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Correlation Analysis Between Milking Levels and Automatic Milking System of Dairy Cattle
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  • Journal title : Journal of Animal Environmental Science
  • Volume 21, Issue 2,  2015, pp.65-70
  • Publisher : Korean Association for Livestock Housing and Environment
  • DOI : 10.11109/JAES.2015.21.2.65
 Title & Authors
Correlation Analysis Between Milking Levels and Automatic Milking System of Dairy Cattle
Nam, In-Sik; Chang, Kyeong-Man; Son, Yong-Suk; Ki, Kwang-Seok; Jung, Ha-Yeon; Kang, Hee-Seol; Park, Seong-Min;
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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.
Automatic milking system;Milk yield;Milking number;Rejected number;
 Cited by
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. crossref(new window)

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. crossref(new window)

ARC. 1980. The Nutrient Requirements of Ruminant Livestock. Common wealth Agricultural Bureaux. Slough. England. UK.

Balch, C.C., 1958. The observation of the act of eating in cattle. Br. J. Nutr. 12, 3330-3345.

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

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. crossref(new window)

Han, H.Y., 1994. Record analysis for mastitis control. 1994. Korean J. Vat. Res, 30. 592-615.

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.

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. crossref(new window)

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.

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.

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. crossref(new window)

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. crossref(new window)

Pearce, G.R., 1965. Rumination in sheep: The investigation of some possible control mechanisms. Aust. J. Agri. Res. 16. 837-856. crossref(new window)

SAS. 2000. SAS User's Guide. Statistics, Version 8.0 Edition. SAS Instute. Inc. Cary, NC.

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. crossref(new window)

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.

Svennersten-Sjaunja K.M., Pettersson, G., 2007. Pro and cons of automatic milking in Europe. J. Animl. Sci. 2008. 86, 37-46.