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Bragantia

Print version ISSN 0006-8705

Abstract

TOEBE, Marcos et al. Leaf area prediction models for jack bean by leaf dimensions. Bragantia [online]. 2012, vol.71, n.1, pp.37-41.  Epub Mar 29, 2012. ISSN 0006-8705.  https://doi.org/10.1590/S0006-87052012005000010.

The objective of this work was to model the leaf area of jack bean determined by digital photos with the length or width and/or the product length × width of the central leaflet limb of the leaf. At six periods of crop development (29, 43, 57, 73, 87 and 101 days after emergence) 745 leaves were randomly collected. Each leaf is composed by left, center and right leaflets. The length (CFC) and width (LFC) were measured and the product length by the width (CFC×LFC) of the central leaflet calculated. The leaf area (sum of the leaf area of the left, center and right leaflets) was calculated by the method of digital photos (Y). An amount of 605 leaves were used to build models of the type quadratic, potency and linear, considering Y as function of the CFC, LFC and/or CFC×LFC. For validation, 140 leaves were used. The potency model of the leaf area obtained by method of digital photos (Ŷ=3.7046x1.8747, R2=0.9757) based on the width central leaflet, is adequate to estimate the leaf area in jack bean.

Keywords : Canavalia ensiformis; digital photos; non-destructive method.

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