Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)


  • M. F. Pommpelli Universidad Nacional Agraria La Molina (Perú).
  • J. M. Figueirôa
  • F. Lozano-Isla



Surinam cherry, estimate model, leaf length, leaf width.


We aimed to propose a reliable and accurate model using non-destructive measurements of leaf length (L) and/or width (W) for estimating leaf area (LA) of Surinam cherry (Eugenia uniflora L.). For model construction, 560 leaves were randomly sampled from different levels of the tree canopies and encompassed the full spectrum of measurable leaf sizes. Power models better fit E. uniflora leaf area than linear models; but, among of then, the best fit were made when product of the L and W (LW) were used. To validate these models, independent data set of 156 leaves were used. Thus, we developed a single power model (Yi = β0 xβ1) [LA = 0.685 (LW)0.989; standard errors: β0 = 0.014, β1 = 0.005; R2 a = 0.997] with high precision and accuracy, random dispersal pattern of residuals and unbiased. A simpler linear model [LA = 0.094 + (LW * 0.655); standard errors: β0 = 0.025, β 1 = 0.001; R2 a = 0.998] also described here to estimate leaf area of E. uniflora, which are as good as the first. The simplicity of the latter model may be relevant in field studies, as it does not demand high precision or expensive instruments.


Download data is not yet available.


Antunes, W.C., Pompelli, M.F., Carretero, D.M. and DaMatta, F.M. (2008). Allometric models for nondestructive leaf area estimation in coffee (Coffea arabica and Coffea canephora). Annals of Applied Biology, 153(1), 33-40.

Blanco, F.F. and Folegatti, M.V. (2005). Estimation of leaf area for greenhouse cucumber by linear measurements under salinity and grafting. Scientia Agricola, 62(4), 305-309.

Cristofori, V., Rouphael, Y., Mendoza-de Gyves, E. and Bignami, C. (2007). A simple model for estimating leaf area of hazelnut from linear measurements. Scientia Horticulturae, 113(2), 221-225.

Cumming, G., Fidler, F. and Vaux, D.L. (2007). Error bars in experimental biology. Journal of Cell Biology 177(1), 7-11. DOI: 10.1083/jcb.200611141

DataFit version 8.032. (2002). Oakdale Enginering, Oakdale, CA, USA

Demirsoy, H. (2009). Leaf area estimation in some species of fruit tree by using models as a non-destructive method. Fruits, 64(1), 45-51.

Díaz, S., Kattge, J., Cornelissen, J.H.C., Wright, I.J., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Colin Prentice, I., Garnier, E., Bönisch, G., Westoby, M., Poorter, H., Reich, P.B., Moles, A.T., Dickie, J., Gillison, A.N., Zanne, A.E., Chave, J., Joseph Wright, S., Sheremet’ev, S.N., Jactel, H., Baraloto, C., Cerabolini, B., Pierce, S., Shipley, B., Kirkup, D., Casanoves, F., Joswig, J.S., Günther, A., Falczuk, V., Rüger, N., Mahecha, M.D. and Gorné, L.D. (2016). The global spectrum of plant form and function. Nature, 529, 167-171.

Image Pro Plus version 4.5.029. (2001). Media Cybernetics Inc. Rockville, MD, USA

Keramatlou, I., Sharifani, M., Sabouri, H., Alizadeh, M. and Kamkar, B. (2015). A simple linear model for leaf area estimation in Persian walnut (Juglans regia L.). Scientia Horticulturae, 184, 36-39. https://doi. org/10.1016/j.scienta.2014.12.017

Kumar, R. (2009). Calibration and validation of regression model for non-destructive leaf area estimation of saffron (Crocus sativus L.). Scientia HorticulturaeAmsterdam 122(1), 142-145.

Liu, Z., Zhu, Y., Li, F. and Jin, G. (2017). Non-destructively predicting leaf area, leaf mass and specific leaf area based on a linear mixed-effect model for broadleaf species. Ecological Indicators, 78, 340-350.

Peksen, E. (2007). Non-destructive leaf area estimation model for faba bean (Vicia faba L.). Scientia Horticulturae-Amsterdam 113(4), 322-328.

Pompelli, M.F., Antunes, W.C., Ferreira, D.T.R.G., Cavalcante, P.P.G.S., Wanderley-Filho, H.C.L. and Endres, L. (2012). Allometric models for nondestructive leaf area estimation of the Jatropha curcas. Biomass and Bioenergy, 36, 77-85. https://doi.


Schmildt, E.R., Amaral, J.T., Santos, J.S. and Schmildt, O. (2015). Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora). Revista Ciência Agronômica, 46(4), 740-748. http://dx.doi. org/10.5935/1806-6690.20150061

Shabani, A. and Sepaskhah, A.R. (2017). Leaf area estimation by a simple and non-destructive method. Iran Agricultural Research, 36(2), 101-104. DOI: 10.22099/IAR.2017.4157

Souza, M.C. and Amaral, C.L. (2015). Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less. Brazilian Journal of Biology, 75(1), 152-156.

Steel, M. and Penny, D. (2000). Parsimony, likelihood, and the role of models in molecular phylogenetics. Molecular Biology and Evolution, 17(6), 839-850. DOI: 10.1093/oxfordjournals.molbev.a026364

Walther, B.A. and Moore, J.L. (2005). The concepts of bias, precision and accuracy, and their use in testing the performance of species richness estimators, with a literature review of estimator performance. Ecography, 28(6), 815-829.


Yadav, S.K., Mishra, Y.D. and Singh, R.K. (2007). Total leaf area estimation of Flemingia semialata Roxb. by linear regression. Agricultural Science Digest 27(1), 44-46.

Zuur, A.F., Ieno, E.N. and Elphick, C.S. (2010). A protocol for data exploration to avoid common statistical problems. Methods in Ecology and Evolution 1(1), 3-14.




How to Cite

Pommpelli, M. F., Figueirôa, J. M., & Lozano-Isla, F. (2018). Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.). Peruvian Journal of Agronomy, 2(2), 1-5.

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 10 > >>