Imputation of unordered markers and the impact on genomic selection accuracy.

Abstract excerpt

Genomic selection, a breeding method that promises to accelerate rates of genetic gain, requires dense, genome-wide marker data. Genotyping-by-sequencing can generate a large number of de novo markers. However, without a reference genome, these markers are unordered and typically have a large proportion of missing data. Because marker imputation algorithms were developed for species with a reference genome,...

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• Breeding
• Computer Simulation
• Genome, Plant
• Genotyping Techniques
• Regression Analysis