Table 12.

Eigenvalue and weight analysis of the covariance matrix loading for principal components of body color.

Item	PCA1	PCA2	Weight on PCA1	Weight on PCA2	Total weight	Total weight rank (no.)1,2
Dorsal
SM	−0.90	−0.55	−0.86	−0.13	−0.99	6
BSFLM15	−1.40	−0.24	−1.34	−0.06	−1.40	7
BSFLM30	−0.31	−0.29	−0.29	−0.07	−0.36	5
BSFLM45	0.33	−0.26	0.32	−0.06	0.26	4
BSFLM60	0.63	0.00	0.61	0.00	0.61	3
BSFLM75	0.60	0.53	0.58	0.12	0.70	2
BSFLM100	1.05	0.83	1.00	0.19	1.19	1
Eigenvalue	3.56	1.36
Eigenvalue square	1.89	1.17
Variance percentage	50.78	19.43
Lateral line
SM	−0.87	−0.69	−0.77	−0.16	−0.94	7
BSFLM15	0.42	0.09	0.38	0.02	0.40	3
BSFLM30	−0.52	−1.01	−0.46	−0.24	−0.70	6
BSFLM45	−0.12	−0.56	−0.11	−0.13	−0.24	5
BSFLM60	0.66	−0.20	0.59	−0.05	0.54	2
BSFLM75	−0.04	1.37	−0.04	0.32	0.29	4
BSFLM100	0.47	1.01	0.42	0.24	0.65	1
Eigenvalue	2.34	0.96
Eigenvalue square	1.53	0.98
Variance percentage	58.39	23.96
Ventral
SM	−1.04	0.04	−1.45	0.00	−1.44	7
BSFLM15	0.25	−0.54	0.35	−0.06	0.30	3
BSFLM30	−0.25	−0.43	−0.34	−0.05	−0.39	5
BSFLM45	−0.82	0.01	−1.14	0.00	−1.14	6
BSFLM60	0.58	−0.65	0.81	−0.07	0.74	2
BSFLM75	−0.09	0.03	−0.13	0.00	−0.12	4
BSFLM100	1.36	1.54	1.89	0.16	2.05	1
Eigenvalue	3.14	0.56
Eigenvalue square	1.77	0.75
Variance percentage	78.38	14.09

BSFLM = black soldier fly larvae meal; SM = soybean meal.

¹Total weight = PCA1 × Eigenvalue square × Variance percentage/100 (Weight on PCA1) + PCA2 × Eigenvalue square × Variance percentage/100 (Weight on PCA2).

²Numbers represent the grades of body color characteristics of each experimental group in all groups, and the smaller the number, the better the color characteristics.