Model Analysis and Comparative Study on Growth Characteristics of Triplophysa scleroptera

doi:10.11924/j.issn.1000-6850.casb2023-0678

Abstract

Abstract:

By analyzing the growth characteristics of the Yellow River mainstream Triplophysa scleroptera, the aim of the study was to enrich its biological research. A total of 274 samples of Triplophysa scleroptera collected in Gansu and Ningxia sections of the mainstream of the Yellow River in 2022 and 2023 were used as experimental samples to analyze their age composition. Growth equation of Von Bertalanffy (VBGF), Logistic GF, Gompertz growth equation and power exponential growth equation were adopted to simulate the growth of Triplophysa scleroptera, and the maximum likelihood method was used to estimate the model parameters, and then the AIC criterion (Akaike Information Criterion) was used to evaluate the effects of each model, and the best model was selected to analyze the growth characteristics of Triplophysa scleroptera. The results showed that the VBGF growth equation (AIC value: 63.74) was the most suitable growth model for Triplophysa scleroptera, followed by the Gompertz growth equation (AIC value: 64.11) and the power exponential growth equation (AIC value: 64.12), and the Logistic growth equation (AIC value: 65.05) had the worst fitting effect, and the VBGF growth equation for the full length of the Triplophysa scleroptera is L_t=28.986·[1-e^-0.097·(^t₁^+1.258)]; the weight growth equation is W_t=194.721·[1-e^-0.097·(^t^1+1.258)]^2.9889. The results of this study can provide a scientific basis for the conservation of Triplophysa scleroptera resources.

Key words: Triplophysa scleroptera, otolith, age and growth, growth model, growth characteristics, Von bertalanffy growth equation, Gompertz growth equation, power exponential growth equation, resource conservation

ZHANG Rui, WANG Jilong, LI Peilun, LIU Jiacheng, LIU Yanbin, WANG Tai, LIU Kai, ZHANG Jian, ZHAO Peng. Model Analysis and Comparative Study on Growth Characteristics of Triplophysa scleroptera[J]. Chinese Agricultural Science Bulletin, 2024, 40(20): 158-164.

Figures/Tables 9

References 30

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年龄组	全长范围/cm	平均全长/cm	体重范围/g	平均体重/g	所占比例/%
1	4.8~6.6	5.8±0.64	0.97~2.39	1.71±0.47	3.29%
2	6.2~10.6	7.7±0.96	1.64~9.41	3.76±1.50	17.52%
3	7.9~13.3	10.1±1.08	4.24~16.20	8.60±2.93	22.26%
4	9.2~14.8	11.4±1.11	5.04~35.29	12.78±4.20	42.70%
5	11.4~15.6	13.5±1.14	11.37~29.79	19.61±5.04	10.95%
6	12.3~17.8	14.5±1.64	14.14~47.20	26.98±10.87	3.29%

年龄组	全长范围/cm	平均全长/cm	体重范围/g	平均体重/g	所占比例/%
1	4.8~6.6	5.8±0.64	0.97~2.39	1.71±0.47	3.29%
2	6.2~10.6	7.7±0.96	1.64~9.41	3.76±1.50	17.52%
3	7.9~13.3	10.1±1.08	4.24~16.20	8.60±2.93	22.26%
4	9.2~14.8	11.4±1.11	5.04~35.29	12.78±4.20	42.70%
5	11.4~15.6	13.5±1.14	11.37~29.79	19.61±5.04	10.95%
6	12.3~17.8	14.5±1.64	14.14~47.20	26.98±10.87	3.29%

参数	雌	雄	总体
L_∞	20.56	41.062	31.129
K	0.172	0.058	0.086
t₀	-0.773	-1.854	-1.468
RSS总和	0.261235291	0.250410019	0.801657189
F	1.13364424

参数	雌	雄	总体
L_∞	20.56	41.062	31.129
K	0.172	0.058	0.086
t₀	-0.773	-1.854	-1.468
RSS总和	0.261235291	0.250410019	0.801657189
F	1.13364424

生长模型	L_∞	K	t₀	m	Deviation/cm	AIC	△_i
VBGF	28.986	0.097	-1.258	3	11.176	63.74	0
Logistic GF	17.629	0.443	2.506	3	0.181	65.05	1.32
Gompertz GF	19.968	0.273	1.752	3	2.158	64.11	0.38
生长模型	A	B	C	m		AIC	△_i
幂指数模型Power exponential	0.253	3.100	0.152	3		64.12	0.39