Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves

Tsialtas, J. T.; Koundouras, Stéfanos; Zioziou, Eleftheria

doi:10.1007/s11099-008-0077-x

Cited by 44 publications

(33 citation statements)

References 31 publications

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“…Similar results were obtained by Antunes et al (2008), Tsialtas et al (2008), Mazzini et al (2010), and Padrón et al (2016), when studying respectively coffee, grapevine, citrus, and bell pepper with models presenting high R² by using the product of the leaves length times width. This can be explained due to shape differences in each leaflet, which may vary from more lanceolate to more oval.…”

Section: Resultssupporting

confidence: 80%

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

et al. 2018

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Section: Resultssupporting

confidence: 80%

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

et al. 2018

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“…ESTStatistics; SB -Shading; PS -Full sun. tanto nas folhas do ambiente sombreado quanto a pleno sol, assegurando coeficientes de determinação (R 2 ) com valores de até 0,9959 (Tabela 2). Os resultados alcançados neste trabalho estão em conformidade com as regressões mais representativas da estimativa da área foliar, as quais envolveram o produto CL (SEDAR; DEMIRSOY, 2006;PEKSEN, 2007;TSIALTAS et al, 2008;SCHMILDT et al, 2014). Não obstante, em outros trabalhos, os melhores resultados ocorreram com a maior largura do limbo foliar TOEBE et al, 2012) ou com o maior comprimento ao longo da nervura principal (POSSE et al, 2009).…”

Section: Resultsunclassified

Modelos alométricos para determinação da área foliar de cacaueiro ‘PH-16’ em sombreamento e pleno sol

Schmildt¹,

Trevisan²,

Belique³

et al. 2017

AGRO@MBIENTE ON-LINE

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Resumo: Objetivou-se com este trabalho estudar a modelagem estatística da área foliar de cacaueiro (Theobroma cacao L. 'PH-16'), em ambiente sombreado e a pleno sol. Coletaram-se aleatoriamente 200 folhas de cacaueiro (100 foram de plantas em cultivo sombreado e 100 em cultivo a pleno sol), situadas em lavouras cacaueiras no município de Linhares (ES), para estudo de suas medidas lineares. As folhas foram separadas em dois grupos, um para estimativa das equações e outro para validação dessas equações. Todas as folhas foram caracterizadas quanto ao comprimento (C), largura (L) e área foliar. A estimativa da área foliar foi feita pelos modelos linear, potência e exponencial, a partir das medidas de C, L e CL, como variáveis independentes. Na validação das equações obtidas, avaliou-se também a equação proposta por Azomaning e Lockard. Há diferença na morfologia foliar de cacau cultivado na sombra e em pleno sol, no entanto, o ambiente não afeta estatisticamente o intercepto dos modelos linear e potência, justificando a modelagem pelo uso conjunto de folhas dos dois ambientes. É possível estimar a área foliar do cacau a partir de equações alométricas, sendo mais precisas as equações que usam como variável explicativa o produto CL. A equação com modelo potência AFE = 0,6736 (CL) 1,0036 é a mais indicada para estimar a área foliar de cacau 'PH-16', podendo ser usada tanto para folhas de plantas em ambiente sombreado quanto a pleno sol.Palavras-chave: Determinação não destrutiva. Ecofisiologia. Sistema de cultivo. Theobroma cacao L. Abstract:The aim of this work was to study the statistical modelling of leaf area in the cocoa tree (Theobroma cacao L. 'PH -16'), in a shaded environment and in full sun. Two hundred leaves (100 from plants grown in the shade and 100 grown in full sun) were randomly collected from cacao plants in plantations in the city of Linhares in the State of Espírito Santo, Brazil, to study their linear measurements. The leaves were separated into two groups, one to estimate the equations and the other to validate the equations. All leaves were characterised for length (C), width (L) and leaf area. Leaf area was estimated by linear, power and exponential models from the measurements of C, L and CL as independent variables. When validating the equations, the equation proposed by Azomaning and Lockard was also evaluated. There is a difference in leaf morphology between cocoa grown in the shade and in full sun, however the environment does not statistically affect the intercept in the linear and power models, justifying modelling from the joint use of leaves of the two environments. It is possible to estimate leaf area in the cocoa plant from allometric equations, with the equations that use the product of CL as the explanatory variable being more precise. The power model equation AFE = 0.6736 (LW)1.0036 is best suited for estimating leaf area in 'PH-16' cocoa, and can be used both for the leaves of plants in shaded environments and in full sun.

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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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Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves

Cited by 44 publications

References 31 publications

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

Modelos alométricos para determinação da área foliar de cacaueiro ‘PH-16’ em sombreamento e pleno sol

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

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