Author(s): Araneta Bryan Yves G

Abstract: A technique on estimating the edible wet tissue weight of Polymesoda erosa was established using Multiple Regression Analysis of five morphometric measurements namely, 1. Shell Length (SL), 2. Shell Width (SW), 3. Shell Height (SH), 4. Shell Volume (SV), and 5. Live Weight (LW). Multiple Regression Analysis was not directly used to test for the best estimator because of the high correlation between the 5 independent variables. Instead, it was performed to create an estimation formula that took into consideration all the contributions of the independent variables to the estimation of the Edible Wet Tissue Weight. One-Way ANOVA at 0.05 level of significance showed that there is a significant difference in terms of the contribution of the 5 estimator variables. B-values point to Shell Width and Shell Volume to have a significant contribution to the estimation formula. The Edible Wet Tissue Weight of P. erosa can be estimated as follows: Estimated Wet Tissue Weight= -10.689 (constant) + (0.109 x SL) + (0.122 x SW) + (0.026 x SH) + (0.008 x LW) + (0.045 x SV). This estimation method can be used by fisheries technicians without the need to sacrifice the organisms in experiments or monitoring applications.

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