The effect of humic acid and water super absorbent polymer application on sesame in an ecological cropping system: a new employment of structural equation modeling in agriculture

Table 8 Correlation coefficients of measured variables which are indeed the standardized covariances

	SoilProperties	PlantPhisiology	PlantArchitecture	QualitativeYield	OilPercentage	ProteinPercentage	SeedW	SoilpH	SoilEC	SoilN	PlantH	BiolY	SeedY	LAI	WUE	SoilP	CGR
SoilProperties	1.000
PlantPhisiology	− 0.016	1.000
PlantArchitecture	− 0.035	0.496	1.000
QualitativeYield	0.150	0.310	0.642	1.000
OilPercentage	0.103	0.213	0.441	0.688	1.000
ProteinPercentage	0.132	0.273	0.566	0.882	0.606	1.000
SeedW	− 0.008	0.526	0.261	0.163	0.112	0.144	10.000
SoilpH	− 0.785	0.012	0.027	− 0.118	− 0.081	− 0.104	0.006	1.000
SoilEC	0.974	− 0.015	− 0.034	0.146	0.101	0.129	− 0.008	− 0.764	1.000
SoilN	0.805	− 0.013	− 0.028	0.121	0.083	0.106	− 0.007	− 0.632	0.784	1.000
PlantH	− 0.028	0.402	0.811	0.521	0.358	0.459	0.212	0.022	− 0.027	− 0.023	1.000
BiolY	− 0.008	0.542	0.269	0.168	0.116	0.148	0.285	0.007	− 0.008	− 0.007	0.218	1.000
SeedY	− 0.014	0.902	0.447	0.280	0.192	0.247	0.475	0.011	− 0.014	− 0.011	0.363	0.489	1.000
LAI	− 0.032	0.457	0.922	0.591	0.407	0.521	0.241	0.025	− 0.031	− 0.026	0.748	0.248	0.412	1.000
WUE	− 0.032	0.454	0.916	0.588	0.404	0.518	0.239	0.025	− 0.031	− 0.026	0.743	0.246	0.410	0.844	1.000
SoilP	− 0.015	0.981	0.487	0.304	0.209	0.268	0.517	0.012	− 0.015	− 0.012	0.395	0.532	0.885	0.448	0.446	1.000
CGR	− 0.015	0.958	0.475	0.297	0.204	0.262	0.504	0.012	− 0.015	− 0.012	0.386	0.519	0.864	0.438	0.435	0.940	1.000