In this study, stock discrimination of P. hamrur has been done from the Indian coast based on morphometric traits, meristic counts and otolith shape. During the study period, 370 specimens were collected from the Indian coast. A total of 14 morphometric traits, 10 meristic counts and 6 sagittal otolith shape parameters were studied for discrimination purpose. Discriminate function analysis was used to separate the stocks from different locations using Statistica (12) software. Meristic counts were the same in all the four stocks and have no role in stock separation. Differentiation of stocks was observed based on morphometric and otolith analysis. Analysis of morphometric characters showed little mixing between Mumbai and Cochin stocks. Squared Mahalanobis distance analysis showed Kakinada and Kolkata were closest stock whereas Mumbai and Kakinada were least similar stock. Among the three methods, incremental distance analysis of otolith has been found to be most suitable for separation of stock. The present study will provide basic of stock assessment and help in the susutainable management of this resource.

中文翻译：

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基于形态，特征和耳石特征的印度水域Priacanthus hamrur（Forsskal，1775）的种群鉴定（顺序：Perciformes和科目：Priacanthidae）

在这项研究中，对P. hamrur的种群歧视已经根据形态特征，单粒数和耳石形状从印度海岸进行了研究。在研究期间，从印度海岸收集了370个标本。为了辨别目的，共研究了14个形态特征，10个积分计数和6个矢状耳石形状参数。使用Statistica（12）软件，使用判别函数分析将股票从不同位置分离出来。所有四只股票的Meristic计数相同，并且在股票分离中不起作用。基于形态分析和耳石分析观察到了种群的差异。形态特征分析表明，孟买和科钦股票之间的混合很少。平方的Mahalanobis距离分析显示，Kakinada和Kolkata是最接近的股票，而孟买和Kakinada是最不相似的股票。在这三种方法中，发现耳石的增量距离分析最适合于分离原料。本研究将提供库存评估的基础，并有助于对该资源的可持续管理。