Multivariate morphometric investigation to delineate species diversity and stock structure of mud crab Scylla sp. along the coastal regions of Bangladesh

作     者：Md Asaduzzaman Ismat Jahan Aysha Rahi Noor Md Moudud Islam Md Moshiur Rahman 

作者机构：Faculty of FisheriesChattogram Veterinary and Animal Sciences UniversityKhulshi4225Bangladesh Fisheries and Marine Resource Technology DisciplineKhulna UniversityKhulna9208Bangladesh 

出 版 物：《Aquaculture and Fisheries》 (渔业学报（英文）)

年 卷 期：2021年第6卷第1期

页      面：84-95页

学科分类：0908[农学-水产] 09[农学] 

基　　金：This study was funded by the Chittagong Veterinary and Animal Sciences University(CVASU)research budget and University Grants Commission(UGC)of Bangladesh.Supports from the masters’students and supporting staffs of the Department of Marine Bioresource Science(MBS)of CVASU are gratefully appreciated 

主　　题：Mangrove crabs Morphometric traits Species delineation Discriminant function analysis Principal component analysis Univariate ANOVA 

摘      要：Despite the importance of mud crab species(genus Scylla)in both coastal aquaculture and artisanal fisheries,knowledge of the species diversity and stock structure of mud crab population for their sustainable management across the coastal region of Bangladesh remains ***,the present study was conducted to delineate the diversity and stock structure of mud crab species based on the 24 morphometric length measurements and 27 morphometric ratios data collected from the three coastal regions(Chittagong,Cox’s Bazar and Bagerhat)of *** on the taxonomic keys,majority of the species(about 82.4%)were identified as ***,while the remaining(about 17.6%)was *** consistent to our preliminary analysis,both the univariate proportion and multivariate analysis of the collected morphometric lengths and ratios data also distinctly divided the mud crabs population into two multivariate spaces as *** and *** the further analysis of the stock structure of these two species,data were subjected to the univariate ANOVA,multivariate ANOVA,Canonical Variate Analysis(CVA),and Principal Component Analysis(PCA)according to their collection *** plots of CVA scores between CV1 and CV2 and PCA scores between PC1 and PC2 showed that the individuals of both species clearly made clusters into three multivariate spaces with minimum overlaps according to their collection *** morphometric traits Linear Discriminant Function Analysis(LDFA),the average percentage of correctly classified(PCC)into the original groups of the *** and *** was 100%.For stock discrimination,the average PCC into their original groups of collection sites were 100%and 99%for the *** and ***,***,dendrogram based on the Euclidean distances consistently separated *** and *** and stock structures similar to other multivariate *** conclusion,our study shows that *** is the dominant mud crab speci