2016
DOI: 10.4172/2155-9546.1000417
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Morphometric Parameters and Allometric Growth in Paradise Threadfin Polynemus paradiseus (Linnaeus, 1758) from a Coastal River of Bangladesh

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Cited by 4 publications
(3 citation statements)
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“…On the other hand, the geometric morphometric tool is useful for quantifying a trait with evolutionary significance, by detecting changes in the outer shape and allowing a better understanding of species' evolution, and possibly ecological and behavioral traits. The combination of genetic and morphometric data has thus been used to understand the population biology and the microevolution of single species and the connectivity between estuarine faunas (Chaklader et al., 2016; Marochi et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, the geometric morphometric tool is useful for quantifying a trait with evolutionary significance, by detecting changes in the outer shape and allowing a better understanding of species' evolution, and possibly ecological and behavioral traits. The combination of genetic and morphometric data has thus been used to understand the population biology and the microevolution of single species and the connectivity between estuarine faunas (Chaklader et al., 2016; Marochi et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Both condition factor and form factor are fundamental tools that can be used to differentiate organisms that belong to the same species (Rypel and Richter, 2008;Chaklader et al, 2016;Hasan et al, 2020).…”
mentioning
confidence: 99%
“…Length-weight relationship (LWR) variable is used for the estimation of weights from lengths as in the field level study direct weight measurements of larger amount of sample is difficult and time consuming (Chaklader et al, 2018;Azad et al, 2020;Hossen et al, 2020). Moreover, length-weight relationship is important for evaluating the fish stock (Chaklader et al, 2016;Nahar et al, 2018;Saha et al, 2019). On the other hand, length-length relationship (LLR) is considered as more accurate than age and some eco-physiological factors are reported to be more length-based than the age-based (Hossain et al, 2017a).…”
mentioning
confidence: 99%