Estimation of leaf area of Erythroxylum citrifolium from linear leaf dimensions

Authors

  • João Everthon da Silva Ribeiro Universidade Federal da Paraíba http://orcid.org/0000-0002-1937-0066
  • Ester dos Santos Coêlho Universidade Federal da Paraíba
  • Francisco Romário Andrade Figueiredo Universidade Federal da Paraíba
  • Sérgio de Faria Lopes Universidade Estadual da Paraíba
  • Manoel Bandeira de Albuquerque Universidade Federal da Paraíba

DOI:

https://doi.org/10.14393/BJ-v35n6a2019-41743

Keywords:

Biometry, Non-destructive method, Allometric equations, Erythroxylaceae.

Abstract

Erythroxylum citrifolium is a neotropical plant species recorded in all regions of Brazil. Determining leaf area is of fundamental importance to studies related to plant propagation and growth. The objective was to obtain an equation to estimate the leaf area of E. citrifolium from linear dimensions of the leaf blade (length and width). A total of 200 leaf blades were collected in Parque Estadual Mata do Pau-Ferro in the municipality of Areia, state of Paraíba, Northeast Brazil. The models evaluated were: linear, linear without intercept, quadratic, cubic, power and exponential. The best model was determined by the criteria of: high coefficient of determination (R²), low root mean square error (RMSE), low Akaike information criterion (AIC), high Willmott concordance index (d) and a BIAS index close to zero. All of the models constructed satisfactorily estimated the leaf area of E. citrifolium, with coefficients of determination above 0.9050, but the power model using the product between length and width (L*W) ŷ = 0.5966 * LW1.0181 was the best, with the highest values of R² and d, low values of RMSE and AIC, and a BIAS index closest to zero.

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Published

2019-12-02

How to Cite

RIBEIRO, J.E. da S., COÊLHO, E. dos S., FIGUEIREDO, F.R.A., LOPES, S. de F. and ALBUQUERQUE, M.B. de, 2019. Estimation of leaf area of Erythroxylum citrifolium from linear leaf dimensions. Bioscience Journal [online], vol. 35, no. 6, pp. 1923–1931. [Accessed18 December 2024]. DOI 10.14393/BJ-v35n6a2019-41743. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/41743.

Issue

Section

Biological Sciences