K. A., H. J. F. van Valenberg, T. J. G. M. Lam, and A. C. M. van Hooijdonk. 2009. The origin of the volatile metabolites found in mastitis milk. Vet. Microbial. 137: 384-387. https://doi.org/10.1016/j.vetmic.2009.01.016
- Hong, Y. S. 2014. Nutritional metabolomics. J. Korean. Soc. Food. Sci. Nutr. 43(2): 179-186. https://doi.org/10.3746/jkfn.2014.43.2.179
- Jung, S. W. 2017. Seven wonders of sugar. J. Korean. Soc. Food. Sci. Nutr. 22(1): 29-32.
- Ki, K. S., D. H. Lim, T. I. Kim, S. M. Park, H. J. Lim, and K. C. Choi. 2016. Comparison of nutritive values of diets collected from organic dairy farms and conventional dairy farms from Chungnam and Jeonbuk in Korea. J. Kor. Grassl. Forage Sci. 36(1): 29-33. https://doi.org/10.5333/KGFS.2016.36.1.29
- Kim, K. H., E. J. Hong, S. J. Park, J. W. kang, and B. S. Noh. 2011. Pattern recognition analysis for volatile compounds of the whole, skim, UHT-, HTST-, and LTLT-milk under LED irradiations. Korean J. Food Sci, Ani. Resour. 31(4): 596-602. https://doi.org/10.5851/kosfa.2011.31.4.596
- Ko, M. J., D. S. Kim, S. Y. Jeong, B. Kim, O. D. Kang, S. C. Lee, and W. S. Lee. 2014. The effect of sodium bicarbonate and liquid buffer on milk yield, milk composition and blood metabolites of Holstein dairy cows.
- Korea dairy committee. 2016. Dairy statistics yearbook.
- Lawrence, D. C., M. O'Donovan, T. M. Boland, E. Lewis, and E. Kennedy. 2015. The effect of concentrate feeding amount and feeding strategy on milk production, dry matter intake, and energy partitioning of autumn-calving Holstein-Friesian cows. J. Dairy. Sci. 98(1): 338-348. https://doi.org/10.3168/jds.2014-7905
- Lee, B. H., J. G. Nejad, H. S. Kim, and K. I. Sung. 2013. Effect of forage feeding level on the milk production characteristics of Holstein lactating cows. J. Kor. Grassl. Forage Sci. 33(1): 45-51. https://doi.org/10.5333/KGFS.2013.33.1.45
- Lee, J. M., I. S. Nam, and J. H. Ahn. 2008. Effects of supplementation of ruminally protected amino acids on in vitro ruminal parameters and milk yield and milk composition of dairy cows in mid-lactation. J. Anim. Sci. & Technol. (Kor.). 50(2): 199-208. https://doi.org/10.5187/JAST.2008.50.2.199
- Li, Q., Z. Yu, D. Zhu, X. Meng, X. Pang, Y. Liu, R. Frew, H. Chen, and G. Chen. 2016. The application of NMR-based milk metabolite analysis in milk authenticity identification. J. Sci. Food. Agric. 97: 2875-2882. https://doi.org/10.1002/jsfa.8118
-
Maher, A. D., B. Hayes, B. Cocks, L. Marett, W. J. Wales, and S. Rochfort. 2013. Latent biochemical relationships in the blood-milk axis of dairy cows revealed by statistical integration of
$^{1}H$ NMR spectroscopic data. J. Proteome. Res. 12(3): 1428-1435. https://doi.org/10.1021/pr301056q - Mazzei, P. and A. Piccolo. 2018. NMR-based metabolomics of water-buffalo milk after conventional or biological feeding. Chem. Biol. Techol. Agric. 5: 3. https://doi.org/10.1186/s40538-017-0116-6
- Park, H. J. and J. H. Lee. 2012. Transcriptional analysis responding to propanol stress in Escherichia coil. J. Life. Sci. 22(3): 417-427. https://doi.org/10.5352/JLS.2012.22.3.417
- Ramautar, R., Govert W. Somsen, and Gerhardus J. de Jong. 2015. CE-MS for metabolomics: Developments and applications in the period 2012-2014(Review). Electrophoresis. 36: 212-224. https://doi.org/10.1002/elps.201400388
- Rhie, S. G. and E. K. Lee. 2015. Milk and dairy intake and acceptability in fifth- and sixth-graders in Hwaseong, Korea. Korean. J. Community. Living. Sci. 26(3): 499-509. https://doi.org/10.7856/kjcls.2015.26.3.499
- Ryu, S. Y., H. J. R, B. S. Noh, S. Y. Kim, D. K. Oh, W. J. Lee, J. R. Yoon, and S. S. Kim. 2003. Effects of various sugars including tagatose and their molar concentrations on the maillard browning reaction. Korean J. Food Sci. Technol. 35(5): 898-904.
- Sundekilde, Ulrik K., P. D. Frederiksen, M. R. Clausen, L. B. Larsen, and H. C. Bertram. 2011. Relationship between the metabolite profile and technological properties of Bovine milk from two dairy breeds elucidated by NMR-based metabolomics. J. Agric. Food. Chem. 59: 7360-7367. https://doi.org/10.1021/jf202057x
- Sundekilde, Ulrik K., Lotte B. Larsen, and Hanne C. Bertram. 2013. NMR-based milk metabolomics. 2013. Metabolites. 3(2): 204-222. https://doi.org/10.3390/metabo3020204
- Sundekilde, Ulrik K., F. Gustavsson, Nina A. Poulsen, M. Glantz, M. Paulsson, Lotte B. Larsen, and Hanne C. Bertram. 2014. Association between the bovine milk metabolome and rennet-induced coagulation properties of milk. J. Dairy. Sci. 97: 6076-6084. https://doi.org/10.3168/jds.2014-8304
- Son J. K., C. Y. Choe, S. R. Cho, H. J. Lim, S. J. Park, K. S. Baek, S. B. Kim, E. G. Kwon, Y. S. Jung, N. H. Bok, and D. S. Son. 2011. Relationship between transferable embryos and blood urea nitrogen, glucose and total cholesterol concentration in Hanwoo donors. Reprod. Dev. Biol. 35(3): 335-339.
- Wishart David S. 2008. Metabolomics: applications to food science and nutrition research (Review). Trends. Food. Sci. Technol. 19: 482-493. https://doi.org/10.1016/j.tifs.2008.03.003
- Won, J. I., C. K. Dang, H. J. Lim, Y. S. Jung, S. K. Im, and H. B. Yoon. 2016. Estimation of genetic parameter for milk production and linear type traits in Holstein dairy cattle in Korea. J. Agric. Life. Sci. 50(1): 167-178. https://doi.org/10.14397/jals.2016.50.1.167
- Woo, S. H., J. W. Jhoo, W. B. Yoon, and G. Y. Kim. 2010. Effect of trehalose and sugar alcohol on the viability of lactic acid bacteria and quality characteristics during frozen storage of yoghurt. Food. Eng. Prog. 14(1): 14-20.
- Yang, Y., N. Zheng, X. Zhao, Y. Zhang, R. Han, J. Yang, S. Zhao, S. Li, T. Guo, C. Zang, and J. Wang. 2016. Metablomic biomarkers identify differences in milk produced by Holstein cows and other minor dairy animals. J. Proteomics. 136: 174-182. https://doi.org/10.1016/j.jprot.2015.12.031