. 2017 May 1;237-238:246–256. doi: 10.1016/j.agrformet.2017.02.025

Table 6.

The statistical results generated from the regression, Student’s t-test, error and modeling efficiency between simulated and measured values using ORYZA (v3) and ORYZA2000 (v2.13) for simulations.

Statisted variable^a	N	Y	X	a	b	r²	P(t)	RMSEn	Meff
Statisted variable^a	ORYZA (v3)
WAGT	341	4.75	4.75	0.32	0.95	0.98	0.92	12.34	0.98
WSO	161	2.89	2.88	0.20	0.91	0.98	0.43	23.23	0.96
WST	341	1.87	1.89	0.22	0.95	0.92	1.00	24.33	0.90
WLVD	175	0.80	0.86	0.14	0.69	0.85	1.00	48.06	0.78
WLVG	341	1.05	1.04	0.21	0.84	0.91	0.96	28.44	0.86
Yield	60	4.39	4.54	0.17	0.93	0.96	0.91	14.76	0.92
LAI	341	2.19	1.10	0.74	0.86	0.84	1.00	43.78	0.62
Leaf_N	168	1.09	1.10	0.39	0.63	0.72	0.38	29.57	0.50
AWD2	480	16.20	14.88	4.09	0.81	0.72	0.96	95.33	0.33
AWD3 + Aerobic3	1258	11.26	11.27	−0.01	1.00	1.00	1.00	1.06	1.00
AWD4	633	4.74	7.64	1.32	0.45	0.95	1.00	63.24	0.49
AWD5	639	6.87	6.88	0.00	1.00	1.00	0.33	0.93	1.00
AWD6	356	5.48	4.51	0.55	1.09	0.75	1.00	55.34	−0.12

	ORYZA2000 (v2.13)
WAGT	341	4.99	4.75	0.37	0.96	0.97	0.99	22.51	0.95
WSO	161	2.65	2.88	0.42	0.89	0.96	0.95	28.19	0.91
WST	341	2.05	1.89	0.21	0.96	0.93	1.00	31.86	0.86
WLVD	175	0.71	0.86	0.15	0.73	0.85	0.98	55.19	0.72
WLVG	341	1.06	1.04	0.18	0.84	0.90	0.16	37.63	0.81
Yield	60	4.31	4.54	−0.19	0.99	0.93	0.94	20.48	0.84
LAI	341	2.46	2.05	0.69	0.79	0.84	1.00	48.64	0.69
Leaf_N	168	0.80	1.10	0.24	0.52	0.60	1.00	41.97	−0.12
AWD2	480	13.09	14.88	4.60	0.68	0.33	0.32	99.23	0.14
AWD3 + Aerobic3	1258	9.54	11.27	8.13	0.10	0.33	1.00	97.76	0.13
AWD4	633	12.91	7.64	3.61	1.04	0.28	0.99	400.20	−11.89
AWD5	639	7.56	6.88	5.38	0.32	0.31	0.99	93.02	−0.47
AWD6	356	9.92	4.51	5.27	0.67	0.55	1.00	74.87	−0.75

The crop growth involved in the statistical analysis were WAGT: total above-ground biomass (t ha⁻¹), WSO: panicle biomass (t ha⁻¹), WST: stem biomass (t ha⁻¹), WLVG: green leaf biomass (t ha⁻¹), LAI: leaf area index, Leaf_N: nitrogen content of green leaves (g N m⁻² leaf), and Yield: grain yield (t ha⁻¹). The soil variables used for statistical analysis were AWD2, AWD4, AWD5 and AWD6: soil water potential in the 2nd, 4th, 5th and 6th soil layers AWD experiment, respectively, and AWD3 + Aerobic3: the water potential of the 3rd soil layer in AWD and ARE experiments.