Estimating surface area of three peach varieties using allometric relationships obtain from project area.

Fruit surface area is an important trait in studies of developmental physiology. Direct measurement of this trait is difficult, not very precise and destructive. The objective of this study was to develop models to predict the surface and projected areas of peach fruits as functions of its physical properties. To measure the project and surface areas, the image processing technique was used. 270 Peach fruits in three varieties were harvested, at two maturation stages, Regression analysis and curve fitting were used to establish relationships among fruit surface area, project area, fruit weight and size. The best relationships between surface area and project area were obtained y = 8.0461x 70.881 ( =0.9814) for mature Shalil and y= 6.036x - 38.395 ( = 0.9794) for mature Anjiri varieties. Among the mentioned cultivars, correlation of physical parameters with project area in Shalil cultivars is in the highest level. In this case correlation of dimensional parameter “a” for mature fruits and also for immature fruits is more than correlation obtained between mass and project area. While in other cultivars for both stages of mature and immature fruits, correlation of mass with project area is more than the other parameters. So according to the results, it can be nondestructively estimated the project area and surface area by measuring the mass and dimensions of fruits.