Estimativa da área foliar de pessegueiro por método não-destrutivo

Sachet, Marcos Robson; Penso, Gener Augusto; Pertille, Rafael Henrique; Guerrezi, Marieli Teresinha; Citadin, Idémir

doi:10.1590/0103-8478cr20140185

Cited by 9 publications

(7 citation statements)

References 7 publications

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“…In fig tree 'Roxo de Valinhos', determination coefficients above 0.6991 were obtained when determining various mathematical models using linear measurements (Souza et al, 2014). In guava (Psidium guajava) and peach (Prunus persica) leaves, high R 2 values were also observed in the models tested (≥ 0.672 and ≥ 0.7225, respectively), showing that linear measurements can provide highly accurate equations to determine real area rapidly and with low cost (Sachet et al, 2015;Silva et al, 2015). Based on the interpretation criterion of model performance using the statistical indicators proposed by Camargo and Sentelhas (1997) (Table 1), we observed distinct confidence indices among the different morphologies of passion fruit leaves.…”

Section: Resultsmentioning

confidence: 92%

“…A number of methods have been developed to estimate leaf area such as direct or destructive methods, comprising the removal of the leaves, and indirect or nondestructive methods, using mathematical models and leaf linear measurements, which facilitates the work in the field (Sachet et al, 2015;Schwab et al, 2014;Tartaglia et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Equational models for determining leaf area have been widely used in fruit crops, standing out the models for peach, banana, fig, guava, olive, citrus and strawberry (Sachet et al, 2015;Silva et al, 2015;Souza et al, 2014;Spann et al, 2010;Zuculoto et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Non-destructive estimation of leaf area in passion fruit (Passiflora edulis L.)

Souto¹,

Cordeiro²,

Rosado³

et al. 2017

Aust J Crop Sci

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The yellow passion fruit is the most commonly cultivated species of the genus Passiflora in commercial plantations in Brazil. Obtaining accurate and easy to perform measurements for determination of leaf area in passion fruit is crucial to understand the interaction between the plant and the environment. The objective of this study was to develop reliable mathematical equations to directly estimate leaf area in passion fruit using linear measurements. Passion fruit leaves may exhibit varying morphology across phenological stages, with lanceolate, bilobed or trilobed leaves. For each morphological pattern, 100 leaves without defects were collected. The real leaf area was measured with a LI-COR 3100 area meter and regression equations were estimated for real leaf area and measurements of length, width, and their corresponding products, using a millimeter ruler. The results showed that determination of leaf area can be easily and accurately performed for passion fruit leaves of varying morphology, using the product of the linear measurements of length and width. The linear equations chosen for determining leaf area through the product of width and length were 0.25 + 0.64x (lanceolate), -4.82 + 0.69x (bilobed) and -0.81 + 0.54x (trilobed).

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Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

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Non-destructive estimation of leaf area in passion fruit (Passiflora edulis L.)

Souto¹,

Cordeiro²,

Rosado³

et al. 2017

Aust J Crop Sci

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“…These two traits are important in order to define the plasticity and adaptability of feijoa trees to distinct environments, such as agroforestry systems (Donazzolo et al, 2014) and under the effects of water stress (Baracaldo & Gutiérrez, 2014). In other species, LA and LP have been related to fertilization, rootstocks (Sachet et al, 2015), pest damage (Huang et al, 2014) and shading effects (Huang et al, 2015). Indirect methods for quantifying LA and LP are useful, principally when equipment and/or analytical reagent for direct measurement are not available or nondestructive measurements are required, such as under field conditions or low plant density growing in pots for controlled experiments (Peksen, 2007).…”

Section: Introductionmentioning

confidence: 99%

Non-destructive measurement of leaf area and leaf pigments in feijoa trees

Sachet

Citadin

Guerrezi

et al. 2019

Rev. bras. eng. agríc. ambient.

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Leaf area (cm2 per leaf) and leaf pigment content are important traits that can be used to better understand a plants physiology. In this study, empirical non-destructive models for leaf area and leaf pigment based on the leaf dimensions, length (L) and width (W) in centimeters, and chlorophyll meter readings were developed for feijoa (Acca sellowiana). The experiment was carried out during January 2016 using five-year-old trees of 60 genotypes, grown under field conditions in the state of Paraná, Brazil. The proposed leaf area (LA) model was L A = 0 . 0022 L 3 + 0 . 1482 W 2 + 0 . 6159 L W + 0 . 1076 (R2 = 0.99). Three current leaf area models found in the literature were also assessed. All of the already created models were less accurate than the model proposed in this article. The proposed leaf pigment models were based on the Falker Chlorophyll Index for Chlorophyll a (A) and b (B), these were C h l a = 2 . 564 A + 13 . 098 B - 42 . 605 (R2 = 0.94), C h l b = 1 . 538 A + 3 . 287 B + 8 . 847 (R2 = 0.86) and C a r o t e n o i d s = 0 . 947 B + 8 . 943 (R2 = 0.88) expressed as µmol m-2 of leaf blade. In conclusion, the proposed models in this study were shown to be a reliable non-destructivel way of estimating A. sellowiana leaf area and leaf pigment.

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“…Alguns estudos mostram que o método não destrutivo pode ser indicado para estimar satisfatoriamente a área foliar em substituição à análise destrutiva (SACHET et al, 2015).…”

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Modelos De Determinação De Área Foliar Em Feijão Caupi

Oliveira¹,

Lima²,

Moreira³

et al. 2016

Nucleus

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RESUMO:O feijão caupi é uma das leguminosas mais consumidas nas regiões Norte e Nordeste do Brasil, representando uma importante fonte de proteína, energia, fibras e minerais. Com o objetivo de obter equações que, por meio de parâmetros lineares dimensionais das folhas, que permitam estimar a área foliar do feijão caupi, das cultivares BRS Potengi e BRS Tracuateua, foi conduzido um experimento na Universidade Federal Rural da Amazônia no Campus de Capitão Poço -PA. A área foliar foi determinada pelo método dos discos. Ajustaram-se modelos lineares, lineares sem intercepto, quadráticos, cúbicos, logarítmicos, exponenciais e potenciais entre área foliar e o comprimento, a largura e seus produtos (comprimento x largura), sendo eliminados os que apresentaram coeficiente de determinação menor do que 0,90. A estatística utilizada para avaliar o desempenho dos modelos foi o coeficiente de correlação de Pearson (r), o de determinação (R²), a raiz do quadrado médio do erro, o erro absoluto médio, o índice d de Willmott e o índice de Camargo e Sentelhas (CS). Para a cv BRS Potengi as medidas de área foliar podem ser estimadas com boa precisão a partir de equações quadráticas, cúbicas, potencial e linear e, para a cv BRS Tracuateua os modelos matemáticos de melhor desempenho foram o linear, quadrático e potencial.Palavras-chave: BRS Potengi. Coeficiente de determinação. Dimensões do limbo foliar. SUMMARY:The cowpea is one of the most widely consumed legumes in the North and Northeast of Brazil, representing an important source of protein, energy, fiber and minerals. In order to obtain equations through linear dimensions of leaves, to estimate the leaf area of the cowpea, the BRS Potengi and BRS Tracuateua, an experiment was conducted in the Amazonia Federal Rural Universidade in Capitão Poço Campus -PA. The leaf area was determined by the discs. Set up linear, linear without intercept, quadratic, cubic, logarithmic, exponential and potential between leaf area and length, width and the product (length x width), being eliminated those who had coefficient of determination lower than 0,90. The statistic used to evaluate the performance of the models was the Pearson correlation coefficient (r), the determination (R²), the root mean square error, mean absolute error, d index Willmott and Camargo index and Sentelhas (CS). For BRS Potengi the leaf area measurements can be estimated with good accuracy from quadratic equations, cubic, potential and linear and for BRS Tracuateua mathematical models to better performance were linear, quadratic and potential.Keywords: BRS Potengi. Determination coefficient. Dimensions of the leaf blade. INTRODUÇÃOO feijão caupi (Vigna unguiculata (L.) Walp.) é uma das leguminosas mais consumidas nas regiões Norte e Nordeste do Brasil, representando uma importante fonte de proteína, energia, fibras e minerais, além de gerar emprego e renda para a população (OLIVEIRA et al., 2015).No estado do Pará é cultivado, tradicionalmente, por pequenos agricultores no qual foi introduzido principalmente por imigran...

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Estimativa da área foliar de pessegueiro por método não-destrutivo

Cited by 9 publications

References 7 publications

Non-destructive estimation of leaf area in passion fruit (Passiflora edulis L.)

Non-destructive estimation of leaf area in passion fruit (Passiflora edulis L.)

Non-destructive measurement of leaf area and leaf pigments in feijoa trees

Modelos De Determinação De Área Foliar Em Feijão Caupi

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