Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less

Abstract

Leaf area estimation is an important biometrical trait for evaluating leaf development and plant growth in field and pot experiments. We developed a non-destructive model to estimate the leaf area (LA) of Vernonia ferruginea using the length (L) and width (W) leaf dimensions. ). Therefore, the linear regression "LA=0.463+0.676WL" provided the most accurate estimate of V. ferruginea leaf area. Validation of the selected model showed that the correlation between real measured leaf area and estimated leaf area was very high.Keywords: Asteraceae, cerrado, savanna, statistical model, validation. Modelo linear não-destrutivo para estimativa de área foliar de Vernonia ferruginea Less ResumoA estimativa de área foliar é um importante traço biométrico para avaliação do desenvolvimento foliar e do crescimento vegetal em experimentos de campo e casa-de-vegetação. Foi desenvolvido um modelo linear não destrutivo capaz de estimar a área foliar (AF) de Vernonia ferruginea usando o comprimento (C) e a largura (L) foliar. Diferentes combinações de equações lineares foram obtidas a partir de C, C 2 , L, L 2 , CL e C 2 L 2 . As regressões lineares usando o produto de dimensões CL foram mais eficientes para estimar a AF de V. ferruginea do que os modelos baseados em uma única dimensão (C, L, C 2 ou L 2 ). O modelo linear "AF = 0,463+0,676 CL" forneceu com maior precisão a AF de V. ferruginea em relação aos demais modelos testados. A validação do modelo selecionado revelou elevada correlação entre a área foliar real e a área foliar estimada pelo modelo.

Non-Destructive Model to Predict Commelina diffusa Leaf Area

“…The same figure shows the equation parameter "a" (0.6989) and the normal distribution of residuals (d=0.072, P=0.6636). High correlation between LW and LA and a normal distribution of regression residuals, in addition to a high coefficient of determination, are required for an accurate model (Carvalho et al, 2011a;Souza and Amaral, 2015;. Thus, the results indicate the equation LA=0.6989*LW (R 2 =0.968) significantly expressed the correlation between LW and LA.…”

“…Accurate measurements of leaf area in field experiments may be timeconsuming and generally requires the use of expensive equipment (e.g. portable leaf area meters) (Souza and Amaral, 2015;. In addition, most of the techniques used to estimate leaf area require excising leaves from plants and scanning them in the lab, interfering in physiological and phenological responses because of canopy reduction (Chabot and Hicks, 1982).…”

“…In addition, most of the techniques used to estimate leaf area require excising leaves from plants and scanning them in the lab, interfering in physiological and phenological responses because of canopy reduction (Chabot and Hicks, 1982). Thus, the excision of leaves can interfere in the results of other experiments that share the same group of plants (Souza and Amaral, 2015). Therefore, equations derived from non-destructive models, when available, represent a free and fast method that can be used in situ, providing leaf area estimates with no leaf excisions (Norman and Campbell, 1989).…”

“…The use of non-destructive models to estimate the leaf area has been used to understand the ecophysiology of many crops and weeds (Souza and Amaral, 2015;Tartaglia et al, 2016, and many others). Linear models based on length and width leaf measurements have been considered the most simple and efficient models to estimate the leaf area of some species (Demirsoy and Lang, 2010;Carvalho et al, 2011a;Giuffrida et al, 2011;Wang and Zhang, 2012;Souza and Amaral, 2015;.…”

“…Linear models based on length and width leaf measurements have been considered the most simple and efficient models to estimate the leaf area of some species (Demirsoy and Lang, 2010;Carvalho et al, 2011a;Giuffrida et al, 2011;Wang and Zhang, 2012;Souza and Amaral, 2015;. In addition, for a better practical use, researchers can choose the simple linear model (Y=a*X), considering the product of length and width as the variable "X" (Carvalho et al, 2011b, c).…”