Effect of missing sire information on genetic evaluation

Stochastic simulation was used to analyse the effect of missing sire information (MSI) on different parameters of genetic evaluation. Eighty proven bulls producing 100 progeny and 40 test bulls producing 50 progeny were simulated. The proportion of MS I was varied in four steps from 10 to 40%. Analyses were carried out for h(2) = 0.10 and h(2) = 0.25. A sire model was used for simulation and evaluation. The variance of DYD increased with increasing proportion of MSL Variances of sire breeding values as well as rank correlations decreased with increasing proportion of MSL The probability that the simulated Top5 and Top10 bulls were placed under the estimated Top5 and Top10 bulls, respectively, decreased with increasing percentage of MSI. The same holds true for the probability of ranking a bull with 10 to 40% MSI under the 5% best bulls with complete pedigree. The loss of response to selection increased up to 8.6% for proven bulls and Lip to 12.6% for test bulls.