Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-29T18:41:45.605Z Has data issue: false hasContentIssue false
  • English
  • Français

Calculation of multiple-trait sire reliability for traits included in a dairy cattle fertility index

Published online by Cambridge University Press:  18 August 2016

G. Banos ,
S. Brotherstone ,
R. Thompson ,
J. A. Woolliams ,
E. Wall  and
M. P. Coffey
G. Banos*
Affiliation:
Department of Animal Production, School of Veterinary Medicine, Aristotle University of Thessaloniki, Box 393, GR-54124 Thessaloniki, Greece
S. Brotherstone
Affiliation:
Sustainable Livestock Systems, Scottish Agricultural College, Bush Estate, Penicuik, Midlothian EH26 0PH, UK Institute of Cell, Animal and Population Biology, University of Edinburgh, Ashworth Laboratories, King’s Buildings, Edinburgh EH9 3JT, UK
R. Thompson
Affiliation:
Rothamsted Research, Harpenden, Hertfordshire AL5 2JQ, UK Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, UK
J. A. Woolliams
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, UK
E. Wall
Affiliation:
Sustainable Livestock Systems, Scottish Agricultural College, Bush Estate, Penicuik, Midlothian EH26 0PH, UK
M. P. Coffey
Affiliation:
Sustainable Livestock Systems, Scottish Agricultural College, Bush Estate, Penicuik, Midlothian EH26 0PH, UK
*
Corresponding author; e-mail: [email protected]
Get access

Abstract

The advent of genetic evaluations for fertility traits in the UK offers valuable information to farmers that can be used to control fertility problems and safeguard against involuntary culling. In addition to estimated genetic merit, proof reliabilities are required to make correct use of this genetic information. Exact reliabilities, based on the inverse of the coefficient matrix, cannot be estimated for large data sets because of computational restrictions. A method to calculate approximate reliabilities was implemented based on a six-trait sire model. Traits considered were interval between first and second calving, interval between first calving and first service, non-return rate 56 days post first service, number of inseminations per conception, daily milk yield at test nearest day 110 and body condition score. Sire reliabilities were calculated in four steps. Firstly, the number of effective daughters was calculated for each bull, separately for each trait, based on total number of daughters and daughter distribution across herd-year-seasons. Secondly, multiple-trait reliabilities were calculated, based on bull daughter contribution, applying selection index theory on independent daughter groups. Thirdly, (great-) grand-daughter contribution was added to the reliability of each bull, using daughter-based reliability of sons and maternal grandsons. An adjustment was made to account for the probability of bull and son or grandson having daughters in the same herd-year-season. Without the adjustment, reliabilities were inflated by proportionately 0·15 to 0·25. Finally, parent (sire and maternal grandsire) contribution was added to the reliability of each bull. The procedure was first tested on a data subset of 28 061 cow records from 285 bulls. Approximate reliabilities were compared with exact estimates based on the inverse of the coefficient matrix. Mean absolute differences ranged from 0·014 to 0·020 for the six traits and correlation between exact and approximate estimates neared unity. In a full-scale application, sire reliability for the fertility traits increased by proportionately 0·47 to 0·79 over single-trait estimates and the number of bulls with a reliability of 0·60 or more increased by 42 to 115%.

Keywords

dairy cattlefertility indexreliabilitysire evaluation
Type
Breeding genetics
Information
Animal Science , Volume 79 , Issue 1 , August 2004 , pp. 1 - 9
Copyright
Copyright © British Society of Animal Science 2004

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

Bagnato, A. and Oltenacu, P. A. 1993. Genetic study of fertility and production traits in different parities in Italian Friesian cattle. Journal of Animal Breeding and Genetics 110: 126–134.Google Scholar
Boichard, D. and Lee, A. J. 1992. Approximate accuracy of genetic evaluation under single-trait animal model. Journal of Dairy Science 75: 868–877.Google Scholar
Brotherstone, S. 1994. Genetic and phenotypic correlations between linear type traits and production traits in Holstein-Friesian dairy cattle. Animal Production 59: 183–187.Google Scholar
Brotherstone, S., Banos, G. and Coffey, M. P. 2002 Evaluation of yield traits for the development of a UK fertility index for dairy cattle. Proceedings of the seventh world congress on genetics applied to livestock production, Montpellier, France, CD-ROM communication no. 01–28.Google Scholar
Greenhalgh, S. A., Quaas, R. L. and Van Vleck, L. D. 1986. Approximate prediction error variances for multiple trait sire selection. Journal of Dairy Science 69: 2877–2883.CrossRefGoogle Scholar
Groeneveld, E. 1990. PEST user’s manual. Federal Agricultural Research Centre, Germany.Google Scholar
Harris, B. and Johnson, D. 1998a. Approximate reliability of genetic evaluations under an animal model. Journal of Dairy Science 81: 2723–2728.Google Scholar
Harris, B. and Johnson, D. 1998b. Information source reliability method applied to MACE. Proceedings of the 1998 Interbull meeting, Rotorua, New Zealand 17: 31–36.Google Scholar
Jansen, J., Werf, J.van der and Boer, W. de. 1987. Genetic relationships between fertility traits for dairy cows in different parities. Livestock Production Science 17: 337–349.Google Scholar
Meyer, K. 1987. Approximate accuracy of genetic evaluations under an animal model. Livestock Production Science 21: 87–110.Google Scholar
Misztal, I. and Wiggans, G. R. 1988. Approximation of prediction error variance in large-scale animal models. Journal of Dairy Science 71: (suppl. 2) 27–32.Google Scholar
Pryce, J. E., Coffey, M. P. and Brotherstone, S. 2000. The genetic relationship between calving interval, body condition score and linear type and management traits in registered Holsteins Journal of Dairy Science 83: 2664–2671.Google Scholar
Roxström, A., Strandberg, E., Berglund, G., Emanuelson, U. and Philipsson, J. 2001. Genetic and environmental correlations among female fertility traits and milk production in different parities of Swedish Red and White dairy cattle. Acta Agriculturæ Scandinavica, Section A (Animal Science) 51: 7–14.Google Scholar
Royal, M. D., Darwash, A. O., Flint, A. P. F., Webb, R., Woolliams, J. A. and Lamming, G. E. 2000. Declining fertility in dairy cattle: changes in traditional and endocrine parameters of fertility. Animal Science 70: 487–501.CrossRefGoogle Scholar
Wall, E., Brotherstone, S., Woolliams, J. A., Banos, G. and Coffey, M. P. 2003. Genetic evaluation of fertility using direct and correlated traits. Journal of Dairy Science 86: 4093–4102.Google Scholar
Weller, J. I., Norman, H. D. and Wiggans, G. R. 1985. Estimation of variances of prediction error for best linear unbiased prediction models with relationships included. Journal of Dairy Science 68: 930–938.Google Scholar