Asian Journal of Dairy and Food Research, volume 40 issue 1 (march 2021) : 25-29

Comparative Study of Automation and Conventional System on Production Performance in Dairy Farms

K. Abhijeet, S.B. Prasanna, P.S. Mahesh, M.D. Gouri, M.P. Vivek, S.K. Bhandekar, S.M. Ali, K.D. Masood, Prabha Karan
1Department of Livestock Production and Management, Veterinary College, Hebbal, Bangalore-560 024, Karnataka, India. 
Cite article:- Abhijeet K., Prasanna S.B., Mahesh P.S., Gouri M.D., Vivek M.P., Bhandekar S.K., Ali S.M., Masood K.D., Karan Prabha (2021). Comparative Study of Automation and Conventional System on Production Performance in Dairy Farms. Asian Journal of Dairy and Food Research. 40(1): 25-29. doi: 10.18805/ajdfr.DR-1607.
Background: The Indian dairy industry has progress consistently ever since the White revolution of the 1970s, making India, the world’s largest and fastest producer of milk with 17 per cent global share. The Indian dairy market is expected to double within the next 10 years, primarily driven by over 16-20 per cent growth in value added dairy segment. To catch this high growth potential and to meet the rising demand, a sustainable and strong dairy production system will be critical. 
Methods: A study was conducted between December 2018 and February 2019 at four different dairy farms. The farms were identified based on rearing systems practiced. The farms were divided into two groups where the first one (n=10 dairy cattle) utilized automatic rearing systems (the ARS farms), while the second group (n=10) had conventional rearing systems (the CRS farms).
Result: Based on the results, the effect of different rearing systems on the average lactation yield in the fourth lactation was significantly higher (P≤0.05) in automatic rearing system. The lactation yield of both the treatment groups was not significant till third lactation. There was no significant difference observed in persistency of milk production in both the rearing systems. Reproductive performance of the ARS houses had better age at first calving and service period as compared to conventional house type with significant difference. By using an ARS it is possible to save time and achieve greater flexibility. The experiment indicates less man power minutes required for routine daily work like feeding, watering and milking in automatic rearing system as compare to conventional rearing system. A significant (P≤0.01) reduction in working time by comparison with a different feeding, watering and management system however can only be expected in the case of sizeable herds. It appears that not much time can be saved with herds numbering 60 animals, but flexibility for the farm manager becomes significantly greater. In view of the relatively high amount invested in ARS, the profitability of such a system must be decided on a farm by farm basis. In principle an ARS can be a good opportunity for optimizing working time and workload in dairy farming. 
  1. Ali, T., Lemma, A. and Yilma, T. (2015). Effect of management practices on reproductive performance of small holder dairy cattle. Austin Journal of Veterinary Science and Animal Husbandry. 2(3): 10-15.
  2. Anonymous, (2017). Establishment of HI-tech dairy farming unit and connecting India to the world. Vibrant Gujarat Global Summit. 08(1): 03-05.
  3. Axelsson, T. and Birk, U. Delaval Holding Ab, (2012). Milking parlour and method for operating the same. U.S. Patent 8,281,743.
  4. Basic Animal Husbandry and Fisheries Statistics. (2019). Government of India, New Delhi, India.
  5. Belle, Z., André, G. and Pompe, J.C.A.M. (2012). Effect of automatic feeding of total mixed rations on the diurnal visiting pattern of dairy cows to an automatic milking system. Biosystems Engineering. 111(1): 33-39.
  6. Bisaglia, C., Belle, Z., Van Den Berg, G. and Pompe, J.C. (2012). Automatic vs. conventional feeding systems in robotic milking dairy farms: a survey in the Netherlands. In International Conference of Agricultural Engineering CIGR-AgEng: Agriculture and Engineering for a Healthier Life. Federation de Gremios de Editores de Espana, p.1-6.
  7. Carolan, M. (2020). Automated agrifood futures: robotics, labor and the distributive politics of digital agriculture. The Journal of Peasant Studies. 47(1):184-207.
  8. Carson, A.F., Dawson, L.E.R., Mccoy, M.A., Kilpatrick, D.J. and Gordon, F.J. (2002). Effects of rearing regime on body size, reproductive performance and milk production during the first lactation in high genetic merit dairy herd replacements. Animal Science. 74(3): 553-565.
  9. Carson, A.F., Wylie, A.R.G., Mcevoy, J.D.G., Mccoy, M. and Dawson, L.E.R. (2000). The effects of plane of nutrition and diet type on metabolic hormone concentrations, growth and milk production in high genetic merit dairy herd replacements. Animal Science. 70(2): 349-362.
  10. Clark, C.E.F., Farina, S.R., Garcia, S.C., Islam, M.R., Kerrisk, K.L. and Fulkerson, W.J. (2016). A comparison of conventional and automatic milking system pasture utilization and pre and post grazing pasture mass. Grass and Forage Sci. 71(1): 153-159.
  11. Coppock, C.E. (1977). Feeding methods and grouping systems. Journal of Dairy Science. 60: 1327-1336.
  12. De Koning, K. (2010). Automatic milking-Common practice on dairy farms. Automatic milking-Common practise on dairy farms Proc. First North American Conference on Precision Dairy Management, Toronto, Canada, pp. 52-67. 
  13. Dijkhuisen, A.A. and Morris, R.S. (1997). Animal Health Economics. Principles and Applications. Post Graduate Foundation in Veterinary Science, University of Sydney.
  14. Domecq, J.J., Skidmore, A.L., Lloyd, J.W. and Kaneene, J.B. (1997). Relationship between body condition scores and conception at first artificial insemination in a large dairy herd of high yielding holstein cows. Journal of Dairy Science. 80(1): 113-120.
  15. Grossman, M. and Koops, W.J. (2003). Modeling extended lactation curves of dairy cattle: A biological basis for the multiphasic approach. Journal of Dairy Science. 86(3): 988-998.
  16. Grothmann, A., Nydegger, F., Häußermann, A. and Hartung, E. (2010). Automatic feeding system (AFS)-potential for optimization in dairy farming. Landtechnik. 65(2):129-131.
  17. Jacobs, J.A. and Siegford, J.M. (2012). Invited review: The impact of automatic milking systems on dairy cow management, behaviour, health and welfare. Journal of Dairy Science. 95(5): 2227-2247.
  18. Klei, L.R., Lynch, J.M., Barbano, D.M., Oltenacu, P.A., Lednor, A.J. and Bandler, D.K. (1997). Influence of milking three times a day on milk quality. Journal of Dairy Science. 80(3): 427-436.
  19. Lammers, B.P., Heinrichs, A.J. and Kensinger, R.S. (1999). The effects of accelerated growth rates and estrogen implants in prepubertal Holstein heifers on growth, feed efficiency and blood parameters. Journal of Dairy Science. 82(8): 1746-1752.
  20. Leaver, J.D. (1977). Rearing of dairy cattle. Effect of level of nutrition and body condition on the fertility of heifers. Animal Science. 25(2): 219-224.
  21. Livestock Census (2019). 20th Livestock Census All India Report, Ministry of Agriculture, Department of Animal Husbandry, Dairying and Fisheries, Government of India, New Delhi. 
  22. Millogo, V., Ouédraogo, G.A., Agenäs, S. and Svennersten-Sjaunja, K. (2008). Survey on dairy cattle milk production and milk quality problems in peri-urban areas in Burkina Faso. African. Journal of Agricultural Research. 3(3): 215-224.
  23. Obese, F.Y., Okantah, S.A., Oddoye, E.O.K. and Gyawu, P. (1999). Post-partum reproductive performance of Sanga cattle in smallholder peri-urban dairy herds in the Accra plains of Ghana. Tropical Animal Health and Production. 31(3): 181-190.
  24. Pichler, O. and Oliver, C.K., DeLaval International AB, (1998). Herringbone-type rotary milking parlour. U.S. Patent. 5: 718-185.
  25. Pirlo, G., Miglior, F. and Speroni, M. (2000). Effect of age at first calving on production traits and on difference between milk yield returns and rearing costs in Italian Holsteins. Journal of Dairy Science. 83(3): 603-608.
  26. Prescott, N.B., T.T. Mottram and A.J.F. Webster. (1998). Relative motivations of dairy cows to be milked or fed in a Y-maze and an automatic milking system. Applied Animal Behavioural Science. 57: 23-33.
  27. Rodenburg, J. (2011). Designing feeding systems for robotic milking. Proc Tri-state dairy nutrition on conference. pp. 127-136. 
  28. Veysset, P., Wallet, P. and Prugnard, E. (2001). Automatic Milking Systems: Characterizing the Farms Equipped with AMS, Impact and Economic Simulations. ICAR Technical Series. 7: 141-150. 

Editorial Board

View all (0)