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

Ricardo Pong-Wong, John Woolliams

Research output: Contribution to conferencePaperpeer-review

Abstract / Description of output

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

Conference

Conference11th World Congress of Genetics Applied to Livestock Production
Period11/02/1816/02/18

Keywords / Materials (for Non-textual outputs)

  • optimum contribution selection,
  • quadratic programming

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