TABLE 3.

Detected QTLs affecting PAA traits using CSSL population across three environments.

QTLa	Chr.	Markerb	Environment	LODc	PVE(%)d	Adde
qPAA1.1	1	RM8111-RM259	E1	4.36	1.88	0.61
			E3	6.58	1.38	0.48
qPAA1.2	1	RM3143-RM5302	E3	15.62	3.89	–2.08
qPAA3	3	RM3513-RM2334	E1	12.02	5.97	–1.17
			E2	3.84	2.25	–0.69
			E3	17.67	4.57	–0.94
qPAA4.1	4	RM17616-RM17683	E1	11.23	5.61	–5.48
			E2	15.92	8.07	–5.29
			E3	19.14	6.86	–6.4
qPAA4.2	4	RM16467-RM16874	E3	9.81	2.19	0.79
qPAA5.1	5	RM3295-RM3476	E1	13.46	6.87	1.76
			E2	16.82	12.52	2.27
qPAA5.2	5	RM334-RM1054	E3	12.79	8.50	1.89
qPAA7	7	RM1132-RM234	E1	41.28	36.89	2.55
			E2	27.98	25.95	2.04
			E3	42.23	18.04	1.63
qPAA9	9	STS-OJ1001_G09-RM3700	E3	25.93	7.89	–1.23
qPAA11	11	RM5349-STS-OSJNBa0034P08	E3	25.78	7.82	1.34

^aThe QTLs for PAA are temporarily named “qPAA + number of chromosome + number of QTL”.

^bFlanking markers of PAA-related QTLs.

^cPeak LOD value of the QTL.

^dThe phenotypic variation explained by the putative QTL.

^eAdditive effect. Positive, negative additive effects: increased, reduced PAA from Koshihikari allele, respectively.