Genetic parameters for clinical mastitis in Holstein-Friesians in the United Kingdom: A Bayesian analysis

Animal Science

Volumn 73, Issue 2, 2001, Pages 229-240

  Kadarmideen, H N ^a   Rekaya, R ^b   Gianola, D ^b  

^a SCOTTISH AGRICULTURAL COLLEGE   (United Kingdom)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Dairy cattle; Genetic parameters; Mastitis; Threshold models

Indexed keywords

EID: 0035627975     PISSN: 13577298     EISSN: None     Source Type: Journal    
DOI: 10.1017/S1357729800058203     Document Type: Article

References (32)

1. Albert, J. H. and Chib, C. 1993. Bayesian analysis of binary and polychotomous response data. Journal of the American Statistical Association 88: 669-679.
2. Boettcher, P. J., Jairath, L. K. and Dekkers, J. C. M. 1999. Comparison of methods for genetic evaluation of sires for survival of their daughters in the first three lactations. Journal of Dairy Science 82: 1034-1044.
3. Foulley, J. L. 1992. Prediction of selection response for threshold dichotomous traits. Genetics 132: 1187-1194.
4. Foulley, J. L. and Gianola, D. 1996. Statistical analysis of ordered categorical data via a structural heteroskedastic threshold model. Genetics, Selection, Evolution 28: 249-273.
5. Gianola, D. 1980. Genetic evaluation of animals for traits with categorical responses. Journal of Animal Science 51: 1272-1276.
6. Gianola, D. 1982. Theory and analysis of threshold characters. Journal of Animal Science 56: 1079-1096.
7. Gianola, D. and Foulley, J. L. 1983. Sire evaluation for ordered categorical data with a threshold model. Genetics, Selection, Evolution 15: 201-224.
8. Gilmour, A. R., Anderson, R. D. and Rae, A. C. 1985. The analysis of binomial data by a generalized linear mixed model. Biometrika 72: 593-599.
9. Harville, D. A. and Mee, R. W. 1984. A mixed model procedure for analyzing ordered categorical data. Biometrics 40: 393-408.
10. Heringstad, B., Klemetsdal, G. and Ruane, J. 1999a. Clinical mastitis in Norwegian cattle: frequency, variance components, and genetic correlation with protein yield. Journal of Dairy Science 82: 1325-1330.
11. Heringstad, B., Rekaya, R., Gianola, D., Klemetsdal, G. and Weigel, K. A. 1999b. Bayesian analysis of heritability of liability to clinical mastitis in Norwegian cattle with a threshold model. Proceedings of the 50th annual meeting of the European Association for Animal Production, Zurich, Switzerland, August 22-26.
12. Heuer, C., Schukken, Y. H. and Dobbelaar, P. 1999. Postpartum body condition score and results from the first test day milk as predictors of disease, fertility, yield and culling in commercial dairy herds. Journal of Dairy Science 82: 295-304.
13. Janss, L L. G. and Foulley, J. L. 1993. Bivariate analysis for one continuous and one threshold dichotomous trait with unequal design matrices and an application to birth weight and calving difficulty. Livestock Production Science 33: 183-198.
14. Kadarmideen, H. N., Janss, L. L. G. and Dekkers, J. C. M. 2000a. Power of QTL mapping for polygenic binary traits using generalised and regression interval mapping in multi-family half-sib designs. Genetical Research 76: 305-317.
15. Kadarmideen, H. N. and Pryce, J. E. 2001. Genetic and economic relationships between somatic cell count and clinical mastitis and their use in selection for mastitis resistance in dairy cattle. Animal Science 73: 19-28.
16. Kadarmideen, H. N., Rekaya, R. and Gianola, D. 2000b. Genetic analysis of repeated mastitis episodes with Bayesian longitudinal threshold models. Proceedings of the 51st annual meeting of the European Association for Animal Production, August 21-24, 2000, The Hague, The Netherlands.
17. Kadarmideen, H. N., Thompson, R. and Simm, G. 2000c. Linear and threshold model genetic parameters for disease, fertility and milk production in dairy cattle. Animal Science 71: 411-419.
18. Lund, M. S., Jensen, J. and Petersen, P. H. 1999. Estimation of genetic and phenotypic parameters for clinical mastitis, somatic cell production deviance, and protein yield in dairy cattle using Gibbs sampling. Journal of Dairy Science 82: 1045-1051.
19. Pryce, J. E., Veerkamp, R. F., Thompson, R., Hill, W. G. and Simm, G. 1997. Genetic aspects of common health disorders and measures of fertility in Holstein Friesian dairy cattle. Animal Science 65: 353-360.
20. Quaas, R. L., Zhao, Y. and Pollak, E. J. 1988. Describing interactions in dystocia scores with a threshold model. Journal of Animal Science 66: 396-399.
21. Raftery, A. L. and Lewis, S. 1992. How many iterations in the Gibbs sampler? In Bayesian statistics 4 (ed. J. M. Bernando, J. O. Berger, A. P. David and A. F. M. Smith), pp. 763-774. Oxford University Press.
22. Robertson, A. and Lerner, I. M. 1949. The heritability of all-or-none traits: liability of poultry. Genetics 34: 395-411.
23. Rodriguez-Zas, S. L., Gianola, D. and Shook, G. E. 1997. Factors affecting susceptibility to intramammary infection and mastitis: an approximate Bayesian analysis. Journal of Dairy Science 80: 75-85.
24. Rodriguez-Zas, S. L., Gianola, D. and Shook, G. E. 1998. Bayesian analysis via Gibbs sampling of susceptibility to intramammary infection in Holstein cattle. Journal of Dairy Science 81: 2710-2722.
25. Rupp, R. and Boichard, D. 1999. Genetic parameters for CM, somatic cell score, production, udder type traits, and milking ease in first lactation Holsteins. Journal of Dairy Science 82: 2198-2204.
26. Simianer, H., Solbu, H. and Schaeffer, L. R. 1991. Estimated genetic correlations between disease and yield traits in dairy cattle. Journal of Dairy Science 74: 4359-4365.
27. Sorensen, D. A., Andersen, S., Gianola, D. and Korsgaard, I. 1995. Bayesian inference in threshold models using Gibbs sampling. Genetics, Selection, Evolution 27: 229-249.
28. Thompson, R. 1979. Sire evaluation. Biometrics 35: 339-353.
29. Uribe, H. A., Kennedy, B. W., Martin, S. W. and Kelton, D. F. 1995. Genetic parameters of common health disorders of Holsteins. Journal of Dairy Science 78: 421-430.
30. Varona, L., Misztal, I. and Bertrand, J. K. 1999. Threshold-linear versus linear-linear analysis of birth weight and calving ease using an animal model. I. Variance component estimation. Journal of Animal Science 77: 1994-2002.
31. Wang, C. S., Quaas, R. L. and Pollak, E. J. 1997. Bayesian analysis of calving ease scores and birth weights. Genetics, Selection, Evolution 29: 117-143.
32. Wright, S. 1934. An analysis of variability in number of digits in an inbred strain of guinea pigs. Genetics 19: 506-536.