Assessing the effects of different agro-residue as substrates on growth cycle and yield of Grifola frondosa and statistical optimization of substrate components using simplex-lattice design

AMB Express

Table 3 Variance analysis of the quadratic polynomial regression model for yield

Variation sources	Sum of squares	DF	Mean square	F	P
Model	3,760,676	14	2686.20	397.07	< 0.0001
Linear mixed model	29,142.60	4	7285.65	1076.96	< 0.0001
X₁X ^a₂	14.08	1	14.08	2.08	0.0079
X₁X₃	18.01	1	18.01	2.66	0.0027
X₁X₄	918.75	1	918.75	135.81	< 0.0001
X₁X₅	1.54	1	1.54	0.23	0.6823
X₂X₃	34.34	1	34.34	5.08	0.0014
X₂X₄	972.00	1	972.00	143.68	< 0.0001
X₂X₅	147.70	1	147.70	21.83	< 0.0001
X₃X₄	62.11	1	62.11	9.18	< 0.0001
X₃X₅	422.45	1	422.45	62.45	< 0.0001
X₄X₅	4029.67	1	4029.67	595.66	< 0.0001
Residual	128.86	36	3.58
Lack of fit	27.38	6	4.56	1.35	0.2669
Error	101.48	30	3.38
Sum	37,708.24	29