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Comparison of methods for partitioning training and validation populations to optimize prediction accuracy and enable across-breed genomic selection in beef cattle
Author(s) -
Megan M Rolf
Publication year - 2012
Publication title -
mospace institutional repository (university of missouri)
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.32469/10355/36691
Subject(s) - breed , selection (genetic algorithm) , genomic selection , beef cattle , predictive modelling , biology , population , predictive power , microbiology and biotechnology , statistics , machine learning , genetics , computer science , mathematics , genotype , medicine , single nucleotide polymorphism , gene , philosophy , environmental health , epistemology

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