Predictive ability of alternative models for genetic analysis of clinical mastitis

Journal of Animal Breeding and Genetics

Volumn 129, Issue 2, 2012, Pages 120-128

  Vazquez, A I ^a   Perez Cabal, M A ^b   Heringstad, B ^c   Rodrigues Motta, M ^d   Rosa, G J M ^e   Gianola, D ^c,e   Weigel, K A ^e  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^c NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^d UNIVERSITY OF CAMPINAS   (Brazil)

^e UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Cross validation; Linear model; Mastitis; Model comparison; Ordinal threshold model; Threshold model; Zero inflated Poisson model

Indexed keywords

ANIMAL; ARTICLE; BIOLOGICAL MODEL; BOVINE MASTITIS; CATTLE; FEMALE; GENETICS; STATISTICAL MODEL;

ANIMALS; CATTLE; FEMALE; LINEAR MODELS; MASTITIS, BOVINE; MODELS, GENETIC;

ANIMALIA;

EID: 84858078408     PISSN: 09312668     EISSN: 14390388     Source Type: Journal    
DOI: 10.1111/j.1439-0388.2011.00950.x     Document Type: Article

References (23)

1. Carlén E., Schneider M., del P., Strandberg E. (2005) Comparison between linear models and survival analysis for genetic evaluation of clinical mastitis in dairy cattle. J. Dairy Sci., 88, 797-803.
2. Chang Y.M., Gianola D., Heringstad B., Klemetsdal G. (2004) Longitudinal analysis of clinical mastitis at different stages of lactation in Norwegian cattle. Livest. Prod. Sci., 88, 251-261.
3. Chang Y.M., Andersen-Ranberg I.M., Heringstad B., Gianola D., Klemetsdal G. (2006) Bivariate analysis of number of services to conception and days open in Norwegian red using a censored threshold-linear model. J. Dairy Sci., 89, 772-778.
4. Doran H., Bates D.M., Bliese P., Dowling M. (2007) Estimating the multilevel Rasch model with the lme4 package. J Stat Softw, 20, 1-18.
5. Foulley J.L., Gianola D., Im S. (1987) Genetic evaluation for traits distributed as Poisson binomial with reference to reproductive characters. Theor. Appl. Genet., 73, 870-877.
6. Hall D.B. (2000) Zero-inflated Poisson and binomial regression with random effects: a case study. Biometrics, 56, 1030-1039.
7. Heringstad B., Klemetsdal G., Ruane J. (2000) Selection for mastitis resistance in dairy cattle - a review with focus on the situation in the Nordic countries. Livest. Prod. Sci., 64, 95-106.
8. Heringstad B., Rekaya R., Gianola D., Klemetsdal G., Weigel K.A. (2003) Genetic change for clinical mastitis in Norwegian cattle: a threshold model analysis. J. Dairy Sci., 86, 369-375.
9. Heringstad B., Chang Y.M., Gianola D., Klemetsdal G. (2004) Multivariate threshold model analysis of clinical mastitis in multiparous Norwegian dairy cattle. J. Dairy Sci., 87, 3038-3046.
10. Heringstad B., Chang Y.M., Andersen-Ranberg I.M., Gianola D. (2006) Genetic analysis of number of mastitis cases and number of services to conception using a censored threshold model. J. Dairy Sci., 89, 4042-4048.
11. Koeck A., Heringstad B., Egger-Danner C., Fuerst C., Fuerst-Waltl B. (2010) Comparison of different models for genetic analysis of clinical mastitis in Austrian Fleckvieh dual-purpose cows. J. Dairy Sci., 93, 4351-4358.
12. National Mastitis Council (2004). The value and use of DHI somatic cell count (available at: last accessed 12 December 2010).
13. Naya H., Urioste J.I., Chang Y.M., Rodrigues-Motta M., Kremer R., Gianola D. (2008) A comparison between Poisson and zero-inflated Poisson regression models with an application to number of black spots in Corriedale sheep. Genet. Sel. Evol., 40, 379-394.
14. Penagaricano F., Urioste J.I., Naya H., de Los Campos G., Gianola D. (2011) Assessment of Poisson, probit and linear models for genetic analysis of presence and number of black spots in Corriedale sheep. J. Anim. Breeding Genet., 128, 105-113.
15. Pérez-Cabal M.A., de los Campos G., Vazquez A.I., Gianola D., Rosa G.J.M., Weigel K.A., Alenda R. (2009) Genetic evaluation of susceptibility to clinical mastitis in Spanish Holstein cows. J. Dairy Sci., 92, 3472-3480.
16. Raftery A.E., Lewis S.M. (1992) Practical Markov Chain Monte Carlo: comment: one long run with diagnostics: implementation strategies for Markov Chain Monte Carlo. Stat. Sci., 7, 493-497.
17. Rekaya R., Rodriguez-Zas S.L., Gianola D., Shook G.E. (1998). Test-day models for longitudinal binary responses: an application to mastitis in Holsteins. Warsaw, Poland, August 24-27. Paper, 49th Annual Meeting of EAAP.
18. Rodrigues-Motta M., Gianola D., Heringstad B., Rosa G.J.M., Chang Y.M. (2007) A zero-inflated Poisson model for genetic analysis of the number of mastitis cases in Norwegian red cows. J. Dairy Sci., 90, 5306-5315.
19. Rodrigues-Motta M., Gianola D., Heringstad B. (2010) A mixed effects model for overdispersed zero inflated Poisson data with an application in animal breeding. J. Data Sci., 8, 379-396.
20. Sæbø S., Almøy T., Heringstad B., Klemetsdal G., Aastveit A.H. (2005) Genetic evaluation of mastitis resistance using a first passage time model for Wiener processes for analyses of time to first treatment. J. Dairy Sci., 88, 834-841.
21. Vazquez A.I., Gianola D., Bates D.M., Weigel K.A., Heringstad B. (2009a) Assessment of Poisson, logit and linear models for genetic analysis of clinical mastitis in Norwegian red cows. J. Dairy Sci., 92, 739-748.
22. Vazquez A.I., Weigel K.A., Gianola D., Bates D.M., Pérez-Cabal M.A., Rosa G.J.M., Chang Y.M. (2009b) Poisson versus threshold models for genetic analysis of clinical mastitis in US Holsteins. J. Dairy Sci., 92, 5239-5247.
23. Zwald N.R., Weigel K.A., Chang Y.M., Welper R.D., Clay J.S. (2004) Genetic selection for health traits using producer-recorded data. I. Incidence rates, heritability estimates, and sire breeding values. J. Dairy Sci., 87, 4287-4294.