Leaf Area Prediction Models for Cucumber from Linear Measurements

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Abstract
Length and width measurements of leaf lamina from six fresh-market and nine pickling cucumber (Cucumis sativus L.) cultivars were used in the development of leaf area prediction models. Models using the single independent variable of length (L) were selected from regression analysis using length (L), width (W), and measured leaf areas (A) of 188 ‘Calypso’ cucumber leaves. Tests for equality of regressions (α= 0.05) indicated that a single model accurately predicted leaf area for greenhouse-grown ‘Calypso’ cucumbers (grown in a soil medium) as well as 15 field-grown cultivars. A separate prediction model was required for ‘Calypso’ cucumber plants grown in hydroponic sand culture. Inclusion of leaf width in a multiple regression model provided accurate leaf area prediction for all environments, culture systems, and cultivars tested.

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