2010
DOI: 10.1016/j.fishres.2010.01.005
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Morphometric variation among male populations of freshwater shrimp Macrobrachium vollenhovenii Herklots, 1851 from Côte d’Ivoire Rivers

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Cited by 39 publications
(44 citation statements)
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“…For example, for comparisons of consumption patterns among prawn species, we focused solely on biomass as a measure of consumption because this is the most important factor from the predator’s perspective. Digestion is the most common limiting factor regulating consumption rates among predators, including crustaceans (Jeschke et al, 2002; Konan et al, 2010). We therefore hypothesized that over relatively long time spans (days), prawns would satiate based on the total biomass consumed, compared with the capacity of their gastrointestinal tracts, and that they would satiate more quickly when feeding on large versus small snails, making the biomass of snails a more tractable and consistent predictor of satiation than the number of snails consumed, in this specific case.…”
Section: Methodsmentioning
confidence: 99%
“…For example, for comparisons of consumption patterns among prawn species, we focused solely on biomass as a measure of consumption because this is the most important factor from the predator’s perspective. Digestion is the most common limiting factor regulating consumption rates among predators, including crustaceans (Jeschke et al, 2002; Konan et al, 2010). We therefore hypothesized that over relatively long time spans (days), prawns would satiate based on the total biomass consumed, compared with the capacity of their gastrointestinal tracts, and that they would satiate more quickly when feeding on large versus small snails, making the biomass of snails a more tractable and consistent predictor of satiation than the number of snails consumed, in this specific case.…”
Section: Methodsmentioning
confidence: 99%
“…Results from the present study showed that intra-population variation in morphometric characters were found to be low for the five geographic populations tested. This was proved by low values of coefficient of variation (CV<20%) for all measured variables and justified that a phenotypically homogeneous group was there within each population (Ferrito et al, 2007;Konan et al, 2010). Recent reports indicated that low values of CV may justify high inheritability (Mamuris et al, 1998) and consequently limited influence of environmental variation on morphological variability (Soule and Cuzin-Roudy, 1982).…”
Section: Resultsmentioning
confidence: 82%
“…Discriminant function analysis (DFA) was conducted to test the effectiveness of the characters in predicting different group locations, which clarify the relative importance of such traits as discriminators between a priori for groups, as performed by Kong et al (2007) and Konan et al (2010). A forward stepwise function analysis was carried out to reduce the number of variables (Jain et al, 2000;Poulet et al, 2004; and to identify the combinations of variables which separate groups (Hair et al, 1996).…”
Section: Methodsmentioning
confidence: 99%
“…Genetic and morphometric techniques have been widely used to identify stocks of aquatic organisms (Palmer et al, 2004;Aguirre et al, 2006;Konan et al, 2010;Marquez et al, 2010;Tlig-Zouari et al, 2010;Garcia-Rodriguez et al, 2011). Allozyme (Apte and Gardner, 2001), isozyme (Hofstra et al, 1995), simple sequence repeat (Benzie and Smith-Keune, 2006;Lind et al, 2007;Yu et al, 2008), restriction fragment length polymorphism (Itoi et al, 2011), mitochondrial DNA (Cheng et al, 2011;Iwamoto et al, 2012), and random amplification of polymorphic DNA (Kim et al, 2008) are among the genetic techniques used.…”
Section: Introductionmentioning
confidence: 99%
“…There are various morphometric approaches for detecting differences in the form of organisms (Cadrin and Friedland, 1999), e.g., landmark-based analyses (James Rohlf and Marcus, 1993;García-Rodríguez et al, 2011) and elliptic Fourier analysis (EFA) (Laurie et al, 1997;Palmer et al, 2004;Neto et al, 2006;Andrade et al, 2010;de Aranzamendi et al, 2010;Marquez et al, 2010). In addition to modern techniques, traditional methods such as principal component analysis (PCA) are still in use to analyze intraspecific morphometric variation along a geographical range (Konan et al, 2010;Tlig-Zouari et al, 2010;Hahn et al, 2011;Fouquet et al, 2012;Zapata et al, 2012).…”
Section: Introductionmentioning
confidence: 99%