Improved model for the non-destructive estimation of strawberry leaf area

Demirsoy, Hüsnü; Demirsoy, Leyla; Öztürk, Ahmet

doi:10.1051/fruits:2005014

Cited by 55 publications

(28 citation statements)

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“…A relação entre a área foliar e as dimensões foliares tem sido estabelecida para diversas espécies de plantas, como kiwi (Uzun & Çelik,1999), morango (Demirsoy et al, 2005) e uva (Uzun & Çelik, 1999), apresentando, esses autores, a existência de relação entre a área foliar com o produto entre o comprimento da nervura principal e largura da folha (com R² variando de 0,95 a 0,98). As cinquenta folhas de cada espécie, não utilizadas para gerar os modelos em estudo, foram utilizadas para realizar uma comparação entre a área foliar mensurada e a área foliar estimada pelo modelo escolhido neste trabalho.…”

Section: Resultsunclassified

Estimação da área foliar por método não destrutivo, utilizando medidas lineares das folhas de espécies de Passiflora

et al. 2013

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Estimation of leaf area by non-destructive method using linear measurements of leaves ofPassiflora speciesThe objective of the present study was to develop a reliable equation which enables a fast and non-destructive calculation of leaf area using linear leaf measures from different Passiflora species (P. alata, P. coccinea, P. gibertii, P. ligularis, P. misera, P. mucronata, P. nitida, P. setacea). Three hundred leaves with different sizes were collected from each species. It was performed the analysis of regression of leaf area versus lenght of the main vein, greatest leaf width and their product. Leaf area was measured with a device for automatic measurement and linear measures were determined using a ruler. The linear model chosen for all species, was the one which uses independent variables product because it presents the greatest coefficient of determination (R²) and significative coefficient of regression. The models showed adjusted coefficient of determination higher than 0.927 and optimal performance index, according to the classification of Camargo and Sentelhas. In the process of model validation, it was shown that the correlation between measured leaf area and observed leaf area was very high. The results of this study demostrate that leaf area of Passiflora species can be predicted, using the measurements of the length and width of leaves.

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Section: Resultsunclassified

Estimação da área foliar por método não destrutivo, utilizando medidas lineares das folhas de espécies de Passiflora

et al. 2013

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“…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%

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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“…(Serdar and Demirsoy, 2006), peach [Prunus persica (Batsch.) L.] (Demirsoy et al, 2004), strawberry (Fragaria × ananassa L.) (Demirsoy et al, 2005), kiwi (Actinidia deliciosa Lindl.) (Mendoza-de Gyves et al, 2007), persimmon (Diospyros kaki L. f) and hazelnut (Corylus avellana L.) (Cristofori et al, 2007).…”

Section: Resumen Comunicación Corta Validación De Un Modelo De Estimmentioning

confidence: 99%

Short communication.Validation of a leaf area estimation model for sweet cherry

Demirsoy

Lang

2010

Span. j. agric. res.

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A leaf area (LA) estimation model developed in a temperate climate for sweet cherry (Prunus avium L.) was tested for validation on 'Regina' trees on two rootstocks of varying vigor, 'Gisela 5' (Gi5) and 'Gisela 6' (Gi6), in a cool temperate climate (the Great Lakes region of North America). To determine the degree of accuracy of the model, actual LA values measured by digital planimeter were plotted against predicted LAs calculated by the model. The relationships (r2 values) were very high and varied little between rootstocks (r2 = 0.9886 for Regina/Gi6 and r2 = 0.9849 for Regina/Gi5). This study demonstrates that the model is valid for use by cherry researchers in different growing regions and for rootstocks that impart different levels of vigor scion, such as 'Regina'.

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Improved model for the non-destructive estimation of strawberry leaf area

Cited by 55 publications

References 13 publications

Estimação da área foliar por método não destrutivo, utilizando medidas lineares das folhas de espécies de Passiflora

Estimação da área foliar por método não destrutivo, utilizando medidas lineares das folhas de espécies de Passiflora

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

Short communication.Validation of a leaf area estimation model for sweet cherry

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