Leaf Area Estimate of Erythroxylum simonis Plowman by Linear Dimensions

Ribeiro, João Everthon da Silva; Barbosa, Ana Jéssica Soares; Albuquerque, Manoel Bandeira de

doi:10.1590/2179-8087.010817

Cited by 15 publications

(19 citation statements)

References 24 publications

(25 reference statements)

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“…A partir dos valores obtidos do comprimento e largura, calculou-se o produto entre esses parâmetros (C.L). Para determinação da área foliar real (AF), os limbos foram digitalizados a partir de um scanner de mesa (Canon, P-215II), e as imagens foram contrastadas e analisadas com uso do Software ImageJ ® (Ribeiro et al 2018).…”

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Estimativa da área foliar de Mesosphaerum suaveolens a partir de relações alométricas

et al. 2020

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Resumo A determinação da área foliar é de fundamental importância em estudos ecofisiológicos que buscam entender a relação planta-ambiente. Objetivou-se com esta pesquisa determinar uma equação alométrica que permita estimar a área foliar de Mesosphaerum suaveolens a partir de medidas lineares do limbo foliar (comprimento e/ou largura). Coletaram-se 900 limbos foliares aleatórios de diferentes formas e tamanhos, em uma área de Caatinga antropizada, localizada no município de Santa Luzia, estado da Paraíba, nordeste do Brasil. Para a construção das equações alométricas utilizaram-se os seguintes modelos de regressão: linear, linear sem intercepto, quadrático, cúbico, potência e exponencial. O modelo linear sem intercepto utilizando o produto entre comprimento e largura (C.L) foi o mais indicado para estimar a área foliar de M. suaveolens, com maior coeficiente de determinação (R2) e índice de concordância de Willmott (d), menor erro absoluto médio (MAE), critério de informação de Akaike (AIC) e raiz do quadrado médio do erro (RQME), e índice BIAS mais próximo de zero (R2 = 0,9971; d = 0,9989; MAE = 0,422; AIC = 2094,69; RQME = 0,770; BIAS = -0,0105). A área foliar de M. suaveolens pode ser estimada satisfatoriamente pela equação AF = 0,6787*(C.L).

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Estimativa da área foliar de Mesosphaerum suaveolens a partir de relações alométricas

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“…Aos 60 DAE, para mensuração da área foliar (cm²), coletaram-se as folhas de cada planta (repetição) e em seguida digitalizou-as através de um scanner de mesa (Canon modelo P-215II). As imagens foram processadas e analisadas pelo Software ImageJ ® , determinando a área foliar (RIBEIRO et al, 2018). A partir dos dados de área foliar, calculou-se o índice de área foliar, área foliar específica (cm 2 g -1 ), razão de área foliar (cm 2 g -1 ) e peso específico de folha (g cm -2 ), de acordo com Benincasa (2003).…”

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“…At 60 DAE, to measure the leaf area (cm²), the leaves of each plant were collected (repeat) and then digitized through a flatbed scanner (Canon model P-215II). The images were processed and analyzed by the Software ImageJ ® , determining the leaf area (RIBEIRO et al, 2018). From the leaf area data, we calculated the leaf area index, specific leaf area (cm 2 g -1 ), leaf area ratio (cm 2 g -1 ) and specific leaf weight (g cm -2 ), according to Benincasa (2003).…”

Section: Methodsmentioning

confidence: 99%

Growth and chlorophyll indices in seedlings of Calotropis procera (Aiton) W. T. Aiton submitted to different levels of shading

Figueiredo

Ribeiro

Coêlho³

et al. 2019

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Several abiotic factors may influence the growth and development of forest species. Among these, luminosity is one of the most important, because it affects plant physiological processes and control their metabolism. The objective of this study was to evaluate the effect of different shading levels under growth and chlorophyll indices on Calotropis procera plants. The experiment was conducted in a greenhouse in a completely randomized design with 5 treatments (0, 30, 50, 70 and 90% of shading), 8 replicates and one plant per plot. Growth characteristics (leaf area, leaf area index, specific leaf area, leaf area ratio and leaf specific weight) and chlorophyll a, b, total index and chlorophyll a/b ratio were evaluated. The data were submitted to analysis of variance by the F test and in the cases of significance a linear and polynomial regression analysis was performed. Shade levels in the 40% range provide higher leaf area and leaf area index in silk flower plants. The specific leaf area and the leaf area ratio are positively influenced by shading. In shaded environments silk flower plants have reduced chlorophyll indices.

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“…The product of the length and width (L.W) of each leaf was subsequently calculated. The leaf blades were then digitized by a flatbed scanner (Canon model P-215II), and the images processed with the public domain software ImageJ® to determine real leaf area (LA) (RIBEIRO et al, 2018b). Data of length (L), width (W), the product of length x width (L.W), and real leaf area (LA) of the 600 leaf blades were used to calculate the minimum, maximum and average values; the median, standard error, standard deviation, coefficient of variation, asymmetry, kurtosis and normality were evaluated by the Lilliefors test.…”

Section: Methodsmentioning

confidence: 99%

“…The use of regression models has become a very precise non-destructive method that allows the real leaf area of plants to be estimated from linear measurements of leaf blades (length and width), which are directly correlated with leaf surface area (ZHANG; PAN, 2011). Such methods have been used to estimate leaf area of both cultivated (GANESHAMURTHY et al, 2016;CARVALHO et al, 2017;OLIVEIRA et al, 2017) and forest species (ASSIS et al, 2015;KERAMATLOU et al, 2015;RIBEIRO et al, 2018b;RIBEIRO et al, 2019a;RIBEIRO et al, 2019b).…”

Section: Introductionmentioning

confidence: 99%

A NON-DESTRUCTIVE METHOD FOR ESTIMATING LEAF AREA OF Ceiba glaziovii (Kuntze) K. Schum.

Ribeiro

Figueiredo

Coêlho

et al. 2019

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The determination of leaf area is of fundamental importance in studies involving ecological and ecophysiological aspects of forest species. The objective of this research was to adjust an equation to determine the leaf area of Ceiba glaziovii as a function of linear measurements of leaves. Six hundred healthy leaf limbs were collected in different matrices, with different shapes and sizes, in the Mata do Pau-Ferro State Park, Areia, Paraíba state, Northeast Brazil. The maximum length (L), maximum width (W), product between length and width (L.W), and leaf area of the leaf limbs were calculated. The regression models used to construct equations were: linear, linear without intercept, quadratic, cubic, power and exponential. The criteria for choosing the best equation were based on the coefficient of determination (R²), Akaike information criterion (AIC), root mean square error (RMSE), Willmott concordance index (d) and BIAS index. All the proposed equations satisfactorily estimate the leaf area of C. glaziovii, due to their high determination coefficients (R² ≥ 0.851). The linear model without intercept, using the product between length and width (L.W), presented the best criteria to estimate the leaf area of the species, using the equation 0.4549*LW.

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Leaf Area Estimate of Erythroxylum simonis Plowman by Linear Dimensions

Cited by 15 publications

References 24 publications

Estimativa da área foliar de Mesosphaerum suaveolens a partir de relações alométricas

Estimativa da área foliar de Mesosphaerum suaveolens a partir de relações alométricas

Growth and chlorophyll indices in seedlings of Calotropis procera (Aiton) W. T. Aiton submitted to different levels of shading

A NON-DESTRUCTIVE METHOD FOR ESTIMATING LEAF AREA OF Ceiba glaziovii (Kuntze) K. Schum.

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