Nondestructive Methods to Estimate Leaf Area in Vitis vinifera L.
By F. Montero, J. A. Juan, A. Cuesta, A. Brasa. 2000
107 citations recorded by the source corpus.
The importance of rapid, nondestructive, and accurate measurements of leaf area (LA) in agronomic and physiological studies is well known, but a search of the literature revealed little information available for grape (Vitis vinifera L.). The results described herein include a comparison of 12 different mathematical models for estimating leaf area in 'Cencibel'. The simplest, most accurate regression equations were: LA 1 =0.587 LW (R 2 = 0.987) and LA 1 =0.588 LW (R 2 = 0.994), where LA, is leaf area measured using image analysis and LW is leaf length x maximum width. Use of maximum width (W), leaf length (L), petiole length (L p ), and dry weight of leaves (DML) as single variables in the regression equations were not as closely associated with total leaf area, although their R 2 values were also highly significant.
Subfields: Ecology, Plant Science
View Paper: https://www.semanticscholar.org/paper/01cff45512251e8c0e030b3c2785bc079960d932
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Citations in the corpus
- Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves (2008, background): “For all the models, highly significant linear functions were found between calculated and measured LA. Based on r2 and the mean square deviation (MSD), the model proposed for LA estimation in cv. Cencibel [LA = 0.587(L×W)] was the most appropriate.”
- Nondestructive leaf area estimation of ‘Niagara’ and ‘DeChaunac’ grapevines (2003, background): “In another study using V. vinifera, Montero et al. (2000) reported that linear (area ¼ 0:587WL, R2 ¼ 0:987) and power (area ¼ 0:647L1:956, R2 ¼ 0:968) models provided best estimates of ‘Cencibel’ leaf area.”
- Leaf area estimation of sunflower leaves from simple linear measurements (2007, background): “Values of 0.69 have been reported for pepper (De Swart et al. 2004), 0.63 for zucchini (Rouphael et al. 2006), 0.59 for Vitis vinifera L. (Montero et al. 2000), 0.62 for soybean (Wiersma and Bailey 1975), and 0.73 for corn (McKee 1964).”
- A Simple, Cost-Effective Method for Leaf Area Estimation (2011, background): “[14]; Williams and Martinson [15]), avocado (Uzun and Celik [16]), pistachio (Ranjbar and Damme [17]), Cherry (H.”
- Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement (2010, background): “Various combinations of measurements and various models relating length and width to area have been developed for several fruit trees (Montero et al. 2000, Demirsoy et al. 2004, Serdar and Demirsoy 2006, Cristofori et al. 2007, Mendoza-de Gyves et al. 2007, Tsialtas et al. 2008) and vegetable crops…”