Resumen

CASIERRA-POSADA, Fánor; PENA Z., Germán Ricardo  y  PENA-OLMOS, Jaime E.. INDIRECT ESTIMATION OF LEAF AREA IN Fragaria vesca L., Physalis peruviana L., Acca sellowiana (Berg.) Burret, Rubus glaucus L., Passiflora mollissima (Kunth) L. H. Bailey AND Ficus carica L.. rev.udcaactual.divulg.cient. [online]. 2008, vol.11, n.1, pp.95-102. ISSN 0123-4226.

SUMMARY Rapid, reliable and objective estimation of leaf area is essential for numerous studies in plant physiology, however, it is done usually by means of destructive methods or it depends on the availability of sophisticated and expensive electronic integrate area meters. In this research, the most reliable equation that predicts the leaf area of six fruit species growing in Boyacá, Colombia, by non-destructively linear measurements of leaf geometry was calculated. Evaluated species were strawberry, cape gooseberry, pineapple guava, blackberry, banana passion fruit and common fig. The equations were developed by measuring lamina width, length and leaf area of 500 leaves of each species, by means of a regression analysis. Then, the calculated equations were confirmed, by their application to 100 leaves, of which the leaf area had been measured. With the observed and estimated information a Pearson correlation analysis was realized. Equations which used as variable the product of the leaf length and its maximum width presented strong relationships with the observed leaf area, manifested in high determination coefficients (R² = 0,99) of the equations and low standard error of the estimated data. The Pearson correlation coefficients were between 0.95-0.99 for all species, indicating significance at 0.01. Therefore, the use of the product of leaf length by width as the variable was found to be accurate to predict the leaf area for all evaluated fruit species.

Palabras clave : Strawberry; cape gooseberry; pineapple guava; blackberry; banana passion fruit; common fig.

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