title: A comparison of breeding value predictors for longevity using a linear model and survival analysis.
abstract: A comparison was made among breeding values of sires for longevity that were obtained by different methods: phenotypic averages of daughters using only uncensored records, BLUP using only uncensored records, survival analysis using only uncensored records, and survival analysis using both censored and uncensored records. Two data files were used: one contained data from small herds, and the other contained data from large herds. The results from both data files were similar. Different methods of predicting breeding values resulted in different rankings of sires. The results obtained using phenotypic averages were weakly correlated (< or = 0.46) with those results obtained using the other methods of prediction. The REML BLUP had strong correlations (< or = -0.91) with the survival analysis predictor if the same data were used, and correlations weakened (< or = -0.60) when censored records were included in the survival analysis. The correlations are negative because the linear method analyzed longevity, and survival analysis measured the risk of being culled, which has an antagonistic relationship with longevity. The results from REML BLUP and survival analysis methods differed mainly because of the different data that were used (uncensored only versus both censored and uncensored).
authors.affiliation: Animal Breeding and Genetics Group, Wageningen Institute of Animal Sciences, The Netherlands.
authors.forename: A R
authors.initials: AR
authors.lastname: Vollema
authors.forename: A F
authors.initials: AF
authors.lastname: Groen
mesh_terms: D000375:Aging; D000818:Animals; D001947:Breeding; D002417:Cattle / Q000235:genetics*; D005260:Female; D008136:Longevity / Q000235:genetics*; D008297:Male; D008957:Models, Genetic; D010641:Phenotype; D011247:Pregnancy