Monitoring daily milk yields with a recursive test day repeatability model (Kalman filter)

Journal of Dairy Science

Volumn 82, Issue 11, 1999, Pages 2421-2429

  Van Bebber, J ^a   Reinsch, N ^a   Junge, W ^a   Kalm, E ^a  

^a Institut für Tierzucht   (Germany)

Author keywords

Daily milk yields; Kalman filter; Monitoring; Rolling average

Indexed keywords

ANIMAL; ARTICLE; CATTLE; DAIRYING; FEMALE; INFORMATION PROCESSING; LACTATION; METHODOLOGY; PHYSIOLOGY; STATISTICAL MODEL;

ANIMALS; CATTLE; DAIRYING; FEMALE; LACTATION; LINEAR MODELS; MODELS, STATISTICAL; RECORDS;

EID: 0033228072     PISSN: 00220302     EISSN: None     Source Type: Journal    
DOI: 10.3168/jds.S0022-0302(99)75493-7     Document Type: Article

References (29)

1. Ali, T. E., and L. R. Schaeffer. 1987. Accounting for covariances among test day milk yields in dairy cows. Can. J. Anim. Sci. 67:637-644.
2. Bartlett, P. C., J. van Wijk, D. J. Wilson, C. D. Green, G. Y. Miller, G. A. Majewski, and L. E. Heider. 1991. Temporal patterns of lost milk production following clinical mastitis in a large Michigan Holstein herd. J. Dairy Sci. 74:1561-1572.
3. Deluyker, H. A., J. M. Gay, L. D. Weaver, and A. S. Azari. 1991. Change of milk yield with clinical diseases for a high producing dairy herd. J. Dairy Sci. 74:436-445.
4. Deluyker, H. A., R. H. Shumway, W. E. Wecker, A. S. Azari, and L. D. Weaver. 1990. Modeling daily milk yield in Holstein cows using time series analysis. J. Dairy Sci. 73:539-548.
5. De Mol, R. M., G. H. Kroeze, J.M.F.H. Achten, K. Maatje, and W. Rossing. 1997. Results of a multivariate approach to automated oestrus and mastitis detection. Livest. Prod. Sci. 48:219-227.
6. Dijkhuizen, A. A., R.B.M. Huirne, and J. B. Hardaker. 1992. Scope of management and management decision. A. H. Ipema, A. C. Lippus, J.H.M. Metz, and W. Rossing, ed. Pages 299-308 in Proc. Int. Symp. Prospects for Automated Milking. EAAP Pub. 65. Pudoc Sci. Publ., Wageningen, The Netherlands.
7. Distel, O., A. Wurm, G. Glibotic, G. Brem, and H. Kräußlich. 1989. Analysis of relationships between veterinary recorded production diseases and milk production in dairy cows. Livest. Prod. Sci. 23:67-78.
8. Goodall, E. A., and D. Sprevak. 1984. A note on a stochastic model to describe the milk yield of a dairy cow. Anim. Prod. 38:133-136.
9. Guo, Z., and H. H. Swalve. 1997. Comparison of different lactation curve sub-models in test day models. Interbull Open Mtg., Vienna, Austria, August 28-29. Int. Bull. Eval. Serv., Uppsala, Sweden.
10. Harrison, P. J., and C. F. Stevens. 1976. Bayesian forecasting. J. R. Stat. Soc., Ser. B 38:205-247.
11. Harvey, A. C. 1981. Time Series Models. Phillip Allan Publ. Ltd., Oxford, Great Britain.
12. Hogewerf, P. H., K. Maatje, and W. Rossing. 1992. Computer aided system for health and reproduction control in dairy cows. Pages 483-490 in Proc. Int. Symp. Prospects for Automated Milking. EAAP Pub. 65. A. H. Ipema, A. C. Lippus, J.H.M. Metz, and W. Rossing, ed. Pudoc Sci. Publ., Wageningen, The Netherlands.
13. Jamrozik, J., and L. R. Schaeffer. 1997. Estimation of genetic parameters for a test day model with random regressions for yield traits of first lactation Holsteins. J. Dairy Sci. 80:762-770.
14. Kalman, R. 1960. A new approach to linear filtering and prediction problems. J. Basic Eng. (now Trans. ASME, Ser. D) 82:35-45.
15. Lucey, S., and G. J. Rowlands. 1984. The association between clinical mastitis and milk yield in dairy cows. Anim. Prod. 39:165-175.
16. Maatje, K., P. H. Hogewerf, W. Rossing, and R. T. van Zonneveld. 1992. Measuring quarter milk electrical conductivity, milk yield and milk temperature for detection of mastitis. Pages 119-125 in Proc. Int. Symp. Prospects for Automated Milking. EAAP Pub. 65. A. H. Ipema, A. C. Lippus, J.H.M. Metz, and W. Rossing, ed. Pudoc Sci. Publ., Wageningen, The Netherlands.
17. Maltz, E., S. Devir, J.H.M. Metz, and H. Hogeveen. 1997. The body weight of the dairy cow. I. Introductory study into body weight changes in dairy cows as a management aid. Livest. Prod. Sci. 48:175-186.
18. Meyer, K., H. U. Graser, and K. Hammond. 1989. Estimation of genetic parameters for first lactation day production of Australian Black and White cows. Livest. Prod. Sci. 21:177-199.
19. Mottram, T. 1997. Automatic monitoring of the health and metabolic status of dairy cows. Livest. Prod. Sci. 48:209-217.
20. Nielen, M., Y. H. Schukken, A. Brand, S. Haring, and R. T. Ferweda-van Zonneveld. 1995. Comparison of analysis techniques for on-line detection of clinical mastitis. J. Dairy Sci. 78:1050-1061.
21. Ptak, E., and L. R. Schaeffer. 1993. Use of test day yields for genetic evaluation of dairy sires and cows. Livest. Prod. Sci. 34:23-34.
22. Reinsch, N., J. Jaitner, and L. Dempfle. 1997. Investigations on functional traits in Simmental 2. Incidence of diseases in German Simmental cows. Livest. Prod. Sci. 52:87-96.
23. Sallas, W. M., and D. A. Harville. 1981. Best linear recursive estimation for mixed linear models. J. Am. Stat. Assoc. Theory Methods Sec. 76:860-869.
24. SAS Technical Report P-299, SAS/STAT® Software: Changes and Enhancements, Release 6.07. SAS Inst., Cary, NC.
25. Schlünsen, D., H. Schön, and H. Roth. 1988. Possibilities of a computer aided health and reproduction control in dairy husbandry. Pages 46-56 in Proc. EAAP-Symp. of the Commission on Anim. Management and Health and Cattle Prod. EAAP Publ. 40. J. Unshelm, and G. Schönmuth, ed. Pudoc Sci. Publ., Wageningen, The Netherlands.
26. Spahr, S. L. 1993. New technologies and decision making in high producing herds. J. Dairy Sci. 76:3269-3277.
27. Svennersten-Sjaunja, K., L.-O. Sjaunja, J. Bertilson, and H. Wiktorsson. 1997. Use of regular milking records versus daily records for nutrition and other kinds of management. Livest. Prod. Sci. 48:167-174.
28. Van Bebber, J. 1998. Kalman filter analysis of test day milk records for genetic evaluation and management purposes. Ph.D. Diss., Univ. Kiel, Germany.
29. Walton, J. S., and G. J. King. 1986. Indicators of estrus in Holstein cows housed in tie stalls. J. Dairy Sci. 69:2966-2973.