Allometric Relations in Leaves of Erythroxylum pauferrense: Endemic Species of Alto-Montana Forest in the Northeast Region, Brazil

Abstract

Studies of leaf surface are important for the ecophysiological context. We tested 12 allometric equations to estimate the leaf area of the endemic species Erythroxylum pauferrense Plowman, using different morphometric measurements (n = 600). The analysis of variance (p < 0.001), determination coefficient (R2 adj), standard error of estimates (S xy), and graphical interpretation of the dispersion of errors were used to select the models. The residual bias was estimated through the confidence interval using t-Student distribution (p = 0.01). Simple linear equations (Ŷ = 0.0244 + 0.7204 × CxL) and power functions (Ŷ = 0.7279 × CxL 0.9971) were validated from an independent sample of leaves, confirming their accuracy. The results are important to guide actions of conservation of the endemic species.

Image processing and prediction of leaf area in cereals: A comparison of artificial neural networks, an adaptive neuro‐fuzzy inference system, and regression methods

“…The conventional method of estimating geometric leaf properties, especially the leaf area, uses allometric relationships. These equations have been successfully applied to various plants, such as Gossypium herbaceum L., Fritillaria przewalskii Maxim., Erythroxylum pauferrense T. Plowman, Moringa oleifera Lam., and tree species (Barbosa, Santos, & Albuquerque, 2020;Forrester et al, 2017;Johnson, 1967;Ma, Xu, Chen, Guo, & Wu, 2020;Macário et al, 2020). In this research, we used digital image processing to measure the geometric properties of leaves in wheat and triticale.…”