Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-23T01:53:43.705Z Has data issue: false hasContentIssue false
  • English
  • Français

Genetic evaluation of ovulatory disorders in Austrian Fleckvieh cows: a comparison between linear models and survival analysis

Published online by Cambridge University Press:  22 July 2011

A. Koeck ,
B. Fuerst-Waltl ,
J. Sölkner ,
C. Egger-Danner  and
G. Mészáros
A. Koeck*
Affiliation:
Division of Livestock Sciences, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences, Gregor-Mendel-Street 33, 1180 Vienna, Austria
B. Fuerst-Waltl
Affiliation:
Division of Livestock Sciences, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences, Gregor-Mendel-Street 33, 1180 Vienna, Austria
J. Sölkner
Affiliation:
Division of Livestock Sciences, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences, Gregor-Mendel-Street 33, 1180 Vienna, Austria
C. Egger-Danner
Affiliation:
ZuchtData EDV-Dienstleistungen GmbH, Dresdner Street 89/19, 1200 Vienna, Austria
G. Mészáros
Affiliation:
Division of Livestock Sciences, Department of Sustainable Agricultural Systems, University of Natural Resources and Life Sciences, Gregor-Mendel-Street 33, 1180 Vienna, Austria
*
†E-mail: [email protected]
Get access

Abstract

The objective of this study was to compare linear models and survival analysis for genetic evaluation of ovulatory disorders, which included veterinary treatments of silent heat/anestrus and cystic ovaries. Data of 23 450 daughters of 274 Austrian Fleckvieh sires were analyzed. For linear model analyses, ovulatory disorders were defined as a binary response (presence or absence) in the time periods from calving to 150 days after calving and from calving to 300 days after calving. For survival analysis, ovulatory disorders were defined either as the number of days from calving to the day of the first treatment for an ovulatory disorder (uncensored record) or from calving to the day of culling, or the last day of the period under investigation (until 150 or 300 days after calving; censored record). Estimates of heritability were very similar (0.016 to 0.020) across methods and periods. Correlations between sire estimated breeding value from linear model and survival analysis were 0.98, whereas correlations between different time periods were somewhat lower (0.95 and 0.96). The results showed that the length of time period had a larger effect on genetic evaluation than methodology.

Keywords

ovulatory disorderlinear modelsurvival analysisdairy cattle
Type
Full Paper
Information
animal , Volume 5 , Issue 12 , 10 November 2011 , pp. 1898 - 1902
Copyright
Copyright © The Animal Consortium 2011

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

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. Journal of Dairy Science 88, 797–803.CrossRefGoogle ScholarPubMed
Carlén, E, Emanuelson, U, Strandberg, E 2006. Genetic evaluation of mastitis in dairy cattle using linear models, threshold models, and survival analysis: a simulation study. Journal of Dairy Science 89, 4049–4057.CrossRefGoogle ScholarPubMed
Ducrocq, V, Sölkner, J, Mészáros, G 2010. Survival Kit v6—A software package for survival analysis. Proceedings 9th World Congress on Genetics Applied to Livestock Production, Leipzig, Germany, communication no. 232.Google Scholar
Egger-Danner, C, Fuerst-Waltl, B, Holzhacker, W, Janacek, R, Lederer, J, Litzllachner, C, Mader, C, Mayerhofer, M, Miesenberger, J, Obritzhauser, W, Schoder, G, Wagner, A 2007. Establishing a health monitoring system for cattle in Austria: first experiences. Conference at the 58th Annual Meeting of the European Association for Animal Production, Dublin, Ireland, 363 pp.CrossRefGoogle Scholar
Egger-Danner, C, Fuerst-Waltl, B, Obritzhauser, W, Koeck, A, Grassauer, B, Janacek, R, Litzllachner, C, Mayerhofer, M, Miesenberger, J, Schallerl, F, Schoder, G, Wagner, A 2010. Availability of health data for breeding purposes—challenges and key factors of success. Proceedings 9th World Congress on Genetics Applied to Livestock Production, Leipzig, Germany, communication no. 821.Google Scholar
Heringstad, B 2010. Genetic analysis of fertility-related diseases and disorders in norwegian red cows. Journal of Dairy Science 93, 2751–2756.CrossRefGoogle ScholarPubMed
Hirst, WM, Murray, RD, Ward, WR, French, NP 2002. A mixed-effects time-to-event analysis of the relationship between first-lactation lameness and subsequent lameness in dairy cows in the UK. Preventive Veterinary Medicine 54, 191–201.CrossRefGoogle ScholarPubMed
Interbull 2010. Description of national genetic evaluation systems for dairy cattle traits as practiced in different Interbull member countries. Retrieved 21 December, 2010 from http://www-interbull.slu.se/national_ges_info2/framesida-ges.htmGoogle Scholar
Koeck, A, Egger-Danner, C, Fuerst, C, Obritzhauser, W, Fuerst-Waltl, B 2010. Genetic analysis of reproductive disorders and their relationship to fertility and milk yield in Austrian fleckvieh dual-purpose cows. Journal of Dairy Science 93, 2185–2194.CrossRefGoogle ScholarPubMed
Madsen, P, Jensen, J 2008. A user's guide to DMU. A package for analysing multivariate mixed models. Version 6, release 4.7. Danish Institute of Agricultural Sciences, Tjele, Denmark.Google Scholar
Pösö, J, Mäntysaari, EA 1996. Genetic relationships between reproductive disorders, operational days open and milk yield. Livestock Production Science 46, 41–48.CrossRefGoogle Scholar
Rajala-Schultz, PJ, Gröhn, YT 1999. Culling of dairy cows. Part I. Effects of disease on culling in Finnish Ayrshire cows. Preventive Veterinary Medicine 41, 195–208.CrossRefGoogle ScholarPubMed
Sæbø, S, Almøy, T, Heringstad, B, Klemetsdal, G, Aastveit, AH 2005. Genetic evaluation of mastitis resistance using a first-passage time model for Wiener processes for analysis of time to first treatment. Journal of Dairy Science 88, 834–841.CrossRefGoogle ScholarPubMed
Yazdi, MH, Visscher, PM, Ducrocq, V, Thompson, R 2002. Heritability, reliability of genetic evaluations and response to selection in proportional hazard models. Journal of Dairy Science 85, 1563–1577.CrossRefGoogle ScholarPubMed