Table 4.

SNP markers that were significantly associated with the late blight resistance phenotype in the field trials in China (Kun2015, Kun2016), Ethiopia (Hol2016), and Peru (Oxa2014)

Marker (chromosome followed by position)	Ref	Alt	Trial	Model	Threshold	Score	Effect
0_36073482	G	A	Oxa2014	General	4.71	9.13	NA
				Additive	4.78	9.13	−0.19
				1-dom-alt	4.71	9.13	−0.19
			Kun2015	General	4.74	19.23	NA
				Additive	4.78	19.23	−0.29
				1-dom-alt	4.71	19.23	−0.29
			Kun2016	General	4.76	22.22	NA
				Additive	4.78	22.22	−0.27
				1-dom-alt	4.71	22.22	−0.27
3_3319097	A	T	Hol2017	General	4.49	5.83	NA
9_58779951	G	A	Oxa2014	Additive	4.78	4.95	−0.11
				1-dom-alt	4.71	5.62	−0.13
			Kun2015	1-dom-alt	4.71	5.53	−0.14
			Kun2016	1-dom-alt	4.71	5.01	−0.12
9_59967523	A	T	Kun2015	General	4.74	7.5	NA
				Additive	4.78	6.92	−0.14
				1-dom-alt	4.71	8.39	−0.18
			Kun2016	General	4.76	8.59	NA
				Additive	4.78	9.18	−0.14
				1-dom-alt	4.71	9.15	−0.16
9_60067335	A	G	Oxa2014	General	4.71	11.94	NA
				Additive	4.78	12.54	−0.21
				1-dom-alt	4.71	12.94	−0.21
			Kun2015	General	4.74	18.71	NA
				Additive	4.78	18.29	−0.26
				1-dom-alt	4.71	19.61	−0.27
			Kun2016	General	4.76	19.13	NA
				Additive	4.78	19.94	−0.24
				1-dom-alt	4.71	20.18	−0.25

The associations were modeled using tetraploid SNP with GWASpoly software and general, additive, and 1-dominance models.