Abstract
The objective of this study was to investigate the accuracy of imputation of a non-genotyped parent using genotype information from his/her progenies. 100 sires which were considered as ungenotyped individuals were simulated and randomly mated with females, hence 100 families including one sire with different number of genotyped progenies (2, 3, 4, 5, 6, 10 or 15) were simulated. The considered genome comprised 5 chromosomes of 1 M each. The number of the number of markers was set to 5000 for whole genome. The sires in families. Support Vector Machine (SVM) and Random Forest (RF) Methods were implemented to predict the sire's genotypes using their progeny's genotypes in several different dosage of progenies. The results revealed that for genomic predictions at least, the genotypes of 6 progeny provide sufficiently high accuracy of imputation (allele concordance rate of 0.9963 and 0.9882 for RF and SVM respectively).
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