A simple and accurate equation for estimating individual leaf area of eggplant from linear measurements

By C. M. Rivera, Youssef Rouphael, M. Cardarelli, G. Colla. European Journal of Horticultural Science, 2007

56 citations recorded by the source corpus.

Simple, accurate and non-destructive equations determining leaf area of plants are important for many experimental comparisons. Determining the individual leaf area (LA) of eggplant ( Solanum melongena L.) involves measurements of leaf parameters [length (L) and width (W)]. Two year investigation were carried out during 2005 (on five cultivars) and 2006 (on one cultivar) under open field and greenhouse conditions, respectively to test whether a equation could be developed to estimate leaf area across cultivars. Regression analyses of LA versus L and W revealed several equations that could be used for estimating the area of individual eggplant leaves. A linear equation having LW as the independent variable provided the most accurate estimate (R 2 =0.97, MSE=89) of eggplant LA, but double the time required for leaf measurement. The quadratic equation (LA=0.763 L+0.340 L) exhibited a high accuracy and precision (R 2 =0.92, MSE=220) in estimating individual eggplant LA. We preferred this equation because of its simplicity and convenience, as it only involves one variable. Validation of the quadratic equation having L of leaves measured in the 2006 experiment under greenhouse conditions showed that the correlation between calculated and measured areas was very high.

Subfields: Food Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/79829b4616ffbce559e7cbce48f96e0661d5d120

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Citations in the corpus

Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement (2010, background): “…with previous studies (Tsialtas and Maslaris 2005, Rouphael et al. 2006, Cristofori et al. 2007, Mendoza-de Gyves et al. 2007, Peksen 2007, Rivera et al. 2007, Rouphael et al. 2007, Antunes et al. 2008, Fallovo et al. 2008, Tsialtas et al. 2008, Kandiannan et al. 2009, Kumar 2009,…”
A modeling study with an artificial neural network: developing estimationmodels for the tomato plant leaf area (2016, unknown): “…and Pharr, 1987; Uzun and Çelik, 1999; Blanco and Folegatti, 2005; Cho et al., 2007), pepper (Uzun and Çelik, 1999), eggplant (Uzun and Çelik, 1999; Rivera et al., 2007), watermelon (Rajendran and Thamburaj, 1987), avocado (Uzun and Çelik, 1999), red current (Uzun and Çelik, 1999), kiwifruit (Uzun…”