Hostname: page-component-5c6d5d7d68-lvtdw Total loading time: 0 Render date: 2024-08-11T12:30:19.433Z Has data issue: false hasContentIssue false

Genetic parameters of functional and fertility determined length of productive life in Swedish dairy cattle

Published online by Cambridge University Press:  18 August 2016

E. Strandberg
Affiliation:
Centre for Reproductive Biology in Uppsala, Department of Animal Breeding and Genetics, Box 7023, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
A. Roxström
Affiliation:
Centre for Reproductive Biology in Uppsala, Department of Animal Breeding and Genetics, Box 7023, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden
Get access

Abstract

The objective of this study was to estimate genetic parameters and breeding values of sires for different definitions of length of productive life in Swedish Red and White dairy cattle. The data consisted of 534 016 daughters with initial calvings between 1988 and 1996. These cows were daughters of 1266 sires (55 of which were considered proven bulls, and treated as fixed effects). The model for the hazard included: a random time-dependent effect of herd-year-season (hys), a fixed time-dependent effect of year-season, a fixed time-dependent effect of parity by stage of lactation, a fixed time-dependent effect of the cow’s peak yield as deviation from her herdmates in that herd-year, a fixed time-independent effect of age at first calving, and random and fixed effects of sire. The hys effect was assumed to follow a gamma distribution and the random sire effect a normal distribution with mean zero and variance Aσ2s, where σ2s is the variance among sires and A the relationship matrix. Length of productive life was defined as the number of days from first calving to culling or end of data. Two types of length of productive life were studied: (1) functional productive life (PL), all cows that were culled before the end of data were considered as uncensored; (2) fertility determined productive life (FPL), only cows that were culled for fertility problems were considered as uncensored. Heritability estimates were 6·9% and 6·1% for PL and FPL, respectively. The approximated genetic correlation estimates between fertility measures in first lactation and FPL was higher than the corresponding estimates with PL. In conclusion, it was feasible to use the trait fertility-determined length of productive life, its heritability was almost as large as for PL, and the genetic correlation with fertility was higher than for PL. However, the expected selection response in fertility from indirect selection on FPL was lower than from direct selection.

Type
Breeding and genetics
Copyright
Copyright © British Society of Animal Science 2000

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Blanchard, P. J., Everett, R. W. and Searle, S. R. 1983. Estimation of genetic trends and correlations for Jersey cattle. Journal of Dairy Science 66: 19471954.Google Scholar
Druet, T., Sölkner, J., Groen, A. F. and Gengier, N. 1999. Improved genetic evaluation of survival using MACE to combine direct and correlated information from yield and functional traits. Proceedings of the international workshop on genetic improvement of functional traits in cattle — longevity, Jouy-en-Josas, France. Interbull bulletin no. 21, pp. 122127.Google Scholar
Ducrocq, V. P. 1994. Statistical analysis of length of productive life for dairy cows of the Normande breed. Journal of Dairy Science 77: 855866.Google Scholar
Ducrocq, V. P. and Sölkner, J. 1998. ‘The Survival Kit V3-0” — a package for large analyses of survival data. Proceedings of the sixth world congress on genetics applied to livestock production, Armidale, vol. 27, pp. 447450.Google Scholar
Durr, J. W. 1997. Genetic and phenotypic studies on culling in Quebec Holstein cows. Ph.D. thesis, McGill University, Canada.Google Scholar
Falconer, D. S. 1989. Introduction to quantitative genetics, third edition. Longman Scientific and Technical.Google Scholar
Larroque, H. and Ducrocq, V. 1999. An indirect approach for the estimation of genetic correlations between longevity and other traits. Proceedings of the international workshop on genetic improvement of functional traits in cattle — longevity, Jouy-en-Josas, France. Interbull bulletin no. 21, pp. 128135.Google Scholar
Lawless, J. 1982. Statistical methods for survival data analysis. John Wiley and Sons, New York.Google Scholar
Roth, A., Strandberg, E., Berglund, B., Emanuelson, U. and Philipsson, J. 1999. Genetic correlations among female fertility traits and milk production in different parities in Swedish dairy cattle. In Metabolic stress in dairy cows (ed. Oldham, J. D., Simm, G., Groen, A. F., Nielsen, B. L., Pryce, J. E. and Lawrence, T. L. J.), British Society of Animal Science occasional publication no. 24, pp. 177181.Google Scholar
Roxström, A., Strandberg, E., Berglund, B., Emanuelson, U. and Philipsson, J. 2000. Genetic and environmental correlations among female fertility traits and milk production in different parities in Swedish Red and White dairy cattle. Acta Agriculturae Scandinavica, section A In press.Google Scholar
Strandberg, E. 1997. Breeding strategies to improve longevity. Proceedings of the 48th annual meeting of the European Association for Animal Production, p. 28.Google Scholar
Swedish Dairy Association. 1999. [Cattle statistics 1997/98.] Svensk Mjölk , SE-631 84 Eskilstuna, Sweden.Google Scholar
Vollema, A. R. and Groen, A. F. 1998. A comparison of breeding value predictors for longevity using a linear model and survival analysis. Journal of Dairy Science 81: 33153320.Google Scholar
Yazdi, M. H., Rydhmer, L., Ringmar-Cederberg, E., Lundeheim, N. and Johansson, K. 2000. Genetic study longevity in Swedish Landrace sows. Livestock Production Science In press.Google Scholar