Allometric model for estimating leaf area in clonal varieties of coffee (<i>Coffea canephora</i>)

Schmildt, Edílson Romais; Amaral, José Augusto Teixeira do; Santos, Jeangelis Silva; Schmildt, Omar

doi:10.5935/1806-6690.20150061

Cited by 29 publications

(35 citation statements)

References 10 publications

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“…Thus, it is indicated that the models of dwarf pigeon pea leaf area estimation in function of the product of the central leaflet length times the width should be preferentially used when the higher accuracy is the objective in relation to the other models that are based only on length or width of the central leaflet, as confirmed by Schwab et al (2014) and Schmildt et al (2015). However, the power model based on the width of the central leaflet can be used, with a small reduction of accuracy, but being less laborious, since only one measured variable is required.…”

Section: Resultsmentioning

confidence: 97%

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

et al. 2018

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Section: Resultsmentioning

confidence: 97%

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

et al. 2018

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“…Foliar area estimation models based on more than one measure are more notorious, according to those proposed for several species as Jatropha curcas (Pompelli et al, 2012), Passiflora spp. (Morgado et al, 2013), Vitis vinífera L. (Buttaro et al, 2015), Coffea canephora (Schmildt et al, 2015) and Prunus armeniaca L. (Cirillo et al, 2017), concluding that the best adjustments were found relating L and W in comparison with models that take into account only one dimension.…”

Section: Resultsmentioning

confidence: 99%

“…'Triunfo'. It should be emphasized as described by Schmildt et al (2015), for the determination of models that estimate the leaf area is necessary the destruction of the leaves, however after establishing the equation the leaf area can be estimated by obtaining the length along the main vein and the largest width of the leaf blade, with simple equipment such as ruler and or tape measure, non-destructively.…”

Section: Resultsmentioning

confidence: 99%

Non-destructive Method for Estimating the Leaf Area of Pear cv. ‘Triunfo’

Oliveira¹,

Santos²,

Morais³

et al. 2019

JAS

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The present study had as objective to determine mathematical equations to estimate the leaf area of pear cv. 'Triunfo' using linear dimensions of the leaves. For that, 300 healthy leaves of different sizes from each quadrant of plants from the small farm of Boa Vista located in the city of Montanha, at the northern side of the State of Espírito Santo, Brazil were used. The length (L) along the main vein was measured, along with the maximum width (W) of the leaf blade and observed leaf area (OLA), in addition to the product of the length and width (LW) of each leaf. From these measurements models of linear equations of first degree, quadratic and power were adjusted and their respective R 2, using OLA as dependent variable and L, W and LW as independent variable. Based on the proposed equations, the data were validated obtaining the estimated leaf area (ELA). The mean of the ELA and OLA were compared by Student t test 5% probability. The mean error (E), the mean absolute error (MAE) and the root mean squared error (RMSE) was also used as validation criterion. The best equation model was defined based on the non-significant values from the comparison of means of ELA and OLA, E, MAE and RMSE values closer to zero and highest R 2 . The leaf area of pear cv. 'Triunfo' can be estimated by the equation ELA = -0.432338 + 0.712862(LW) non-destructively and with a high degree of precision.

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“…Mathematical models for estimating leaf area have already been developed for various crops, such as Cucumis melo L. [6], Crambe abyssinica [7], Jatropha curcas [4], Passiflora spp. [8], Coffea canephora [9], Vitis vinífera L. [10], Passiflora mucronata [11], Annona cherimila Mill. [12], Crotalaria juncea [5], Litchi chinensis Sonn.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling to Estimation Leaf Area of Pimenta dioica from Linear Dimensions

Oliveira¹,

Gonçalves²,

Costa³

et al. 2019

IJPSS

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The objective of this work was to obtain regression equations and to indicate the most appropriate from different mathematical models for the estimation of the leaf area of Allspice (Pimenta dioica) by non - destructive method. 500 leaves of plants located in the municipality of São Mateus, North of Espírito Santo State, Brazil, were collected, 400 of which were used to adjust the equations and 100 for validation. The length (L) along the main midrib, the maximum width (W), the product of the length with the width (LW) and the observed leaf area (OLA) were measured from all leaves. We fitted models of linear equations of first degree, quadratic and power, where OLA was the dependent variable in function of L, W and LW. From the 100 sheets intended for validation, and using the adjusted equations for each mathematical model, the estimated leaf area (ELA) was obtained. Subsequently, a simple linear regression was fitted for each model of the proposed equation in which ELA was the dependent variable and OLA the independent variable. The mean absolute error (MAE), the root mean square error (RMSE) and Willmott's index d also determined. The best fit had as selection criterion the non-significance of the comparative means of ELA and OLA, MAE and RMSE values closer to zero and value of the coefficient of determination coefficient (R2) close to one. Thus, the power model (ELA = 0.7605(LW)0.9926, R2 = 0.9764, MAE = 1.0066, RMSE = 1.7759 and d = 0.9950) based on the product of length and width (LW) is the most appropriate for estimating the leaf area of Pimenta dioica.

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Allometric model for estimating leaf area in clonal varieties of coffee (Coffea canephora)

Cited by 29 publications

References 10 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

Non-destructive Method for Estimating the Leaf Area of Pear cv. ‘Triunfo’

Mathematical Modeling to Estimation Leaf Area of Pimenta dioica from Linear Dimensions

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