Unknown

Dataset Information

Multi-objective optimized genomic breeding strategies for sustainable food improvement.


ABSTRACT: The purpose of breeding programs is to obtain sustainable gains in multiple traits while controlling the loss of genetic variation. The decisions at each breeding cycle involve multiple, usually competing, objectives; these complex decisions can be supported by the insights that are gained by applying multi-objective optimization principles to breeding. The discussion in this manuscript includes the definition of several multi-objective optimized breeding approaches within the phenotypic or genomic breeding frameworks and the comparison of these approaches with the standard multi-trait breeding schemes such as tandem selection, independent culling and index selection. Proposed methods are demonstrated with two empirical data sets and simulations. In addition, we have described several grap

SUBMITTER: Akdemir D 

PROVIDER: S-EPMC6461918 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature