Introduction. Leaf area is often related to plant growth, development,physiology and yield. Many non-destructive models have been proposed for leaf areaestimation of several plant genotypes, demonstrating that leaf length, leaf width and leafarea are closely correlated. Thus, the objective of our study was to develop a reliablemodel for leaf area estimation from linear measurements of leaf dimensions for citrusgenotypes. Materials and methods. Leaves of citrus genotypes were harvested,and their dimensions (length, width and area) were measured. Values of leaf area wereregressed against length, width, the square of length, the square of width and the product(length × width). The most accurate equations, either linear or second-order polynomial,were regressed again with a new data set; then the most reliable equation was defined.Results and discussion. The first analysis showed that the variableslength, width and the square of length gave better results in second-order polynomialequations, while the linear equations were more suitable and accurate when the width andthe product (length × width) were used. When these equations were regressed with the newdata set, the coefficient of determination (R2 ) and theagreement index ‘d’ were higher for the one that used the variable product(length × width), while the Mean Absolute Percentage Error was lower.Conclusion. The product of the simple leaf dimensions (length × width) canprovide a reliable and simple non-destructive model for leaf area estimation across citrusgenotypes.