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1 Centre for Reproductive Biology in Uppsala and Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, PO Box 7023, SE-75007 Uppsala, Sweden
2 Station de Génétique Quantitative et Appliquée, Institut National de la Recherche Agronomique, 78352 Jouyen-Josas, France
3 Swedish Dairy Association, Box 1146, SE-63180 Eskilstuna, Sweden
Corresponding author: Erling Strandberg; e-mail: Erling.Strandberg{at}hgen.slu.se.
The objective of this research was to study whether survival analysis results in a more accurate genetic evaluation for female fertility traits compared with the usual methodology based on linear models. The fertility trait studied was interval between calving and last insemination. A stochastic simulation describing the reproductive cycle of first-parity cows was done, in which true breeding values for conception rate were created. A model containing effects of sire and herd was used both with survival analysis and with mixed linear model analysis to predict sire breeding values. Correlations between true breeding values for conception rate and breeding values for calving to last insemination predicted by the best survival analysis model or the best linear model were 0.77 and 0.68, respectively. The results showed that when pregnancy status is known, survival analysis is a better method than linear models for genetic evaluation of conception rate when using observations on the interval between calving and last insemination.
Key Words: female fertility • genetic evaluation • survival analysis
Abbreviation key: CLI = interval between calving and last insemination, CR = conception rate, PBV = predicted breeding value, TBVCR = true breeding value for conception rate, VWP = voluntary waiting period.
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