Comparison between bivariate models for 56-day nonreturn and interval from calving to first insemination in Norwegian Red

Journal of Dairy Science

Volumn 88, Issue 6, 2005, Pages 2190-2198

  Andersen Ranberg, I M ^a,b   Heringstad, B ^a,b   Gianola, D ^a,c   Chang, Y M ^c   Klemetsdal, G ^a  

^a NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^b GENO Breeding and AI Association   (Norway)

^c UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Bivariate threshold model; Female fertility; Genetic parameter; Model comparison

Indexed keywords

BOS TAURUS;

EID: 26444435726     PISSN: 00220302     EISSN: None     Source Type: Journal    
DOI: 10.3168/jds.S0022-0302(05)72894-0     Document Type: Article

References (42)

1. Agresti, A. 1996. An Introduction to Categorical Data Analysis. John Wiley & Sons, Inc., New York, NY.
2. Andersen-Ranberg, I. M., G. Klemetsdal, B. Heringstad, and T. Steine. 2005. Heritabilities, genetic correlations, and genetic change for female fertility and protein yield in Norwegian dairy cattle. J. Dairy Sci. 88:348-355.
3. Averill, T. A., R. Rekaya, and K. Weigel. 2004. Genetic analysis of male and female fertility using longitudinal binary data. J. Dairy Sci. 87:3947-3952.
4. Boichard, D., and E. Manfredi. 1994. Genetic analysis of conception rate in French Holstein cattle. Acta Agric. Scand. 44:138-145.
5. Caraviello, D. Z., K. A. Weigel, and D. Gianola. 2004. Prediction of longevity breeding values for US Holstein sires using survival analysis methodology. J. Dairy Sci. 87:3518-3525.
6. Chang, Y. M. 2002. Multivariate and longitudinal models for binary data with applications to clinical mastitis in Norwegian cattle. Ph.D. Diss., Univ. Wisconsin, Madison.
7. Dechow, C. D., G. W. Rogers, and J. S. Clay. 2001. Heritabilities and correlations among body condition scores, production traits, and reproductive performance. J. Dairy Sci. 84:266-275.
8. Dempster, E. R., and M. Lerner. 1950. Heritability of threshold characters. Genetics 35:212-236.
9. Distl, O. 1982. Selection for fertility traits. Proc. 2nd World Congr. Genet. Appl. Livest. Prod., Madrid, Spain 7:580-585.
10. Falconer, D. S., and T. F. C. Mackay. 1996. Introduction to Quantitative Genetics, 4th ed. Longman, Malaysia.
11. Foulley, J. L., D. Gianola, and R. Thompson. 1983. Prediction of genetic merit from data on binary and quantitative variates with an application to calving difficulty, birth weight and pelvic opening. Genet. Sel. Evol. 15:407-424.
12. Gates, P., K. Johansson, and B. Danell. 1999. "Quasi-REML" correlation estimates between production and health traits in the presence of selection and confounding: A simulation study. J. Anim Sci. 77:558-568.
13. Gianola, D. 1982. Theory and analysis of threshold characters. J. Anim. Sci. 54:1079-1096.
14. Gianola, D., and J. L. Foulley. 1983. Sire evaluation for ordered categorical data with a threshold model. Genet. Sel. Evol. 15:201-223.
15. Gilks, W. R., S. Richardson, and D. J. Spiegelhalter. 1996. Markov Chain Monte Carlo in Practice. Chapman and Hall, London, UK.
16. Gilmour, A. R., R. D. Anderson, and A. L. Rae. 1985. The analysis of binomial data by a generalized linear mixed model. Biometrika 72:593-599.
17. Harville, D. A., and R. W. Mee. 1984. A mixed-model procedure for analyzing ordered categorical data. Biometrics 40:393-408.
18. Heringstad, B., R. Rekaya, D. Gianola, G. Klemetsdal, and K. A. Weigel. 2003. Genetic change for clinical mastitis in Norwegian cattle: A threshold model analysis. J. Dairy Sci. 86:369-375.
19. Hoekstra, J., A. W. van der Lugt, J. H. J. van der Werf, and W. Ouweltjes. 1994. Genetic and phenotypic parameters for milk production and fertility traits in upgraded dairy cattle. Livest. Prod. Sci. 40:225-232.
20. Hoeschele, I. 1988. Comparison of "Maximum A-Posteriori Estimation" and "Quasi Best Linear Unbiased Prediction" with threshold characters. J. Anim. Breed. Genet. 105:337-361.
21. Hoeschele, I., D. Gianola, and J. L. Foulley. 1987. Estimation of variance components with quasi-continuous data using Bayesian methods. J. Anim. Breed. Genet. 104:334-349.
22. Jensen, J., and P. Madsen. 1994. DMU: A package for the analysis of multivariate mixed models. Proc. 5th World Congr. Genet. Appl. Livest. Prod., Guelph, Canada. Comput. Stat. Software 22:45-46.
23. Luo, M. F., P. J. Boettcher, L. R. Schaeffer, and J. C. M. Dekkers. 2001. Bayesian inference for categorical traits with an application to variance component estimation. J. Dairy Sci. 84:694-704.
24. Matos, C. A. P., D. L. Thomas, D. Gianola, M. Perez-Enciso, and L. D. Young. 1997. Genetic analysis of discrete reproductive traits in sheep using linear and nonlinear models: II. Goodness of fit and predictive ability. J. Anim. Sci. 75:88-94.
25. Meijering, A., and D. Gianola. 1985. Linear versus nonlinear methods of sire evaluation for categorical traits: A simulation study. Genet. Sel. Evol. 17:115-131.
26. Pryce, J. C., M. P. Coffey, and S. Brotherstone. 2000. The genetic relationship between calving interval, body condition score and linear type and management traits in registered Holsteins. J. Dairy Sci. 83:2664-2671.
27. Pryce, J. E., R. F. Veerkamp, R. Thompson, W. G. Hill, and G. Simm. 1997. Genetic aspects of common health disorders and measures of fertility in Holstein Friesian dairy cattle. Anim. Sci. 65:353-360.
28. Raftery, A. E., and S. Lewis. 1992. How many iterasjons in the Gibbs sampler? Pages 763-774 in Bayesian Statistic 4. J. M. Bernando, J. O. Berger, A. P. Dawid, and A. F. M. Smith, ed. Oxford University Press, Oxford, UK.
29. Roxström, A., E. Strandberg, B. Berglund, and U. Emanuelson. 2001. Genetic and environmental correlations among female fertility traits and milk production in different parities of Swedish Red and White Dairy Cattle. Acta Agric. Scand. 51:7-14.
30. SAS Institute Inc. 1999. SAS OnlineDoc. Version 8. SAS Institute Inc., Cary, NC.
31. Sorensen, D., S. Andersen, D. Gianola, and I. Korsegaard. 1995. Bayesian inference in threshold models using Gibb sampling. Genet. Sel. Evol. 27:229-249.
32. Sorensen, D., and D. Gianola. 2002. Likelihood, Bayesian and MCMC Methods in Quantitative Genetics. Springer-Verlag, New York, NY.
33. Strandberg, E., and A. Roxström. 2000. Genetic parameters of functional and fertility determined length of productive life in Swedish dairy cattle. Anim. Sci. 70:383-389.
34. Thaller, G. 1997. Genetics and breeding for fertility. Proc. Int. Workshop on Genetic Improvement of Functional Traits in Cattle; Fertility and Reproduction, Grub, Germany. Interbull Bull. 18:55-61.
35. Thompson, R. 1979. Sire evaluation. Biometrics 35:339-353.
36. Varona, L., I. Misztal, and J. K. Bertrand. 1999. Threshold-linear versus linear-linear analysis of birth weight and calving ease using an animal model: II. Comparison of models. J. Anim. Sci. 77:2003-2007.
37. Wall, E., S. Brotherstone, J. A. Woolliams, G. Banos, and M. P. Coffey. 2003. Genetic evaluation of fertility using direct and correlated traits. J. Dairy Sci. 86:4093-4102.
38. Wang, C. S. 1998. Implementation issues in Bayesian analysis in animal breeding. Proc 6th World Congr. Genet. Appl. Livest. Prod. 25:481-489.
39. Weigel, K. A., and R. Rekaya. 2000. Genetic parameters for reproductive traits of Holstein cattle in California and Minnesota. J. Dairy Sci. 83:1072-1080.
40. Weller, J. I., I. Misztal, and D. Gianola. 1988. Genetic analysis of dystocia and calf mortality in Israeli-Holsteins by threshold and linear models. J. Dairy Sci. 71:2491-2501.
41. Weller, J. I., and M. Ron. 1992. Genetic analysis of fertility traits in Israeli Holsteins by linear and threshold models. J. Dairy Sci. 75:2541-2548.
42. Wright, S. 1934. An analysis of variability in number of digits in an inbred of Guinea pigs. Genetics 19:506-536.