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Based on a real dairy cattle dataset, breeding values were generated in the last generation of sires to mimic genomic pre-selection.
Breeding values were generated by designating 200 random segregating (minor allele frequency ≥ 0.1) SNPs as quantitative trait loci (QTL).
The remaining generations, serving as the test data, were only genotyped but not phenotyped, although the true breeding values were generated for testing the accuracy of models.
Similar(57)
In the simulation, breeding values are generated for three types of individuals, queens, sires and worker groups, and subsequently the phenotypes for colonies are generated.
An animal's breeding value was generated as the sum of the parent average and a Mendelian sampling deviation that considered inbreeding of the sire and dam.
Deregressed estimated breeding values were available for 328 genotyped boars.
p values were generated by Student t-test.
Simulation shows that the resulting estimated breeding values are unbiased predictors of true breeding values.
Consider how breeding values are calculated for the different approaches.
Estimated breeding values were calculated by doubling estimated sire effects.
Breeding values were estimated for individual trees and their parents.
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