Statistical Modeling of Pomegranate (Punica granatum L.) Fruit with Some Physical Attributes
- *Corresponding Author:
- Dr. Yaser Siah Mansouri
Department of Agrotechnology
College of Abuoreihan
University of Tehran
E-mail: [email protected] ut.ac.ir
Received Date: October 14, 2010; Accepted Date: November 22, 2010; Published Date: December 24, 2010
Citation: Mansouri YS, Khazaei J, Hassan Beygi SR, Mohtasebi SS (2010) Statistical Modeling of Pomegranate (Punica granatum L.) Fruit with Some Physical Attributes. J Food Process Technol 1:102. doi: 10.4172/2157-7110.1000102
Copyright: © 2010 Mansouri YS, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
In this study mass and surface area of pomegranate fruit were predicted with using different physical characteristics in linear models classified as follows: (1) Single or multiple variable regressions of pomegranate dimensional characteristics, (2) Single or multiple variable regressions of pomegranate projected areas, (3) Single regression of pomegranate mass based on measured (actual) volume and volumes of shapes assumed (oblate spheroid and ellipsoid). The results showed that in the first classification of single variable mass modeling of pomegranate based on dimension, the highest determining coefficient was obtained as R2=0.95 based on geometric mean diameter M = - 528 + 10.7 Dg while that was as R2=0.96 for multiple variable models. Also, there was a very good relationship between mass and measured volume of pomegranates for the two varieties with R2 as 0.97 (highest R2 value among all the models). At least, the models which predict mass of pomegranates based on estimated volume, the shape of pomegranates considered as spheroid and elliptical were found to be the most appropriate models.