Mir Farooq Ahmad, Mir Javaid Iqbal, Chandra Suresh
Rev Biol Trop. 2014 Mar;62(1):119-27.
Schizothorax curvifrons is a morphometrically and meristically most variable and economically valuable promising fish food from Kashmir Valley. Since there is a lack of information on stock structure of wild populations on this species, this study was aimed to investigate the intraspecific variation of this important snowtrout. For this, two rivers and one lake in Kashmir Himalaya were sampled from January 2011 to October 2012. Fish body measurements were taken and morphometric characters using the truss network system was constructed. Altogether, 506 fish specimens were collected. Data were subjected to principal component analysis, discriminant function analysis and univariate analysis of variance. The first principal component explained 63.44% of total variation, while second and third components explained 8.34% and 5.31%, respectively. The step-wise discriminant function analysis retained two variables that significantly discriminated the populations. Using these variables 83.4% of the original specimens were classified into their correct groups and 81.1% of the cross-validated (leave one out procedure) specimens were classified into their correct groups. All of the total 31 transformed truss measurements exhibited highly significant (p<0.001) differences between the populations. This represents the first attempt on stock structure of S. curvifrons; therefore, this study will hopefully guide fisheries taxonomists about its current stock structure and would help in its management and conservation programme across Kashmir Himalaya area.
弯额裂腹鱼是克什米尔山谷中形态测量和可数性状变化最大且具有经济价值的有前景的食用鱼类。由于缺乏关于该物种野生种群种群结构的信息，本研究旨在调查这种重要的雪鱼的种内变异。为此，于2011年1月至2012年10月在克什米尔喜马拉雅地区的两条河流和一个湖泊进行了采样。对鱼体进行测量，并构建了使用桁架网络系统的形态测量特征。总共收集了506个鱼类标本。对数据进行主成分分析、判别函数分析和单因素方差分析。第一主成分解释了总变异的63.44%，而第二和第三主成分分别解释了8.34%和5.31%。逐步判别函数分析保留了两个能显著区分种群的变量。使用这些变量，83.4%的原始标本被正确分类到其所属组中，81.1%的交叉验证（留一法）标本被正确分类到其所属组中。所有31个转换后的桁架测量值在种群之间均表现出极显著（p<0.001）差异。这是对弯额裂腹鱼种群结构的首次尝试；因此，本研究有望为渔业分类学家提供有关其当前种群结构的指导，并有助于克什米尔喜马拉雅地区的管理和保护计划。
