New insights into QTNs and potential candidate genes governing rice yield via a multi-model genome-wide association study

Table 1 Common QTNs for three grain quantity traits in rice across different multi-methods

Trait	Method^a	Marker	Chr	Position (bp)	QTN effect	LOD score	r² (%)^b
Pl Ht	1,2,3,4	41184096	1	41184096	7.82	5.76	5.64
Pl Ht	5,6	53308499	2	10037576	-3.06, -8.86	3.56,3.15	1.45,2.92
PYD	1,2,3,5	65474785	2	22203862	284.86	4.39	2.47
PYD	1,2,3,5	77317239	2	34046316	257.91	3.91	2.24
PYD	1,2,3,5	83271479	3	4063306	169.78	3.80	1.52
Pl Ht	2,4,5,6	238555432	7	26223525	7.43, 6.39, 8.97	7.29, 7.03, 3.19	7.34,6.29,3.03
DTF	3,4	245045948	8	3016420	3.85	6.93	4.94
PYD	1,2,3,4,5	280074957	9	9602407	-544.06	5.95	7.81
DTF	1,2,3,4	293545796	10	60526	-4.74	7.07	7.43
Pl Ht	1,2,3,4	341803503	11	25110946	5.81	3.96	4.44
Pl Ht	3,5	325332817	11	8640260	-10.84	4.82	6.28
PYD	1,2,3,5	339876697	11	23184140	239.78	3.11	1.50
DTF	4,5	359450698	12	13737035	-5.86, -3.57	5.02	7.85,3.5
DTF	1,2,3,5	368582572	12	22868909	-4.22	7.93	6.78
PYD	1,3,4	357969622	12	12255959	-587.86	3.72	8.61

Pl Ht Plant height; DTF Days to flowering, PYD Plot yield
^aMLM, CMLM,MLMM,mrMLM,FASTmrMLM,FASTmrEMMA were indicated by , respectively
^br²(%), proportion of total phenotypic variation explained by each QTN. Bold text indicates the QTNs appeared to be in vicinity of genes or QTLs associated with Pl Ht, DTF and PYD

ISSN: 1471-2229