Genomic prediction of Fusarium head blight resistance in early stages using advanced breeding lines in hard winter wheat

• DOI: 10.1016/j.cj.2022.03.010
• Publication Date: 2022-04-26T02:12:33Z
• Authors: Jinfeng Zhang; Harsimardeep S. Gill; Navreet K. Brar; Jyotirmoy Halder; Shaukat Ali; Xiaotian Liu; Amy Bernardo; Paul St. Amand; Guihua Bai; Upinder S. Gill; Brent Turnipseed; Sunish K. Sehgal
• Keywords: Univariate; Trait

Fusarium head blight (FHB), also known as scab, is a devastating fungal disease of wheat that causes significant losses in grain yield and quality. Quantitative inheritance cumbersome phenotyping make FHB resistance challenging trait for direct selection breeding. Genomic to predict traits has shown promise several studies. Here, we used univariate multivariate genomic prediction models evaluate the accuracy (PA) different using 476 elite advanced breeding lines developed by South Dakota State University hard winter program. These were assessed index (DIS), percentage damaged kernels (FDK) three nurseries 2018, 2019, 2020 (TP18, TP19, TP20) evaluated training populations (TP) (GP) traits. We observed moderate PA DIS (0.39 0.35) FDK (0.35 0.37) TP19 TP20, respectively, while slightly higher was (0.41 0.38 FDK) when TP20 (TP19 + 20) combined leverage advantage large population. Although GP with approach including plant height days heading covariates did not significantly improve over models, DON increased 20% DIS, FDK, DTH multi-trait model 2020. Finally, 20 forward calculate genomic-estimated values (GEBVs) preliminary at an early stage up 0.59 0.54 demonstrating earlier stages lines. Our results suggest expensive like can facilitate rejection highly susceptible materials