Information on allometry, condition indices (CIs), and biometric traits (BTs) of marine bivalves are necessary for determining the growth pattern and the size at which harvest can be intensified to maximize production in aquaculture. These parameters of marine bivalves are largely regulated by the complex interactive effects of various ecological and physiological factors. Therefore, the present study aimed to apply an integrated multivariate approach to explore a comprehensive knowledge about how allometry, condition indices (CIs) and BTs are interlinked with various eco-physiological factors of cultured green mussel (Perna viridis), with a particular focus on the effect of seasonality. Six selected length-weight dimensions (shell length, shell width and shell height against total weight and soft tissue weight) were proved to be positively correlated with negative allometric relation (slope<3) by regression analysis in male, female and sexually undifferentiated individuals. Linear discriminant function analysis (LDFA) displayed that CIs and BTs of green mussel were not differentiated by the sex, rather evidenced a pronounced discrimination by the seasonality and reproductive cycle. The correlation analysis demonstrated that different CIs and BTs were significantly correlated with different ecological factors, ingested plankton and gonadosomatic index (GSI) of the green mussel. Taken together all datasets, the principal component analysis (PCA) showed that seasonality and reproductive cycle explained>60 % of the variability. In both cases, PCA analysis further revealed that CIs and BTs increased with the increase of salinity, dissolved oxygen, food availability, plankton ingestion and GSI value, while they decreased with the increase of temperature, current speed and turbidity. Thus, our results clearly demonstrated that CIs and BTs of the green mussel were influenced by seasonality, ecological factors, plankton ingestion and reproductive cycle of the species. The findings of the present study represent a step toward a better comprehension of the CIs and BTs of P. viridis in relation to different eco-physiological factors and would be helpful to determine the ideal period for commercial exploitation, biodiversity conservation and future potential aquaculture of this commercially important species to a greater extent.

有关海洋双壳类动物的异速生长，状况指数（CI）和生物特征（BTs）的信息对于确定生长模式和可加强收获的规模以最大程度地提高水产养殖产量至关重要。海洋双壳类的这些参数在很大程度上受各种生态和生理因素的复杂相互作用的影响。因此，本研究旨在采用综合多元方法来探索关于异速结实，病情指数（CIs）和BTs如何与养殖青口贻贝（Perna viridis）的各种生态生理因素相互联系的综合知识。），尤其要注意季节性的影响。通过回归分析，在男性，女性和未性别区分的个体中，六个选定的长度-重量尺寸（壳体长度，壳体宽度和壳体高度相对于总重量和软组织重量）与负异形关系正相关（坡度<3）。线性判别函数分析（LDFA）显示，青贻贝的CI和BTs并未通过性别区分，而是通过季节性和繁殖周期得到了明显的区分。相关分析表明，不同的CI和BT与绿色生态贻贝的不同生态因子，摄食浮游生物和性腺机体指数（GSI）显着相关。汇总所有数据集，主成分分析（PCA）显示，季节性和生殖周期解释了> 60％的变异性。在这两种情况下，PCA分析均进一步表明，CIs和BTs随着盐度，溶解氧，食物供应量，浮游生物摄食和GSI值的增加而增加，而随着温度，电流速度和浊度的增加而降低。因此，我们的结果清楚地表明，贻贝的CI和BTs受季节，生态因素，浮游生物摄食和繁殖周期的影响。本研究的发现代表了对CI和BT更好理解的一步。食物供应量，浮游生物摄食量和GSI值，而随着温度，当前速度和浊度的增加而降低。因此，我们的结果清楚地表明，贻贝的CI和BTs受季节，生态因素，浮游生物摄食和繁殖周期的影响。本研究的发现代表了对CI和BT更好理解的一步。食物供应量，浮游生物摄食量和GSI值，而随着温度，当前速度和浊度的增加而降低。因此，我们的结果清楚地表明，贻贝的CI和BTs受季节，生态因素，浮游生物摄食和物种繁殖周期的影响。本研究的发现代表了对CI和BT更好理解的一步。绿色假单胞菌与不同的生态生理因素有关，将在更大程度上有助于确定商业开发，生物多样性保护和该商业重要物种未来潜在水产养殖的理想时期。