Abstract
A new method for optimum contribution selection based on quadratic programming was developed. Results from testing the methods using two datasets showed that the proposed method yielded the true optimum solution as observed with the method based on semidefinite programming. The flexibility of the method to allow the inclusion of more than one restriction on coancestry may prove to be a useful tool for a more customised management using dense SNP genotyping to better control the genetic diversity of critical regions of the genome.
| Original language | English |
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| Publication status | Published - 11 Feb 2018 |
| Event | 11th World Congress of Genetics Applied to Livestock Production - Auckland, NZ Duration: 11 Feb 2018 → 16 Feb 2018 |
Conference
| Conference | 11th World Congress of Genetics Applied to Livestock Production |
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| Period | 11/02/18 → 16/02/18 |
Keywords
- optimum contribution selection,
- quadratic programming