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Abstract
Increasing the accuracy of estimated breeding values (EBV) improves the rate of genetic gain, resulting in superior animals and greater profitability. Accuracies of genomic EBV can be maximized if enough information is available in the reference population, and more importantly, the effects of the independent chromosome segments (Me) are explained. Commercial farm populations are typically highly related; hence, inheritance includes large chromosome segments. If the effects of the independent chromosome segments are well estimated, genetic predictions will have high accuracy. The persistence of accuracy for commercial populations will remain more stable over time as the available data increases. Censoring can be included when various traits are recorded, such as livability and retained ear tag; however, genetic evaluations for growth are just as accurate without censoring. The objective of this thesis was to analyze genetic parameters and accuracies of (G)EBV using varying traits, quantities of data, and censoring effects on growth traits.