Simulation‐based decision‐making and implementation of tools in hybrid crop breeding pipelines

• DOI: 10.1002/csc2.21139
• Publication Date: 2023-10-30T06:59:14Z
• Authors: Marco Antônio Pei...; Igor Ferreira Coelho; Kristen A. Leach; Leonardo L. Bhering; Márcio F. R. Resende
• Keywords: Genetic gain; Trait; Genomic Selection; Breeding program; Molecular breeding; Plant Breeding

Abstract New technologies have been developed over the last few years aiming to support breeding pipeline optimization for long‐term genetic gains. However, implementation of these new tools and their impact on any program's budget are not well studied. Here, we compare multiple strategies accounting genomic selection high‐throughput phenotyping (HTP) by means hybrid gain cost‐effectiveness. We simulated a crop program through coalescent theory. compared two parental updates four pipelines: conventional pipeline; with HTP; selection; HTP. All analyses were implemented under three different levels genotype‐by‐environment interaction (G×E) trait heritabilities (0.3 0.7). Overall, results show that scenarios early perform better than others. In addition, HTP delivered highest in long‐term, whereas seems be more cost‐effective. suggest, considering programs complex inheritance higher G×E, investing pipelines as strategy create maintain gain. Moreover, an unconstrained budget, investment both, HTP, represents best strategy. Hence, provide may aid breeders optimizing self‐pollination programs.