Acta Scientific Biotechnology

Research Article Volume 1 Issue 1

Regression Analysis of Shell Morphology of a Few of Endemic Aquatic and Terrestrial Gastropods as a Prelude to their Conservation Strategy

Silpi Sarkar* and S Krupanidhi

Department of Biotechnology, VFSTR, Vadlamudi, India

*Corresponding Author: Silpi Sarkar, Department of Biotechnology, VFSTR, Vadlamudi, India.

Received: December 11, 2019; Published: December 27, 2019

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Abstract

  Mollusks, being the second largest assemblage among invertebrates, could be used as the efficient models in prediction of shell size and shape heterogeneity by traditional morphometric analysis. The study of aquatic and terrestrial gastropods in traditional morphometric was limited in Indian scenario. Thus in our research study, we utilize traditional morphometric as a tool in estimating the correlation coefficient and multivariate regression analysis to establish the linear relation between body weight and height and breadth of shell of each species of gastropods collected from different locations in the present study. A significant correlation was observed between these variables chosen for aquatic and terrestrial snails. The observation of body weights was found in synchrony with the predicted body weights calculated through regression analysis which determined coefficient of determination (r2) with standard error for ten snails from each family of the chosen gastropods. In our study, ANNOVA analysis was also done which showed high significant F value for the chosen samples. The output of the residuals was evaluated using the multiple regression equation y = mX1 + mX2 where X1 is the height of the shell and X2 is the breadth of the shell.

Keywords: Gastropods; Morphometry; Correlation; ANNOVA; Regression Analysis

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References

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Citation

Citation: Silpi Sarkar and S Krupanidhi. “Regression Analysis of Shell Morphology of a Few of Endemic Aquatic and Terrestrial Gastropods as a Prelude to their Conservation Strategy".Acta Scientific Agriculture 1.1 (2020): 02-07.




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