Leaf Area Estimation of Garden Boldo From Linear Dimensions

Ribeiro, Ana Maria Alves de Souza and Mundim, Daniel Alves and Mendonça, Daisy Cristina Martins and Santos, Karina Tiemi Hassuda dos and Santos, Jéssica Sayuri Hassuda and Oliveira, Vinicius de Souza and Santos, Gleyce Pereira and Rosa, Luã Víthor Chíxaro Almeida Falcão and Santana, Weslley do Rosário and Schmildt, Omar and Vitória, Edney Leandro da and Schmildt, Edilson Romais (2019) Leaf Area Estimation of Garden Boldo From Linear Dimensions. Journal of Agricultural Science, 11 (5). p. 461. ISSN 1916-9752

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Abstract

The objective of this work was to determine a mathematical equation using linear measures that allows estimating a leaf area of the specie Plectranthus barbatus Andrews, a plant with medicinal properties popularly known as garden boldo. For this was performed a direct measurement of the leaf blade considering the length (L) along the midrib and the maximum width (W) perpendicular to the midrib of 500 leaves of different specimens and the observed foliar area (OLA), which were obtained by digitized images. A regression study with linear, quadratic, potential and exponential models was performed using a random sample of 400 from the evaluated leaves using OLA as a function of L, W or LW and then obtaining the estimated leaf area (ELA) of each model. From the remaining 100 leaves a validation of the tested models was performed using ELA as a function of OLA in a simple linear regression. From the residues between ELA and OLA the root-square-mean error and Willmot index (d) was obtained and the normality was verified. The parameters used for validation were: statistically linear and angular coefficient equal to zero and one respectively; coefficient of determination closest to the unit; RQME closer to zero; d index closest to the unit; normal distribution of residues. The equation that best represents the estimated leaf area of the garden boldo is ELA = 0.1389 + 0.6779 (LW).

Item Type: Article
Subjects: Librbary Digital > Agricultural and Food Science
Depositing User: Unnamed user with email support@librbarydigit.com
Date Deposited: 11 May 2023 08:02
Last Modified: 06 Sep 2024 09:16
URI: http://info.openarchivelibrary.com/id/eprint/633

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