Introduction. Leaf area is often related to plant growth, development,
physiology and yield. Many non-destructive models have been proposed for leaf area
estimation of several plant genotypes, demonstrating that leaf length, leaf width and leaf
area are closely correlated. Thus, the objective of our study was to develop a reliable
model for leaf area estimation from linear measurements of leaf dimensions for citrus
genotypes. Materials and methods. Leaves of citrus genotypes were harvested,
and their dimensions (length, width and area) were measured. Values of leaf area were
regressed 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 variables
length, width and the square of length gave better results in second-order polynomial
equations, while the linear equations were more suitable and accurate when the width and
the product (length × width) were used. When these equations were regressed with the new
data set, the coefficient of determination (R2) and the
agreement 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) can
provide a reliable and simple non-destructive model for leaf area estimation across citrus
genotypes.