Leaf area estimation from linear measurements in zucchini plants of different ages

Rouphael, Youssef; Rivera, C. M.; Cardarelli, Mariateresa; Fanasca, S.; Colla, G.

doi:10.1080/14620316.2006.11512056

Cited by 48 publications

(53 citation statements)

References 2 publications

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“…Linear and second-order polynomial regression equations, with their correspondent R 2 , for the dependent variable leaf area and the independent variables length, width, the square of length, the square of width and the product of (length × width) for single leaves of citrus genotypes (p < 0.0001). (table II), as found on linear models for zucchini plants [17]. However, the utilization of the variable (L × W) is more laborious due to double sampling of dimensions.…”

Section: Resultsmentioning

confidence: 92%

“…Many non-destructive models have been recommended for estimating individual leaf area from simple measurements for several tree species [4,5,7,[8][9][10][11][12][13][14][15], vegetables [2,[16][17][18], ornamentals [19][20][21] and other important crops [22], but a leaf area estimation model for citrus genotypes has not been found. The reported models have shown that there are close relationships among leaf width, leaf length and leaf area [4].…”

Section: Introductionmentioning

confidence: 99%

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A simple and non-destructive model for individual leaf area estimation in citrus

Mazzini¹,

Ribeiro²,

Pio³

2010

Fruits

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-Introduction. Leaf area is often related to plant growth, development, physiology and yield. Many non-destructive models have been proposed for leaf area estimation of several plant genotypes, demonstrating that leaf length, leaf width and leaf area are closely correlated. Thus, the objective of our study was to develop a reliable model for leaf area estimation from linear measurements of leaf dimensions for citrus genotypes. Materials and methods. Leaves of citrus genotypes were harvested, and their dimensions (length, width and area) were measured. Values of leaf area were regressed against length, width, the square of length, the square of width and the product (length × width). The most accurate equations, either linear or secondorder polynomial, were regressed again with a new data set; then the most reliable equation was defined. Results and discussion. The first analysis showed that the variables length, width and the square of length gave better results in second-order polynomial equations, while the linear equations were more suitable and accurate when the width and the product (length × width) were used. When these equations were regressed with the new data set, the coefficient of determination (R 2 ) and the agreement index 'd' were higher for the one that used the variable product (length × width), while the Mean Absolute Percentage Error was lower. Conclusion. The product of the simple leaf dimensions (length × width) can provide a reliable and simple non-destructive model for leaf area estimation across citrus genotypes. Résumé -Introduction. La surface foliaire est souvent liée à la croissance, le développement, la physiologie et le rendement des plantes. Beaucoup de modèles non destructifs ont été proposés pour estimer la surface foliaire de plusieurs génotypes végétaux ; ils ont montré que la longueur et la largeur des feuilles, de même que la surface foliaire, étaient étroitement corrélées. L'objectif de notre étude a donc été de développer un modèle fiable pour estimer la surface foliaire à partir de mesures linéaires des dimensions de feuilles pour les génotypes d'agrumes. Matériel et méthodes. Les feuilles de certains génotypes d'agrumes ont été récoltées et leurs dimensions (longueur, largeur et surface) ont été mesurées. La surface foliaire a été corrélée à la longueur, la largeur, le carré de la longueur, le carré de la largeur et le produit (longueur × largeur). Les équations les plus précises, qu'elles soient linéaires ou polynomiales de second ordre, ont été testées à nouveau avec un nouvel ensemble de données, puis l'équation la plus fiable a été définie. Résultats et discussion. La première analyse a montré que les variables longueur, largeur et carré de la longueur donnaient de meilleurs résultats dans les équations polynomiales de second ordre, tandis que les équations linéaires étaient plus appropriées et précises lorsque la largeur et le produit (longueur × largeur) étaient utilisés. Lorsque ces équations ont été utilisées avec le nouvel ensemble de données, le coeffici...

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Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

A simple and non-destructive model for individual leaf area estimation in citrus

Mazzini¹,

Ribeiro²,

Pio³

2010

Fruits

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“…These models can be validated and applied in field measurements, at different stages of development and plant growth, in a nondestructive way, with low cost and high precision. Mathematical models for leaf area estimation have been developed in different crops, as cotton (Monteiro et al 2005), zucchini (Rouphael et al 2006), eggplant (Rivera et al 2007), hazelnut ), kiwi (Mendoza-de Gyves et al 2007), orange (Godoy et al 2007), banana (Zucoloto et al 2008), coffee (Antunes et al 2008), small fruits (Fallovo et al 2008), sunflower (Maldaner et al 2009), potato (Busato et al 2010), crambe (Toebe et al 2010), rose (Rouphael et al 2010), Crotalaria juncea (Cardozo et al 2011), turnip , jatropha (Pompelli et al 2012), gladiolus (Schawb et al 2014, canola (Cargnelutti Filho et al 2015a) and pigeonpea (Cargnelutti Filho et al 2015b). …”

Section: Introductionmentioning

confidence: 99%

Leaf area estimation from linear measurements in different ages of Crotalaria juncea plants

Carvalho

Toebe

Tartaglia

et al. 2017

An. Acad. Bras. Ciênc.

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The goal of this study was to estimate the leaf area of Crotalaria juncea according to the linear dimensions of leaves from different ages. Two experiments were conducted with C. juncea cultivar IAC-KR1, in the 2014/2015 sowing seasons. At 59, 82, 102, 129 days after sowing (DAS) of the first and 61, 80, 92, 104 DAS of the second experiment, 500 leaves were collected, totaling 4,000 leaves. In each leaf, the linear dimensions were measured (length, width, length/width ratio and length × width product) and the specific leaf area was determined through Digimizer and Sigma Scan Pro software, after scanning images. Then, 3,200 leaves were randomly separated to generate mathematical models of leaf area (Y) in function of linear dimension (x), and 800 leaves for the models validation. In C. juncea, the leaf areas determined by Digimizer and Sigma Scan Pro software are identical. The estimation models of leaf area as a function of length × width product showed superior adjustments to those obtained based on the evaluation of only one linear dimension. The linear model Ŷ=0.7390x (R 2 =0.9849) of the real leaf area (Y) as a function of length × width product (x) is adequate to estimate the C. juncea leaf area.

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“…Several researchers have validated LA prediction , 2008), persimmon (Diospyros kaki L.f.; Cristofori et al, 2008), hazelnut (Corylus avellana L.; Cristofori et al, 2007), small fruits , zucchini squash (Cucurbita pepo L.; Rouphael et al, 2006), sunflower (Helianthus annuus L.; Rouphael et al, 2007), and eggplant (Solanum melongena L.; Rivera et al, 2007). Our results indicated that the proposed model could predict rose LA accurately independently from species (R. hybrida and R. sempervirens) and growing conditions (ambient light level vs. 50% shade).…”

Section: Validation Of the Leaf Area Prediction Modelmentioning

confidence: 99%

“…Various models relating leaf length and width to area have been developed for fruit trees (Demirsoy et al, 2004;Serdar and Demirsoy, 2006;Cristofori et al, 2007;Mendoza-de Gyves et al, 2007;Fallovo et al, 2008) and vegetable crops (Schwarz and Kläring, 2001;De Swart et al, 2004;Salerno et al, 2005;Rouphael et al, 2006;Rivera et al, 2007;Kumar, 2009;Rouphael et al, 2010b), whereas the estimation of LA of ornamental plants by using mathematical relationships between LA and one or more dimensions of the leaf has received very little attention (Fascella et al, 2009;Rouphael et al, 2010c;Giuffrida et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Validation of a leaf area prediction model proposed for rose

Fascella¹,

Darwich

Rouphael

2013

Chilean J. Agric. Res.

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Leaf area (LA) is a valuable key for evaluating plant growth, therefore accurate, simple, and nondestructive methods for LA determination are important for physiological and agronomic studies. A LA prediction model based on leaf length (L) and width (W) and developed under greenhouse on 14 cultivars of rose (Rosa hybr.*) was validated on a different cultivar of R. hybrida 'Red France' and on a wild rose species (Rosa sempervirens L.) grown under open-field conditions with two light environments: ambient and 50% shade. Comparisons between measured vs. calculated LA using the following model: LA (cm 2 ) = 0.56 + 0.717 LW, showed a high degree of correlation (R 2 > 0.95) and provided quantitative evidence of the validity of the LA prediction model. Calculated LA values were very close to the measured values, giving an underestimation of 3.5%, 4.2%, 1.1%, and an overestimation of 1.3% in the prediction for R. hybrida ambient light, R. hybrida 50% shade, R. sempervirens ambient light, R. sempervirens 50% shade, respectively. This model can provide accurate estimations of rose LA independently of the genetic materials and the growing conditions and can be adopted in many experimental comparisons without the use of any expensive instruments.

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Leaf area estimation from linear measurements in zucchini plants of different ages

Cited by 48 publications

References 2 publications

A simple and non-destructive model for individual leaf area estimation in citrus

A simple and non-destructive model for individual leaf area estimation in citrus

Leaf area estimation from linear measurements in different ages of Crotalaria juncea plants

Validation of a leaf area prediction model proposed for rose

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