Indirect estimation of leaf area in  genotypes of 'Conilon' coffee (Coffea canephora Pierre ex A. Froehner)

Espindula, Marcelo Curitiba; Passos, A. M. A. dos; Araújo, Larissa Fatarelli Bento de; Marcolan, A. L.; Partelli, Fábio Luiz; Ramalho, A. R.

doi:10.21475/ajcs.18.12.06.pne1090

Cited by 9 publications

(15 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to Pimentel-Gomes (2009), all these values are considered high or very high, attesting high variability of the sampled data. However, it is desired a high CV value in works that seek a mathematical model to estimate the leaf area, since equations that take into account different leaves forms and sizes present better adjustments, besides representing all the stages of vegetative development of the plants (Toebe et al, 2011;Espindula et al, 2018;Pezzini et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

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

Oliveira¹,

Santos²,

Morais³

et al. 2019

JAS

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 99%

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

Oliveira¹,

Santos²,

Morais³

et al. 2019

JAS

View full text Add to dashboard Cite

show abstract

“…Thus, models used to determine leaf area that takes into consideration only one linear dimension show lower degree of efficiency, being used only in a few cases. Thus, equations based on the set of dimensions and several leaves size, such as the product of the length by the width, are more desired for showing better adjusts for leaf area estimation (Espindula et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…Mathematical models that aim the indirect leaf area estimation have been used for different plant species as cocoa (Asomaning & Lockard, 1963), Cucumis sativus L. (Cho, S. Oh, M. M. Oh, & Son, 2007), Vicia faca L. (Peksen, 2007), Tabebuia and Handroanthus (Monteiro et al, 2017), colza (Tian et al, 2017) and Coffea canephora (Schmildt, Amaral, Santos, & Schmildt, 2015;Espindula et al, 2018). Methods have been described to estimate leaf area of papaya from adult plants, as mentioned by Campostrini and Yamanishi (2001)…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling for Leaf Area Estimation From Papaya Seedlings ‘Golden THB’

Oliveira¹,

Santos²,

Ambrosio³

et al. 2019

JAS

View full text Add to dashboard Cite

The aim of this study was to select the most suitable model for leaf area estimation from papaya seedlings cv. ‘Golden THB’ using linear dimensions of leaves with unilobular and trilobular morphology. It was used leaves of 60 seedlings with 30 days after sowing produced in nursery of the Fazenda Santa Teresinha which belongs to company Caliman Agrícola S.A., in the municipality of Linhares, state of Espírito Santo, in March 2016. The measurement of the length (L) was performed along the midrib, the maximum width (W) of the leaf blade, the product of the length by the width (LW) and the observed leaf area (OLA). From these results, first degree and power linear regression models was adjusted. From the proposed regression models, the validation was performed with a leaves sample of 60 seedlings produced in June 2016, obtaining, thus, the estimated leaf area (ELA). The following criteria were used to choose the best model: the highest coefficient of determination (R2), the values do not significant of the comparison of means of OLA and ELA and values of MAE and RMSE closer to zero. The leaf area estimation from papaya seedlings cv. ‘Golden THB’ can be represented through equation ELA = -0.402619 + 0.612525(LW) for trilobular leaves and through equation ELA = 0.623355 + 0.610552(LW) for unilobular leaves.

show abstract

“…Observed leaf area (OLA) and estimated leaf area (ELA) of linear equations of first degree, quadratic and potential for the independent variables length (L), width (W) and product of length and width (LW), besides the value of p, mean absolute error (MAE), root mean square error (RMSE) and Willmott The use of only a linear dimension in practice is easier to execute, making the work less costly. However, these models are adjusted only for specific cases, being less precise for most species (Espindula et al, 2018). Therefore, models using the relation of linear dimensions as found in this study are notoriously used as reported for several species as Jatropha curcas (Pompelli et al, 2012), Vitis vinífera L. (Buttaro et al, 2015), Coffea canephora (Schmildt et al, 2015), Crotalaria juncea (Carvalho et al, 2017) and Litchi chinensis Sonn (Oliveira et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

Estimation Leaf Area by Composite Leaves of Canavalia rosea Seedlings Through Linear Dimensions From Last Leaflet

Pinheiro¹,

Oliveira²,

Santos³

et al. 2019

JAS

View full text Add to dashboard Cite

The objective of this work was to propose models of equations from measurements of the linear dimensions of the last leaflet for the estimation of the leaf area of the composite leaves of Canavalia rosea. For this purpose, 441 composite leaves of 198 seedlings were used, 45 days after sowing, produced in nursery and belonging to the Federal University of Espírito Santo, Campus São Mateus, located in the municipality of São Mateus, North of the State of Espírito Santo, Brazil. The length (L) along the main midrib and the maximum leaf width (W) of the last leaflet of each composite leaf, as well as the leaf area of all leaflets, were measured. Subsequently, it was determined the product of the multiplication of the length with the width (LW) and leaf area observed (OLA) from the sum of leaf area of leaflets in front of these measures were adjusted linear and non-linear equations of linear first degree, quadratic and power models, where, OLA was used as a dependent variable in function of L, W and LW as independent variable. Based on the models tested, we obtained equations for the estimated leaf area (ELA). The mean values of ELA and OLA were compared by Student's t test 5% probability. The mean absolute error (MAE), the root mean square error (RMSE) and the Willmott d index, were determined as criteria for validation. The best adjusted equation was chosen through the non-significant values in the comparison of the means of ELA and OLA, values of MAE and RMSE closer to zero, value of the index d near the unitary and higher values of R2. Thus, the leaf area of the composite leaf of C. rosea seedlings can be estimated by the power model represented by equation ELA = 2.2951 (LW)0.9474 quickly, easily and non-destructively.

show abstract

Indirect estimation of leaf area in genotypes of 'Conilon' coffee (Coffea canephora Pierre ex A. Froehner)

Cited by 9 publications

References 7 publications

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

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

Mathematical Modeling for Leaf Area Estimation From Papaya Seedlings ‘Golden THB’

Estimation Leaf Area by Composite Leaves of Canavalia rosea Seedlings Through Linear Dimensions From Last Leaflet

Contact Info

Product

Resources

About