TABLE 4.

Principal component analysis of lettuce traits.

Phenotypic traits	Component
	1	2	3	4	5	6
PA	0.840	–0.281	0.382	–0.013	–0.169	–0.094
PP	0.821	–0.462	–0.149	–0.052	–0.043	0.092
CA	0.885	–0.430	0.040	–0.066	–0.087	0.025
CP	0.895	–0.428	–0.029	–0.038	0.025	–0.044
AXL	0.818	–0.406	–0.125	–0.017	0.092	–0.348
AXS	0.844	–0.387	0.107	–0.041	–0.068	0.286
PAR	0.075	0.270	0.886	0.118	–0.258	0.163
CAR	–0.033	0.377	0.861	0.156	–0.100	–0.248
R	0.479	0.850	–0.171	–0.050	–0.015	–0.016
G	0.568	0.803	–0.080	0.076	0.103	0.004
B	0.499	0.695	–0.334	0.350	–0.096	–0.039
H	0.115	–0.469	0.191	0.736	0.422	0.085
S	0.269	0.341	0.541	–0.475	0.537	0.047
V	0.565	0.807	–0.091	0.061	0.089	–0.001
ExG	0.409	0.796	–0.137	0.014	–0.045	0.111
Eigenvalue	5.725	4.661	2.228	0.951	0.625	0.334
Variance contribution rate (%)	38.168	31.076	14.855	6.340	4.168	2.229
Cumulative contribution rate (%)	38.168	69.244	84.099	90.439	94.607	96.837

Extraction Method: principal component analysis. a. 6 components extracted.