Table 5.

Comparison of genomic selection models accuracy and pairwise comparisons for stripe rust IT and disease severity (SEV) for PNW winter wheat DP lines and BLs phenotyped from 2013 to 2020 in Central Ferry, Lind, and Pullman, WA, USA over all individual population cross-validation sets and combined validation sets.

Trait	Pop	rrBLUP	Yr17	Yr10	IWB12603	Lr68	All_M	GWAS_B	GWAS_5	GWAS_10	GWAS_25	GWAS_50	GWAS_100
IT	BL	0.58b	0.59a	0.58b	0.58b	0.58b	0.59a	0.57c	0.57c	0.56d	0.54e	0.52f	0.51g
	DP	0.53ab	0.53ab	0.53a	0.52b	0.53ab	0.52b	0.47c	0.47c	0.44d	0.42e	0.41f	0.4g
	VS	0.48d	0.49b	0.49cd	0.48d	0.48d	0.49ab	0.5a	0.49bc	0.48d	0.45e	0.44f	0.43g
SEV	BL	0.59b	0.6ab	0.59ab	0.59b	0.59b	0.6a	0.57cd	0.58c	0.56d	0.55e	0.53f	0.52g
	DP	0.64ab	0.64ab	0.64a	0.63b	0.64ab	0.64ab	0.6c	0.6c	0.57d	0.54e	0.54f	0.53g
	VS	0.54bc	0.55a	0.54abc	0.54abc	0.54abc	0.55ab	0.54cd	0.54d	0.54cd	0.52e	0.52e	0.52e

Models labeled with the same letter are not significantly different (p = 0.05). Adjustments: ALL_M: IWB12603(Qyr.wpg-1B.1), KASP (Lr68), Xpsp3000(Yr10), and KASP (Yr17) combined; GWAS_B, genome-wide association assisted genomic selection (GWAS-GS) with Bonferonni significant markers; GWAS_5, GWAS-GS with the top 5 significant markers; GWAS_10, GWAS-GS with the top 10 significant markers; GWAS_25, GWAS-GS with the top 25 significant markers; GWAS_50, GWAS-GS with the top 50 significant markers; GWAS_100, GWAS-GS with the top 100 significant markers.