Table 2.

Parameters values and adjustment quality for the complete and simplified models.

	Complete model				Simplified model
	ICF Model		ICP Model		ICF Model		ICP Model
	Wheat	Faba bean	Wheat	Pea	Wheat	Faba bean	Wheat	Pea
YieldSCW	1.50	−1.54	1.26	−1.73	1.26	−0.50	1.28	0.02
	p = 0.02	p = 0.04	p < 0.0001	p < 0.001	p < 0.01	p = 0.25	p < 0.0001	p = 0.95
${\text{Yield}}_{\text{SC}\frac{1}{2}W}$	−0.55	−0.31	−0.41	0.19	–	–	–	–
	p = 0.26	p = 0.59	p = 0.25	p = 0.58
IEWheat	−5.71	−12.84	−5.30	−9.13	–	–	–	–
	p = 0.33	p = 0.09	p = 0.18	p = 0.03
YieldSCLeg	0.13	−0.01	0.05	−0.66	–	–	–	–
	p = 0.18	p = 0.93	p = 0.88	p = 0.07
${\text{Yield}}_{\text{SC}\frac{1}{2}Legume}$	−0.18	0.51	−0.09	0.29	−0.10	0.89	0.10	0.98
	p = 0.33	p = 0.04	p = 0.74	p = 0.32	p = 0.44	p < 0.001	p = 0.45	p < 0.001
IELegume	−1.37	2.32	−1.00	1.12	−1.39	3.16	−0.99	4.33
	p = 0.11	p = 0.04	p = 0.39	p = 0.32	p = 0.08	p < 0.01	p = 0.08	p < 0.001
Constant	5.17	12.93	4.72	13.35	0.19	−1.48	−0.94	−4.15
	p = 0.39	p = 0.10	p = 0.20	p < 0.0001	p = 0.87	p = 0.37	p = 0.38	p = 0.02
RMSE	0.19	0.23	0.14	0.13	0.22	0.30	0.15	0.22
BIAS	7.1·10−16	−5.3·10−16	1.6·10−15	−1.3·10−15	−2.8·10−17	−4.6·10−16	1.4·10−16	−9.5·10−16
EF	0.89	0.95	0.91	0.96	0.84	0.90	0.88	0.89

Yield units are Mg ha⁻¹. The level of statistical significance of the associated variable in the models corresponds to that revealed by the multiple regressions.