Evaluating genomic selection and speed breeding for Fusarium head blight resistance in wheat using stochastic simulations.

ABSTRACT: Genomic selection-based breeding programs offer significant advantages over conventional phenotypic selection, particularly in accelerating genetic gains in plant breeding, as demonstrated by simulations focused on combating Fusarium head blight (FHB) in wheat. FHB resistance, a crucial trait, is challenging to breed for due to its quantitative inheritance and environmental influence, leading to slow progress using conventional breeding methods. Stochastic simulations in our study compared various breeding schemes, incorporating genomic selection (GS) and combining it with speed breeding, against conventional phenotypic selection. Two datasets were simulated, reflecting real-life genotypic data (MASBASIS) and a simulated wheat breeding program (EXAMPLE). Initially a 20-year burn-in phase u

SUBMITTER: Nannuru VKR 

PROVIDER: S-EPMC11717775 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature