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Correlation Analysis Between Milking Levels and Automatic Milking System of Dairy Cattle

젖소의 산유수준과 자동착유시스템간의 상관관계 분석

  • Nam, In-Sik (Department of Animal Life and Environment Science, Hankyong National University) ;
  • Chang, Kyeong-Man (Department of Animal Life and Environment Science, Hankyong National University) ;
  • Son, Yong-Suk (Division of Biotechnology, Korea University) ;
  • Ki, Kwang-Seok (National Institute of Animal Science, R.D.A) ;
  • Jung, Ha-Yeon (National Institute of Animal Science, R.D.A) ;
  • Kang, Hee-Seol (National Institute of Animal Science, R.D.A) ;
  • Park, Seong-Min (National Institute of Animal Science, R.D.A)
  • Received : 2015.04.27
  • Accepted : 2015.06.11
  • Published : 2015.06.30

Abstract

Total three hundred and fourteen dairy cows were used in this study to analysis of correlation between milking levels and automatic milking system (AMS). Cows were divided into five groups according to their milking levels (over 50 kg/day, 49~40 kg/day, 39~30 kg/day, 29~20 kg/day, 19~10 kg/day). All groups were compared with daily milking number, rejected number by AMS, residence time at AMS, milking time, flow rate of milk. Daily milking number and milking time were higher in the group of over 50 kg and 49~40 kg than that of other groups (p<0.05). There are no correlation on rejected number by AMS, residence time at AMS and flow rate of milk between milking levels and AMS. In addition, we found that the milk yield affected to feed intake and rumination of dairy cows. In conclusion, present results indicated that installation of AMS on dairy farms with high milk producing cows might be affected positively.

Keywords

References

  1. Ahn, B.S., Jeon, B.S., Back, K.S., Park, S.J., Lee, H.J., Lee, W.S., Kim, B.S., Park, S.B., Kim, H.S., Ju, J.C., Khan, M.A., 2005. The effects of variation factors on milk yield and variation in milk yield between milking, milk components milking duration, and milking flow rate in Holstein dairy cattle. J. Anim. Sci & Technol. 47, 919-924. https://doi.org/10.5187/JAST.2005.47.6.919
  2. Ahn, B.S., Ju, J.C., Jeon, B.S., Back, K.S., Park, S.B., 2006. Genetic parameters for milking duration, milk flow and milk yield per milking in Holstein dairy cattle. J. Anim. Sci & Technol. 48, 487-492. https://doi.org/10.5187/JAST.2006.48.4.487
  3. ARC. 1980. The Nutrient Requirements of Ruminant Livestock. Common wealth Agricultural Bureaux. Slough. England. UK.
  4. Balch, C.C., 1958. The observation of the act of eating in cattle. Br. J. Nutr. 12, 3330-3345.
  5. Berglund, I., Pettersson, G., Svennersten- Sjaunja, K., 2002. Automatic milking: Effects on somatic cell count and teat end quality. Livest. Prod. Sci. 78, 115-124. https://doi.org/10.1016/S0301-6226(02)00090-8
  6. Cho, K.H., Choi, J.P., Byung, W.Y., Lee, D.H., Kong, H.S., Park, J.D., Lee, H.K., 2009. Analysis of dairy milking flow in Holstein cow using the lactocorder. J. Anim. Sci & Technol. 51, 265-272. https://doi.org/10.5187/JAST.2009.51.4.265
  7. de Koning, K., Slaghuis, B., van der Vorst, Y., 2003. Robotic milking and milk quality: Effects on bacterial counts, somatic cell counts, freezing points and free fatty acids. Ital. J. Animl. Sci. 2, 291-299. https://doi.org/10.4081/ijas.2003.291
  8. Hagen, K., Langbein, J., Schmied, C., Lexer, D., Waiblinger, S. 2005. Heart rate variability in dairy cows-Influences of breed and milking system. Physiol. Behave. 85, 195-204. https://doi.org/10.1016/j.physbeh.2005.03.019
  9. Han, H.Y., 1994. Record analysis for mastitis control. 1994. Korean J. Vat. Res, 30. 592-615.
  10. Ki, K.S., Jeong, Y.H., Park, S.J., Kim, S.B., Lee, W.S., Lee, H.J., Lim, D.H., Kim, H.S., Kwon, E.G., Cho, M.Y., Jeo, J.M., 2011. Comparison of milk yield and milk composition between before and after auto milking system (AMS) use in dairy cow. J. Lives. Hous. & Env. 17, 189-196.
  11. Melin, M., Wiktorsson, H., Norell, L., 2005. Analysis of feeding and drinking patterns of dairy cows in two cow traffic situations in automatic milking system. J. Dairy. Sci. 88, 71-85. https://doi.org/10.3168/jds.S0022-0302(05)72664-3
  12. Moon, J.Y., Chang, K.M., Nam, I.S., Park, S.M., Oh, N.S., Son, Y.S., 2014. Effects of automatic milking systems on raw milk quality and milk fat properties with or without feeding protected fat. Korean J. Dairy Sci. Technol. 32, 63-70.
  13. Nam, I.S., Heo, B.M., Park, H.K., Min, T.H., Son, Y.S., Park, S.M., Kwon, E.G., Chang, K.M., 2014. Effect of types of milking instrument and season on milk composition in Holstein-fiesian lactating cows. J. Lives. Hous. & Env. 20, 97-104.
  14. Nam, I.S., Kim, H.S., Seo, K.M., Ahn, J.H., 2014. Analysis of HACCP system implementation on productivity, advantage and disadvantage of laying hen in Korea. Korean J. Poult. Sci. 41, 93-98. https://doi.org/10.5536/KJPS.2014.41.2.93
  15. Rasmussen, M.D., Blom, J.Y., H Nielsen, L.A., Justesen, P., 2001. Udder health of cows milked automatically. Livest. Prod. Sci. 72, 147-156. https://doi.org/10.1016/S0301-6226(01)00275-5
  16. Pearce, G.R., 1965. Rumination in sheep: The investigation of some possible control mechanisms. Aust. J. Agri. Res. 16. 837-856. https://doi.org/10.1071/AR9650837
  17. SAS. 2000. SAS User's Guide. Statistics, Version 8.0 Edition. SAS Instute. Inc. Cary, NC.
  18. Stewart, S., Godden, S., Rapnicki, P., Reid, D., Joihnson, A., Eicker. S., 2002. Effects of automatic cluster remover settings on average milking duration, milk flow, and milk yield. J. Dairy Sci. 85. 818-823. https://doi.org/10.3168/jds.S0022-0302(02)74141-6
  19. Svennersten-Sjaunja, K.M, Berglund, I., Pettersson, G., 2000. The milking process in an automated milking system, evaluation of milk yield, teat condition and udder health. in: robotic milking: proceedings of the international symposium held in lelystad, Netherlands, Wageningen, 277-288.
  20. Svennersten-Sjaunja K.M., Pettersson, G., 2007. Pro and cons of automatic milking in Europe. J. Animl. Sci. 2008. 86, 37-46.