Stock Identification of Short Mackerel (Rastrelliger brachysoma) in the Upper and Middle Gulf of Thailand by Morphological Characters

Q3 Agricultural and Biological Sciences
K. Viboonkit, W. Boonmee, Chayanin Thotsagotphairee, P. Tavitchasri, Thiamphop Kanloung
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Abstract

Rastrelliger brachysoma, a short mackerel, is a significant pelagic fish that is common in the fisheries in the Gulf of Thailand. The management of fish stocks is a prerequisite for fish conservation strategies and profitable fisheries. Morphological character differences between stocks of species provide a method for identifying fish stocks. This study was aimed to identify stock population of short mackerel in the Upper and Middle Gulf of Thailand. The fish specimens were collected from four different locations: Chonburi and Prachuap Khiri Khan (central provinces of Thailand), Chumphon and Surat Thani (southern provinces of Thailand). Twelve morphometric characters of fish were assessed to determine the stock populations by stepwise discriminant analysis. The results showed that 12 morphometric characters were significantly different among the four populations. In the discriminant function analysis, the first function explained 61.30% of total variations, whereas the 2nd and 3rd functions were 26.50% and 12.20%, respectively. The characters included total length, standard length, folk length, head length, post – orbital length, pre – dorsal length, pre – pelvic length, 1st dorsal to 2nd dorsal length, pelvic to anal length, pre – anal length, head depth, and greatest depth, all of which can be used to differentiate these populations. According to the results of the discriminant analysis, the populations of short mackerel were predicted and subsequently classified with an accuracy rate of 54.88%.
泰国湾中上游短鲭鱼种群的形态特征鉴定
短鲭鱼,一种短鲭鱼,是泰国湾渔业中常见的一种重要的远洋鱼类。鱼类资源的管理是鱼类养护战略和盈利渔业的先决条件。物种间种群形态特征的差异为鱼类种群的识别提供了一种方法。本研究旨在确定泰国中上湾短鲭鱼种群。鱼类标本采集于4个不同地点:春武里和Prachuap Khiri Khan(泰国中部省份),春蓬和素叻他尼(泰国南部省份)。采用逐步判别分析法对鱼类的12个形态特征进行了评价,确定了种群数量。结果表明,4个居群间有12个形态计量性状存在显著差异。在判别函数分析中,第一个函数解释了总变异的61.30%,而第二个和第三个函数分别解释了26.50%和12.20%。总体长、标准体长、种群体长、头长、眶后体长、背前体长、骨盆前体长、第一背至第二背体长、骨盆至肛门体长、肛门前体长、头深、最大体深等特征均可用于种群的区分。根据判别分析结果,对短鲭鱼种群进行预测和分类,准确率为54.88%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current Applied Science and Technology
Current Applied Science and Technology Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
1.50
自引率
0.00%
发文量
51
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