1995
DOI: 10.1016/0165-7836(94)00334-s
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Comparison of the change in morphological pattern during the growth in length of the grey mullets Liza ramada and Liza saliens from western Greece

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Cited by 23 publications
(28 citation statements)
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“…Also, the results of morphological measurements on the L. saliens and L. ramada, obtained by Minos et al (1994Minos et al ( , 1995 supported these findings. The results of this study based on 34 morphometric character indices and 9 meristic counts are consistent with these findings as most of the morphometric character indices showed significant differences between M. cephalus and L. ramada, while most of the meristic counts showed insignificant differences between M. cephalus and L. ramada.…”
Section: Discussionsupporting
confidence: 78%
“…Also, the results of morphological measurements on the L. saliens and L. ramada, obtained by Minos et al (1994Minos et al ( , 1995 supported these findings. The results of this study based on 34 morphometric character indices and 9 meristic counts are consistent with these findings as most of the morphometric character indices showed significant differences between M. cephalus and L. ramada, while most of the meristic counts showed insignificant differences between M. cephalus and L. ramada.…”
Section: Discussionsupporting
confidence: 78%
“…All the above authors when studying the relationship of carapace length (CL) vs total length (TL) considered the growth of TL directly proportional (isometric growth) to the growth of CL using the linear model TL = a + (b CL ) in which b is considered at a constant rate of increase. However, Minos et al (1995) and Tidu et al (2004) applied the exponential equation Y= ax b when b=1 to explain the relationship of CL vs TL as they believed that in nature the constant rate of increase of any morphometric character is a specific feature of the differential increase in these two body dimensions. There are no management regulations governing the harvest of spiny lobsters in India, except for the minimum legal size restrictions for export (Radhakrishnan and Manisseri, 2003).…”
Section: Introductionmentioning
confidence: 99%
“…14 morphometric features were measured for biometric study by following the method of McKay (1985). , where 'a' and 'b' are constants and Y is the morphometric variable (Minos et al, 1995). Data were log (10) transformed and least-square regression analysis was applied to calculate the parameters of the allometric equation of each variable versus SL.…”
Section: Methodsmentioning
confidence: 99%
“…The morphometric variables were then divided into three categories: positive allometry (+A), when the slope (b) was significantly higher than 1 and the variable increased relatively to SL; negative allometry (-A), when the slope was significantly lower than 1 and the variable decreased relative to SL; and isometry (I) when the slope showed a non significant difference from 1, indicating direct proportionality between the variable and SL. The analysis for the normal distribution features was carried out based on Pearson linear correlation coefficient (Minos et al, 1995).…”
Section: Methodsmentioning
confidence: 99%