Use of Principal Component and Factor Analysis to reduce the number of independent variables in the prediction of Genomic Breeding Values
On a simulated population of 2,500 individuals, Principal Component Analysis and Factor Analysis were used to reduce the number of independent variables for the prediction of GEBVs. A genome of 100 cM with 300 bialleic SNPs and 20 multiallelic QTLs was considered. Two heritabilities (0.2 and 0.5) we...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2010-01-01
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| Series: | Italian Journal of Animal Science |
| Subjects: | |
| Online Access: | http://www.aspajournal.it/index.php/ijas/article/view/320 |