Table 2.

Summary of QTL for transformations Z₁ and Z^a₂ of several traits evaluated under infestation with MCB in the backcrosses of a RIL population derived from EP42 xA637.

							Effectb
Parameter	Trait	Bin	cM	Interval	Left flanking marker	LOD	DS	ES	TS	Bias	$R_{\mathrm{i}}^2$	pi	Frequency
Z2	Stem lodging	6.02–6.03	41	28–51	umc1006	3.85	−2.19	−2.16	−1.62	0.25	11.4	41.9	0.47
	Kernel moisture	5.03	68	63–74	bnlg1046	6.24	0.19	0.19	0.18	0.08	10.4	100.0	0.95
	Kernel yield	1.02–1.03	71	54–90	bnlg1429	3.42	0.42	0.39	0.17	0.56	8.0	8.5	0.35
		3.04–3.05	93	83–114	phi029	3.21	0.31	0.34	0.14	0.58	5.9	6.2	0.20
		6.06	125	117–132	umc1424	3.20	0.32	0.36	0.25	0.30	8.4	8.9	0.57
		8.05	90	86–92	umc1309a	6.21	0.43	0.39	0.36	0.08	14.5	15.3	0.94
	Plant height	2.04–2.05	118	105–131	phi083	5.15	2.55	2.54	1.82	0.28	7.9	11.0	0.69
	Ear height	3.00–3.02	18	0–29	umc2101	6.32	−2.11	−2.18	−1.34	0.38	7.7	11.2	0.68
		5.03–5.04	85	74–94	umc1692	4.92	1.39	1.73	1.22	0.30	6.1	8.8	0.55
		5.05–5.06	140	125–161	umc1822	3.84	1.33	1.51	0.90	0.40	5.4	7.8	0.47
		8.01–8.02	23	0–42	umc1327	3.06	−1.97	−2.47	−0.74	0.70	5.1	7.4	0.16
		8.05–8.06	96	90–109	bnlg1812	3.26	1.60	1.62	0.81	0.50	9.0	13.0	0.53
Z1	Days to silking	7.03	25	18–29	mmc0411	2.93	0.67	0.77	0.31	0.60	7.0	9.8	0.36
		8.05–8.06	102	93–109	bnlg1812	7.56	1.37	1.36	1.24	0.08	15.5	21.7	0.86
	Kernel moisture	1.08–1.09	210	187–257	phi037	2.88	0.89	0.72	0.41	0.44	9.4	17.4	0.63
	Tunnel length	9.03–9.04	66	57–70	umc1267	3.41	−3.83	−4.05	−2.31	0.43	7.3	72.0	0.64
	Plant height	9.03	54	49–61	phi065	2.78	−6.54	−7.01	−6.33	0.10	12.5	19.7	0.77
	Ear height	9.03	54	50–59	phi065	7.93	−4.08	−4.51	−4.10	0.09	12.5	20.8	0.99
	Kernel resistance	5.05–5.06	111	110–118	umc1822	4.34	0.14	0.17	0.07	0.59	4.2	17.5	0.40

^aDefinitions of transformations Z₁ and Z₂ can be found in the materials and methods' section.

^bEffects estimated with the complete data set (DS), the estimation set (ES), the validation set (TS), and the proportion of the bias in the effect estimation of each individual QTL due to genotypic samplings calculated as the difference between the average estimates in ES and TS divided by the estimate in ES; ${\text{R}}_{\mathrm{i}}^2$, the adjusted proportion of phenotypic variance explained by QTL_i; p_i, the adjusted proportion of the genetic variance explained by QTL_i; Freq, percentage of cross-validation runs in which the QTL has been detected.