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- 3Genomic prediction
- 1Bayesian model
- 1Dairy cattle
- 1Genome-wide association study
- 1Genotype imputation
- 1Longevity in dairy cattle
Improving Accuracy of Genomic Prediction for Economically Important Traits in Canadian Holstein Dairy CattleDownload
Milk is a valuable source of energy, high quality protein, and several key minerals and vitamins for humans. Selection for milk production in dairy cattle was first based on phenotype and pedigree information and the knowledge of genetic parameters for the trait of interest. However, substantial...
Background Genomic prediction in multiple populations can be viewed as a multi-task learning problem where tasks are to derive prediction equations for each population and multi-task learning property can be improved by sharing information across populations. The goal of this study was to...
In this dissertation, I focus on the study of genotype imputation in population data. Genotype imputation is a process of inferring missing values for genotype data and has been extended to predicting “untyped” genotypes for samples in low-density chips with a reference population assayed using...