Replication data for «Genomic relationship-based selection of unrelated individuals»

This is the Norway spruce dataset used in our study to demonstrate a novel formulation to select an optimal subset of individuals under a strict maximum tolerable pairwise genomic relationship threshold. We construct a binary matrix of ’related’ and ’unrelated’ pairs based on this threshold. This reformulation transforms the problem from a complex non-linear program into a binary integer linear program. While this formulation remains NP-hard, the linearity allows modern solvers to efficiently navigate the solution space and provide a guaranteed global optimum, a key advantage over heuristic approaches. We demonstrate the method using two distinct datasets: a large Norway spruce breeding population and a conservation population of German Black Pied cattle. We explore the trade-offs between the selection response, the relationship threshold, and the maximum number of unrelated individuals.