Allometric equations to estimate the leaf area of Psychotria colorata (Willd. Ex Schult.) Müll.Arg.

Authors

DOI:

https://doi.org/10.14393/BJ-v37n0a2021-53711

Keywords:

Allometric equations, Leaf blade, Modeling, Perpétua-do-mato, Rubiaceae

Abstract

Estimating leaf area using non-destructive methods from regression equations has become a more efficient, quick, and accurate way. Thus, this study aimed to propose an equation that significantly estimates the leaf area of Psychotria colorata (Rubiaceae) through linear leaf dimensions. For this purpose, 200 leaves of different shapes were collected, and length (L), width (W), product of length by width (L.W), and real leaf area (LA) of each leaf blade were determined. Then, equations were adjusted for predicting leaf area using simple linear, linear (0.0), quadratic, cubic, power, and exponential regression models. The proposed equation was selected according to the coefficient of determination (R²), Willmott's agreement index (d), Akaike's information criterion (AIC), mean absolute error (MAE), mean squared error (RMSE) and BIAS index. It was noted that the equations adjusted using L.W met the best criteria for estimating leaf area, but the equation LA = 0.59 * L.W from linear regression without intercept was the most suitable. This equation predicts that 59% of leaf area is explained by L.W. Concluding, the leaf area of P. colorata can be estimated using an allometric equation that uses linear leaf blade dimensions.

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References

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Published

2021-12-29

How to Cite

RIBEIRO, J.E. da S., ROMÁRIO ANDRADE FIGUEIREDO, F.., DOS SANTOS COÊLHO, E.. and FERREIRA MELO, M., 2021. Allometric equations to estimate the leaf area of Psychotria colorata (Willd. Ex Schult.) Müll.Arg. Bioscience Journal [online], vol. 37, pp. e37076. [Accessed8 August 2022]. DOI 10.14393/BJ-v37n0a2021-53711. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/53711.

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Agricultural Sciences