首页|基于多模型推断估计池塘混养条件下凡纳滨对虾的生长参数

基于多模型推断估计池塘混养条件下凡纳滨对虾的生长参数

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对混养草鱼(Ctenopharyngodon idella)池塘中的凡纳滨对虾(Litopenaeus vannamei)进行了5个月的周期性采样,应用Brody、Gompertz、Logistic、Richards、von Bertalanffy和广义von Bertalanffy等6种备选生长模型对其生长过程进行了拟合研究,利用最大似然法估算了以上6种模型的生长参数,并综合应用赤池信息准则(AIC)和贝叶斯信息准则(BIC)对模型拟合度进行检验.研究结果表明凡纳滨对虾体长-体质量回归关系为W=0.0106L3.066(R2=0.987),经t-检验b值显著大于3,凡纳滨对虾表现为正异速生长(b>3).AIC和BIC检验结果表明,von Bertalanffy、广义von Bertalanffy和Brody生长模型因不受数据支持而被舍弃,Richards、Logistic和Gompertz模型均受到了数据的较强支持,但没有任何一个模型的Akaike权重(ωi)大于95%,可被单独用来描述凡纳滨对虾体长与日龄的生长关系.因此应用多模型推断对这3种模型的生长参数进行加权平均处理,据此求出混养条件下凡纳滨对虾的多模型平均体长渐进值为13.741 cm(渐进体质量为32.694 g),作为描述凡纳滨对虾生长参数的稳健估计值.[中国渔业质量与标准,2024,14(4):45-53]
Estimation of the growth parameters of the Pacific white shrimp Litopenaeus vannamei in fish-shrimp polyculture pond by multi-model inference approach
Specimens of the Pacific white shrimp Litopenaeus vannamei raised in a polyculture pond of grass carp Ctenopha-ryngodon idellus were collected biweekly for five months. Six common candidate growth models including the specialized von Bertalanffy,the generalized von Bertalanffy,Brody,Gompertz,Logistic and Richards were used to fit the growth process of L. vannamei. The growth parameters of these models were estimated using maximum likelihood methods,and the model fitting was determined by the Akaike information criterion (AIC) and Bayesian Information Criterion (BIC) . The re-sults showed that body weight vs body length relationship of L. vannamei was W=00106L3.066(R2=0987),which presen-ted the positive allometric growth (b>3) by t-test. According to AIC and BIC tests,the models of the specialized von Bertalanffy,the generalized von Bertalanffy and Brody essentially were not used because of no proted data,while the mod-els of Richards,Logistic and Gompertz received strong support from the data with AIC and BIC tests. However,no one model of akaike weight exceeds 95%,and can be used separately to describe the growth relationship between the body length and culture day of L. vannamei. Therefore the model-averaged asymptotic length L-∞ of L. vannamei was estimated as a weighted average using three models. The growth parameter estimation was L-∞=13.741 cm (w-∞=32.694 g) of L. vannamei by multi-model inference approach.[Chinese Fishery Quality and Standards,2024,14(4):45-53]

Litopenaeus vannameimulti-model inferenceAkaike information criterionBayesian information criterion

杨明、徐嘉波、施永海、税春、谢永德

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上海市水产研究所,上海200433

上海市水产技术推广站,上海200433

凡纳滨对虾 多模型推断 赤池信息准则 贝叶斯信息准则

2024

中国渔业质量与标准
中国水产科学研究院

中国渔业质量与标准

影响因子:0.707
ISSN:2095-1833
年,卷(期):2024.14(4)