Estimation of Leaf Area by Linear Dimensions in Coffea dewevrei
Omar Schmildt
Postgraduate Program in Tropical Agriculture, Federal University of Espírito Santo, São Mateus, ES, Brazil.
Enilton Nascimento de Santana
Capixaba Institute for Research, Technical Assistance and Rural Extension, Regional Center for Rural Development, Linhares, ES, Brazil.
Vinicius de Souza Oliveira *
Postgraduate Program in Tropical Agriculture, Federal University of Espírito Santo, São Mateus, ES, Brazil.
Rafael Ruy Gouvea
Capixaba Institute for Research, Technical Assistance and Rural Extension, Regional Center for Rural Development, Linhares, ES, Brazil.
Lucas Corrêa Souza
Capixaba Institute for Research, Technical Assistance and Rural Extension, Regional Center for Rural Development, Linhares, ES, Brazil.
Alba Nise Merícia Rocha Santos
Capixaba Institute for Research, Technical Assistance and Rural Extension, Regional Center for Rural Development, Linhares, ES, Brazil.
Sirlane Machado Silva
Capixaba Institute for Research, Technical Assistance and Rural Extension, Regional Center for Rural Development, Linhares, ES, Brazil.
Karina Tiemi Hassuda dos Santos
Postgraduate Program in Tropical Agriculture, Federal University of Espírito Santo, São Mateus, ES, Brazil.
Gleyce Pereira Santos
Postgraduate Program in Tropical Agriculture, Federal University of Espírito Santo, São Mateus, ES, Brazil.
Cesar Jose Fanton
Capixaba Institute for Research, Technical Assistance and Rural Extension, Regional Center for Rural Development, Linhares, ES, Brazil.
Sara Dousseau Arantes
Capixaba Institute for Research, Technical Assistance and Rural Extension, Regional Center for Rural Development, Linhares, ES, Brazil.
Edilson Romais Schmildt
Departament of Agrarian and Biological Sciences, Federal University of Espírito Santo, São Mateus, ES, Brazil.
*Author to whom correspondence should be addressed.
Abstract
The objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2.
Keywords: Coffea dewevrei, non-destructive method, mathematical models