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A general quadratic programming method for the optimisation of genetic contributions using interior point algorithm

Research output: Contribution to conferencePaperpeer-review

Original languageEnglish
Publication statusPublished - 11 Feb 2018
Event11th World Congress of Genetics Applied to Livestock Production - Auckland, NZ
Duration: 11 Feb 201816 Feb 2018


Conference11th World Congress of Genetics Applied to Livestock Production


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.

    Research areas

  • optimum contribution selection, , quadratic programming


ID: 59255820