Genomic prediction of crown rust resistance in Lolium perenne

• DOI: 10.1186/s12863-018-0613-z
• Publication Date: 2018-05-29T12:25:19Z
• Authors: Sai Krishna Arojju; Patrick Conaghan; Susanne Barth; Dan Milbourne; Michael D. Casler; Trevor R. Hodkinson; Thibauld Michel; Stephen L. Byrne
• Keywords: Marker-Assisted Selection; Rust (programming language); Genome-wide Association Study

Genomic selection (GS) can accelerate genetic gains in breeding programmes by reducing the time it takes to complete a cycle of selection. Puccinia coronata f. sp lolli (crown rust) is one most widespread diseases perennial ryegrass and lead reductions yield, persistency nutritional value. Here, we used large population assess accuracy using genome wide markers predict crown rust resistance investigate factors affecting predictive ability. Using these data, ability for reached maximum 0.52. Much resulted from capture relationships among families within training set, marker density had little impact on permutation based variable importance measure association studies (GWAS) identify rank enabled identification small subset SNPs that could achieve abilities close those achieved set. GWAS panel be identified higher than same number randomly selected markers, with entire This was particularly evident sub-population characterised having on-average genome-wide linkage disequilibirum (LD). Higher over random suggests they are LD QTL. Accuracy due will decay rapidly generations whereas persist, which advantageous practical applications.