2011
DOI: 10.4314/ejesm.v4i3.2
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Phenotypic Correlations and Body Weights Prediction Using Morphometric Traits of Snails in Calabar, Nigeria

Abstract: Data on hatchling body weights and morphometric traits (hatchling body shell length and hatchling body shell width) pertaining to two breeds of snails (A. marginata and A. achatina) from hatch to fourth (4 th ) week of age were analyzed. This was used to obtain correlation coefficient of morphometric traits and to generate prediction equations for live body weight of the animals. Strong, positive and significant correlations between hatchling body weight and body shell width (r=0.82) and between hatchling body… Show more

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Cited by 4 publications
(5 citation statements)
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“…Most morphometric traits showed a positive regression coefficient ranging from 0.13 to 14.94 for the foot length and shell thickness respectively, although none, except the foot length showed a significantvalue. The mouth length had a negative coefficient value of -18.6.This value agrees 2 with the low R value (4.7%) by Okon and Ibom (2011) for hatching weight and morphometric traits The observed positive regression coefficient values for the shell length, shell thickness, weight of shell, weight of viscera, foot length and foot thickness indicates that a unit increase in any of the morphometric traits, would bring about an expected increase of the body weight by 10.17, 14.94, 5.87, 0.13, 0.88 and 0.24 respectively. The observed negative value of b for mouth length indicates that any unit decrease in the trait will lead to a concordance decrease of the body weight by a factor, 18.60.…”
Section: Resultssupporting
confidence: 85%
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“…Most morphometric traits showed a positive regression coefficient ranging from 0.13 to 14.94 for the foot length and shell thickness respectively, although none, except the foot length showed a significantvalue. The mouth length had a negative coefficient value of -18.6.This value agrees 2 with the low R value (4.7%) by Okon and Ibom (2011) for hatching weight and morphometric traits The observed positive regression coefficient values for the shell length, shell thickness, weight of shell, weight of viscera, foot length and foot thickness indicates that a unit increase in any of the morphometric traits, would bring about an expected increase of the body weight by 10.17, 14.94, 5.87, 0.13, 0.88 and 0.24 respectively. The observed negative value of b for mouth length indicates that any unit decrease in the trait will lead to a concordance decrease of the body weight by a factor, 18.60.…”
Section: Resultssupporting
confidence: 85%
“…More so, the negative intercept value obtained, signifies that in the absence of all studied morphometric traits, the body weight will decrease by 138.39±110.36. This agrees with the fact that snail weight can be p r e d i c t e d u s i n g q u a n t i t a t i v e o r morphometric trait as predicted by Okon and Ibom (2011). T-test showed that none of the morphometric traits was significant.…”
supporting
confidence: 87%
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“…The research was carried out in the Department of Animal Science Snailery and the Analytical Laboratory of the Department, University of Calabar, Calabar, Nigeria. The location and climate of Calabar is as prescribed in Okon and Ibom (2011). One hundred (100) adult A. marginata var.…”
Section: Methodsmentioning
confidence: 99%
“…These traits include body weight, shell length, shell width, shell "mouth" length and shell "mouth" width. The authors [13], using multiple regression equations noted that shell length and shell width are better predictors of hatching body weights of A. achtinata than A. marginata juvenile snails.…”
Section: Introductionmentioning
confidence: 99%