Leaf area estimation of Anacardium humile

Abstract

The Anacardium humile A. St.- Hil. fruit tree has productive potential, being their fruits appreciated in the Cerrado region for having characteristic flavor, however, this species is still exploited in an extractive way, being necessary studies for its domestication. The aim of this work was to estimate the leaf area of Anacardium humile. One hundred leaves were collected in the biological collection from a genetic resources field and evaluated for length, width and fresh weight, and scanned at resolution of 300 dpi to determine the leaf area with the aid of the ImageJ image analysis program. Subsequently, a leaf disc with a diameter of 22.27 mm was detached at the basal portion of each leaf, in which the fresh weight of the discs was obtained. Data were submitted to descriptive analysis and the relationship among the features explained by Pearson’s correlation with the software Rbio. The data were also subjected to regression analysis to explain the relationship between leaf area and measurements of width, length and leaf weight, and to fit the proper statistical model with the software Origin. It was concluded that leaf area can be determined by image analysis software and linear measurements are correlated to leaf area.

Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades

“…Thus, the present study's sample size (number of leaves = 300) is adequate for estimating the leaf area of T. populnea using linear dimensions of the leaf limbs. Other research has also recorded greater variability for the product between length and width (Gomes et al 2020), the product between length and length (Ribeiro et al 2020b), the product between width and width (Oliveira et al 2019b), and observed leaf area (Donato et al 2020). The kurtosis coefficients of the variables of the present study showed that the frequency distribution was flatter than the normal distribution (Ribeiro et al 2020a).…”

Non-destructive method for estimating chrysanthemum leaf area

“…Wide data variability is critical in regression model studies to estimate plant leaf area (LA) (Gomes et al, 2020), since the high variability of the data allows the estimation of more representative models and more accurate equations that can be applied to leaves of different shapes and sizes (Cargnelutti Filho et al, 2021). Direct collection of LA data necessitates a considerable number of leaf measurements, making it an expensive, time-consuming, destructive, and equipmentintensive endeavor.…”

Allometric models to estimate peanuts leaflets area by non-destructive method

“…Generally, linear models are the most used to estimate the leaf area of agricultural and forest species (Gomes et al 2020, Goergen et al 2021, Hernandéz-Fernandez et al 2021, Mela et al 2022). However, it is assumed that these models are used with losses in precision, which often occurs due to the high values of the intercepts (β0) of the regression line (Santos et al 2021).…”