Effects of Morphological Traits on Body Weight of Sillago Sinica in Zhoushan Offshore Based on Path Analysis and Grey Relational Analysis

doi:10.11924/j.issn.1000-6850.casb2023-0014

Abstract

Abstract:

In order to study the relationships between morphological traits and body weight of Sillago sinica, 107 samples in the offshore of Zhoushan were randomly selected, and their body weight (X₀) and 11 morphological traits including snout length (X₁), head length (X₂), body length (X₃), total length (X₄), caudal peduncle length (X₅), caudal peduncle height (X₆), body thickness (X₇), eye diameter (X₈), interorbital diameter (X₉), head length behind eyes (X₁₀) and body height (X₁₁) were measured and analyzed by correlation analysis, multiple regression analysis, path analysis and grey relational analysis. The correlation analysis results showed that all the morphological traits were significantly correlated with body weight (P<0.01), and the correlation coefficient between body length and body weight was the greatest of all. After eliminating the severe collinearity effects, two indexes (body length and caudal peduncle height) that significantly linearly correlated with body weight were considered as the independent variables, and body weight was regarded as the dependent variable. The optimal multiple linear regression equation was finally constructed as: Y=-87.734+6.174X₃+24.398X₆. The path analysis results revealed that body length had the largest direct effect on body weight, while caudal peduncle height had the largest indirect effect on it. The top five grey relational degrees between each morphological trait and body weight were body length, total length, caudal peduncle height, body height, and head length. Comprehensive findings indicated that during the process of Sillago sinica fishery resource development and management, body length and caudal peduncle height should be separately used as the priority measure index and auxiliary one to formulate the optimal catchable size and mesh size.

Key words: Sillago sinica, morphological traits, body weight, path analysis, grey relational analysis

JIANG Xiaozi, JIANG Wenjing, ZHANG Qianya, XIAO Meng, YANG Tianyan. Effects of Morphological Traits on Body Weight of Sillago Sinica in Zhoushan Offshore Based on Path Analysis and Grey Relational Analysis[J]. Chinese Agricultural Science Bulletin, 2024, 40(2): 152-158.

Figures/Tables 10

References 34

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性状	最小值	最大值	平均值	标准差	变异系数/%
X₀	15	91	42.24	14.85	35.15
X₁	1	2	1.94	0.19	9.82
X₂	4	6	4.39	0.39	8.78
X₃	13	21	16.65	1.62	9.74
X₄	15	24	19.06	1.76	9.23
X₅	1	3	1.92	0.22	11.22
X₆	1	2	1.11	0.17	14.97
X₇	1	3	2.07	0.29	13.95
X₈	1	3	0.83	0.24	29.31
X₉	1	2	1.02	0.20	19.36
X₁₀	1	2	1.81	0.19	10.68
X₁₁	2	3	2.49	0.30	12.87

性状	最小值	最大值	平均值	标准差	变异系数/%
X₀	15	91	42.24	14.85	35.15
X₁	1	2	1.94	0.19	9.82
X₂	4	6	4.39	0.39	8.78
X₃	13	21	16.65	1.62	9.74
X₄	15	24	19.06	1.76	9.23
X₅	1	3	1.92	0.22	11.22
X₆	1	2	1.11	0.17	14.97
X₇	1	3	2.07	0.29	13.95
X₈	1	3	0.83	0.24	29.31
X₉	1	2	1.02	0.20	19.36
X₁₀	1	2	1.81	0.19	10.68
X₁₁	2	3	2.49	0.30	12.87

检验方法	统计量	自由度	显著水平
柯尔莫戈洛夫-斯米诺夫检验	0.078	107	0.112
夏皮洛-威尔克检验	0.956	107	0.001

检验方法	统计量	自由度	显著水平
柯尔莫戈洛夫-斯米诺夫检验	0.078	107	0.112
夏皮洛-威尔克检验	0.956	107	0.001

性状	X₀	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀	X₁₁
X₀	1.000	-	-	-	-	-	-	-	-	-	-	-
X₁	0.614^**	1.000	-	-	-	-	-	-	-	-	-	-
X₂	0.757^**	0.746^**	1.000	-	-	-	-	-	-	-	-	-
X₃	0.912^**	0.732^**	0.864^**	1.000	-	-	-	-	-	-	-	-
X₄	0.899^**	0.750^**	0.874^**	0.982^**	1.000	-	-	-	-	-	-	-
X₅	0.702^**	0.538^**	0.650^**	0.736^**	0.725^**	1.000	-	-	-	-	-	-
X₆	0.858^**	0.566^**	0.720^**	0.867^**	0.845^**	0.699^**	1.000	-	-	-	-	-
X₇	0.724^**	0.591^*	0.618^**	0.735^**	0.714^**	0.544^**	0.743^**	1.000	-	-	-	-
X₈	0.315^**	0.089	0.197^*	0.278^**	0.264^**	0.205^**	0.303^**	0.275^**	1.000	-	-	-
X₉	0.324^**	0.486^**	0.357^**	0.354^**	0.374^**	0.219^**	0.288^**	0.393^**	0.043	1.000	-	-
X₁₀	0.573^**	0.607^**	0.628^**	0.635^**	0.659^**	0.555^**	0.511^**	0.459^**	0.049	0.376^**	1.000	-
X₁₁	0.798^**	0.621^**	0.737^**	0.827^**	0.824^**	0.626^**	0.821^**	0.714^**	0.295^**	0.392^**	0.544^**	1.000