Multi-trait multi-locus SEM model discriminates SNPs of different effects

BMC Genomics

Table 2 Accuracy of trait prediction for four models (Pearson correlation between actual values and predicted and coefficient of determination). Bold font: connected model outperforms zero model; Italic font - prediction accuracies of connected and zero models are nearly equal

Model type	Connected		Zero		Connected		Zero
SNPs influence	extended		extended		base		base
Measure	corr, r	r²	corr, r	r²	corr, r	r²	corr, r	r²
Seed1000W	0.75	0.56	0.75	0.56	0.75	0.56	0.75	0.57
FloCol	0.69	0.48	0.71	0.50	0.65	0.42	0.64	0.42
FlowStemCol	0.68	0.46	0.67	0.45	0.67	0.45	0.66	0.44
SeedCol	0.67	0.45	0.68	0.46	0.60	0.36	0.63	0.39
NoPodsWeight	0.67	0.45	0.67	0.45	0.59	0.34	0.57	0.33
PodLength	0.67	0.44	0.69	0.47	0.65	0.42	0.64	0.41
StemCol	0.64	0.42	0.67	0.45	0.65	0.43	0.67	0.45
PodWidth	0.63	0.40	0.66	0.44	0.64	0.40	0.67	0.44
Height	0.59	0.34	0.59	0.35	0.57	0.33	0.49	0.24
PodsWeight	0.45	0.20	0.42	0.18	0.44	0.19	0.42	0.18
SeedsWeight	0.38	0.14	0.36	0.13	0.38	0.15	0.37	0.14
SeedsNumber	0.36	0.13	0.32	0.10	0.15	0.02	0.15	0.02
EndFBegM	0.33	0.11	0.33	0.11	0.35	0.12	0.32	0.10
Hlp	0.32	0.10	0.35	0.12	0.31	0.10	0.35	0.12
BegFEndF	0.30	0.09	0.28	0.08	0.27	0.07	0.28	0.08
PodsNumber	0.30	0.09	0.27	0.07	0.26	0.07	0.25	0.06

ISSN: 1471-2164