A simple model for estimating leaf area of hazelnut from linear measurements

By V. Cristofori, Youssef Rouphael, E. M. Gyves, C. Bignami. 2007

145 citations recorded by the source corpus.

Abstract Simple, accurate and non-destructive models determining leaf area of plants are important for many experimental comparisons. Determining the individual leaf area (LA) of hazelnut ( Corylus avellana L.) involves measurements of leaf parameters, such as length ( L ) and width ( W ), or some combinations of these parameters. Two-year investigation was carried out during 2005 (on 20 genotypes) and 2006 (on one cultivar) under open field conditions, respectively, to test whether a model could be developed to estimate leaf area across genotypes and environments. Regression analyses of LA versus L and W revealed several models that could be used for estimating the area of individual hazelnut leaves. A linear model having LW as the independent variable (LA = 2.59 + 0.74 LW ) provided the most accurate estimate ( R 2  = 0.982, MSE = 29) of hazelnut LA. Validation of the model having LW of leaves measured in the 2006 experiment coming from other genotype grown under different environmental conditions showed that the correlation between calculated and measured areas was very high.

Subfields: Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/f93804c12b15bd9c3c6f1e768105e5c841ed0952

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In Ecology

1. E. M. Gyves
2. A. Mouneimné
3. G. Colla
4. C. M. Rivera
5. Youssef Rouphael
6. A. Ismail

In Plant Science

1. G. Colla
2. Youssef Rouphael
3. E. M. Gyves
4. A. Mouneimné
5. C. M. Rivera
6. A. Akyüz
7. A. Ismail
8. S. Boyacı

Citations in the corpus

• Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves (2008, methodology): “Till now, non-destructive models for LA prediction have been developed for many shrub and tree species such as banana (Potdar and Pawar 1991), cherry (Demirsoy and Demirsoy 2003), chestnut (Serdar and Demirsoy 2006), cocoa (Asomaning and Lockard 1963), hazelnut (Cristofori et al. 2007), kiwi (Mendoz”
• A Simple, Cost-Effective Method for Leaf Area Estimation (2011, unknown): “[35]), eggplant (Rivera et al.”
• Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement (2010, background): “…zucchini squash (Rouphael et al. 2006), 0.68 for sunflower (Rouphael et al. 2007), 0.69 for persimmon (Cristofori et al. 2008), 0.74 for hazelnut (Cristofori et al. 2007), 0.59 for Vitis vinifera L. (Montero et al. 2000), 0.70 for Euphorbia × lomi Rauh (Fascella et al. 2009) and 0.63 for…”
• A modeling study with an artificial neural network: developing estimationmodels for the tomato plant leaf area (2016, methodology): “Other studies on the development of leaf area prediction models also reported similar results (Demirsoy and Demirsoy, 2003; Serdar and Demirsoy, 2006; Cho et al., 2007; Cristofori et al., 2007; Peksen, 2007; Kumar, 2009; Celik et al., 2011).”