Free Access
Issue
Genet. Sel. Evol.
Volume 32, Number 1, January-February 2000
Page(s) 23 - 40
DOI https://doi.org/10.1051/gse:2000104

References

1
Bierdermann G., Petersen A., Lange K., Analysis of the results of random sample tests for laying hens in Hessia during thirty years, Archiv für Geflügelkunde 61 (1997) 97-105.
2
Clayton D.G., Cuzick J., Multivariate generalizations of the proportional hazards model, J. Royal Stat. Soc., Series A 148 (1985) 82-117.
3
 Cox D.R., Regression models and life tables (with discussion), J. Royal Stat. Soc., Series B 34 (1972) 187-220.
4
Cox D.R., Snell E., A general definition of residuals (with discussion), J. Royal Stat. Soc. Ser. B 30 (1968) 248-275.
5
Cox D.R., Oakes D., Analysis of survival data, Chapman and Hall, London, UK, 1984.
6
Ducrocq V., An analysis of length of productive life in dairy cattle, Ph.D. dissertation, Cornell University, Ithaca, NY, USA, 1987.
7
Ducrocq V., Two years of experience with the French genetic evaluation of dairy bulls on production adjusted longevity of their daughters, in: Proceedings of the GIFT (E.U. Concerted Action on Genetic Improvement of Functional Traits) workshop on Longevity, Jouy-en-Josas, France; Interbull Bulletin, Uppsala, Sweden, 21 (1999) 60-67.
8
Ducrocq V., Casella G., A Bayesian analysis of mixed survival models, Genet. Sel. Evol. 28 (1996) 505-529.
9
Ducrocq V., Quaas R.L., Pollak E., Casella G., Length of productive life of dairy cows. I. Justification of a Weibull model, J. Dairy Sci. 71 (1988) 3061-3070.
10
Ducrocq V., Quaas R.L., Pollak E., Casella G., Length of productive life of dairy cows. II. Variance component estimation and sire evaluation, J. Dairy Sci. 71 (1988) 3071-3079.
11
Ducrocq V., Sölkner J., Implementation of a routine breeding value evaluation for longevity of dairy cows using survival analysis techniques, in: 6th World Congress on Genetics Applied to Livestock Production, 23 (1998) 359-362; Anim. Genetics and Breeding Unit, Univ. of New England, Armidale, Australia.
12
Ducrocq V., Sölkner J., ``The Survival Kit - V3.0", a package for large analyses of survival data, in: 6th World Congress on Genetics Applied to Livestock Production, 27 (1998) 447-448; Anim. Genetics and Breeding Unit, Univ. of New England, Armidale, Australia.
13
Flock D.K., Genetic and non-genetic factors determining the success of egg-type breeding programs, in: Proceedings of 20th WPSA Congress, New Delhi, India, 1 (1996) 425-431.
14
Foulley J.L., Prediction of selection response for threshold dichotomous traits, Genetics 132 (1992) 1187-1194.
15
Foulley J.L., Prediction of selection response for Poisson distributed traits, Genet. Sel. Evol. 25 (1993) 297-303.
16
Hunton P., Applied breeding and selection. Industrial breeding and selection, in: Crawford R.D. (Eds.), Poultry Breeding and Genetics, Chap. 40, 1990, 1123 pp.
17
Kalbfleisch J.D., Prentice R.L., The statistical analysis of failure time data, John Wiley and sons, New-York, USA, 1980.
18
Kaplan E.L., Meier P., Nonparametric estimation from incomplete observations, J. Amer. Stat. Ass. 53 (1958) 457-481.
19
Klein J.P., Semiparametric estimation of random effects using the Cox model based on the EM algorithm, Biometrics 48 (1992) 795-806.
20
Klein J., Moeschberger M., Survival analysis, John Willey and sons, New-York, USA, 1997.
21
Preisinger R., Internationalisation of breeding programmes - breeding egg-type chickens for a global market, in: 6th World Congress on Genetics Applied to Livestock Production, 26 (1998) 135-142; Anim. Genetics and Breeding Unit, Univ. of New England, Armidale, Australia.
22
Vaupel J., Manton K.G., Stallard E., The impact of heterogeneity in individual frailty and the dynamics of mortality, Demography 16 (1979) 439-454.
23
Wei M., van der Werf J.H.J., Animal model estimation of additive and dominance variances in egg production traits in Poultry, J. Anim. Sci. 71 (1993) 57-65.


Abstract

Copyright INRA, EDP Sciences

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.