scholarly journals LEAF AREA ESTIMATION IN LITCHI BY MEANS OF ALLOMETRIC RELATIONSHIPS

2017 ◽  
Vol 39 (spe) ◽  
Author(s):  
PABLO SOUTO OLIVEIRA ◽  
WILTON SILVA ◽  
ADRIANA APARECIDA MATTA COSTA ◽  
EDILSON ROMAIS SCHMILDT ◽  
EDNEY LEANDRO DA VITÓRIA
Keyword(s):  
Linear Regression ◽  
Leaf Area ◽  
Linear Regression Equation ◽  
Allometric Relationships ◽  
Linear Quadratic ◽  
Maximum Width ◽  
Quadratic Potential ◽  
Area Estimation ◽  
Linear Dimensions ◽  
The One

ABSTRACT Obtaining leaf area is critical in several agronomic studies, being one of the important instruments to assess plant growth. The aim of this study was to estimate equations and select the most appropriate in determining leaf area in litchi (Litchi chinensis Sonn.). From the linear dimensions of length (L) and maximum width (W) of leaf limb, equations were estimated using linear, quadratic, potential and exponential models. The linear regression equation using the product of the length by maximum width, given by Y = 0.2885 + 0.662 (L.W) is the one that best expresses the leaf area estimation of litchi tree.

scholarly journals Leaf Area Estimation of Garden Boldo From Linear Dimensions

2019 ◽  
Vol 11 (5) ◽  
pp. 461
Author(s):  
Ana Maria Alves de Souza Ribeiro ◽  
Daniel Alves Mundim ◽  
Daisy Cristina Martins Mendonça ◽  
Karina Tiemi Hassuda dos Santos ◽  
Jéssica Sayuri Hassuda Santos ◽  
...  
Keyword(s):  
Leaf Area ◽  
Leaf Blade ◽  
Coefficient Of Determination ◽  
Angular Coefficient ◽  
Simple Linear Regression ◽  
Linear Quadratic ◽  
Maximum Width ◽  
Quadratic Potential ◽  
Linear Dimensions ◽  
Medicinal Properties

The objective of this work was to determine a mathematical equation using linear measures that allows estimating a leaf area of the specie Plectranthus barbatus Andrews, a plant with medicinal properties popularly known as garden boldo. For this was performed a direct measurement of the leaf blade considering the length (L) along the midrib and the maximum width (W) perpendicular to the midrib of 500 leaves of different specimens and the observed foliar area (OLA), which were obtained by digitized images. A regression study with linear, quadratic, potential and exponential models was performed using a random sample of 400 from the evaluated leaves using OLA as a function of L, W or LW and then obtaining the estimated leaf area (ELA) of each model. From the remaining 100 leaves a validation of the tested models was performed using ELA as a function of OLA in a simple linear regression. From the residues between ELA and OLA the root-square-mean error and Willmot index (d) was obtained and the normality was verified. The parameters used for validation were: statistically linear and angular coefficient equal to zero and one respectively; coefficient of determination closest to the unit; RQME closer to zero; d index closest to the unit; normal distribution of residues. The equation that best represents the estimated leaf area of the garden boldo is ELA = 0.1389 + 0.6779 (LW).

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

2019 ◽  
Vol 11 (5) ◽  
pp. 496
Author(s):  
Vinicius de Souza Oliveira ◽  
Karina Tiemi Hassuda dos Santos ◽  
Thainá de Jesus Ambrósio ◽  
Jéssica Sayuri Hassuda Santos ◽  
Weslley do Rosário Santana ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Leaf Area ◽  
Regression Models ◽  
Leaf Blade ◽  
Coefficient Of Determination ◽  
Suitable Model ◽  
Linear Regression Models ◽  
Maximum Width ◽  
Area Estimation ◽  
Linear Dimensions

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.

scholarly journals Regression models for prediction of leaf area in purple ipe [Tabebuia impetiginosa (Mart.)]

2020 ◽  
pp. 654-659
Author(s):  
Jéssica Sayuri Hassuda Santos ◽  
Karina Tiemi Hassuda dos Santos ◽  
Vinicius de Souza Oliveira ◽  
Gleyce Pereira Santos ◽  
Luis Fernando Tavares de Menezes ◽  
...  
Keyword(s):  
Leaf Area ◽  
Regression Models ◽  
Linear Models ◽  
Regression Equations ◽  
Linear Quadratic ◽  
Maximum Width ◽  
Quadratic Potential ◽  
Area Estimate ◽  
Non Destructive

Besides its medicinal and ornamental use, Tabebuia impetiginosa is also very economically important. The achievement of accurate and easy-to-perform tools to determine its leaf area is fundamental for understanding the interaction between the plant and the environment. The objective of this work was to obtain regression equations by using several models that use allometric measurements of the fifth leaflet and to select the most accurate one to determine the leaf area of composite leaves of Tabebuia impetiginosa Mart. in a non-destructive way. By using the dimensions of the fifth leaflet such as - length (LFL in cm), maximum width (WFL in cm) and the product between LFL and WFL (LWFL) of leaf limb, the equations were estimated for linear, quadratic, potential and exponential linear models. The results showed that the determination of leaf area could be performed with excellent precision for leaves of different sizes of this species, using the product of the measurements of length and width of the fifth leaflet. The equation that best expresses the leaf area estimate of the composite leaf of Tabebuia impetiginosa is ELACL = 8.7772 + 2.3840 (LWFL).

scholarly journals Alometric Model for Estimation of Leaf Area of Garcinia brasiliensis Mart. Through Non-destructive Method

2019 ◽  
Vol 11 (10) ◽  
pp. 154
Author(s):  
Vinicius de Souza Oliveira ◽  
Cássio Francisco Moreira de Carvalho ◽  
Juliany Morosini França ◽  
Flávia Barreto Pinto ◽  
Karina Tiemi Hassuda dos Santos ◽  
...  
Keyword(s):  
Leaf Area ◽  
Linear Equations ◽  
Absolute Error ◽  
Coefficient Of Determination ◽  
Maximum Width ◽  
Linear Dimensions ◽  
Length Width ◽  
Independent Variable ◽  
The Mean ◽  
Non Destructive

The objective of the present study was to test and establish mathematical models to estimate the leaf area of Garcinia brasiliensis Mart. through linear dimensions of the length, width and product of both measurements. In this way, 500 leaves of trees with age between 4 and 6 years were collected from all the cardinal points of the plant in the municipality of São Mateus, North of the State of Espírito Santo, Brazil. 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 obtained for all leaves. From these measurements were adjusted linear equations of first degree, quadratic and power, in which OLA was used as dependent variable as function of L, W and LW as independent variable. For the validation, the values of L, W and LW of 100 random leaves were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). The values of the means of ELA and OLA were tested by Student’s t test 5% of probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott’s index d for all proposed models were also determined. The choice of the best model was based on the non significant values in the comparison of the means of ELA and OLA, values of MAE and RMSE closer to zero and value of the index d and coefficient of determination (R2) close to unity. The equation that best estimates leaf area of Garcinia brasiliensis Mart. in a way non-destructive is the power model represented by por ELA = 0.7470(LW)0.9842 and R2 = 0.9949.

scholarly journals Non-destructive linear model for leaf area estimation in Vernonia ferruginea Less

2015 ◽  
Vol 75 (1) ◽  
pp. 152-156 ◽  
Author(s):  
MC. Souza ◽  
CL. Amaral
Keyword(s):  
Linear Regression ◽  
Leaf Area ◽  
Leaf Development ◽  
Linear Equations ◽  
Accurate Estimate ◽  
Area Estimation ◽  
Leaf Dimensions ◽  
Non Destructive ◽  
Linear Regressions ◽  
Very High

Leaf area estimation is an important biometrical trait for evaluating leaf development and plant growth in field and pot experiments. We developed a non-destructive model to estimate the leaf area (LA) of Vernonia ferruginea using the length (L) and width (W) leaf dimensions. Different combinations of linear equations were obtained from L, L2, W, W2, LW and L2W2. The linear regressions using the product of LW dimensions were more efficient to estimate the LA of V. ferruginea than models based on a single dimension (L, W, L2 or W2). Therefore, the linear regression “LA=0.463+0.676WL” provided the most accurate estimate of V. ferruginea leaf area. Validation of the selected model showed that the correlation between real measured leaf area and estimated leaf area was very high.

scholarly journals Water managed properties of apple and pear trees based on lysimeters

2011 ◽  
pp. 129-132
Author(s):  
Péter Riczu ◽  
Nikolett Szőllősi ◽  
János Tamás ◽  
József Zsembeli
Keyword(s):  
Leaf Area ◽  
Significant Proportion ◽  
Dry Weight ◽  
Fruit Trees ◽  
Leaf Length ◽  
Maximum Width ◽  
K Value ◽  
The One ◽  
Tree Leaf

A significant proportion of the aboveground green and dry weight of the plant is constituted by foliage. The canopy is an important factor of plant growth. On the one hand, the canopy absorbs solar energy, which is necessary for photosynthesis; on the other hand, it accumulates the nutrients absorbed by the roots, and most of the water-loss occurs through the foliage. The determination of the full canopy is not an easy target. In our research, we developed a measurement method to determine the leaf area. With the parameters of the examined tree (leaf length and maximum width) and the data of the ADC AM 100 leaf area scanner, we determined the k-value, with which we can easily and fast evaluate the leaf surface. Furthermore, we defined from the water balance of compensation lysimeters the cumulative transpiration of fruit trees and the efficiency of water use of trees. From the examined trees were made a 3D depiction, which show the shape, branching and the location of trees.

scholarly journals Mathematical Models for Leaf Area Estimates of Guava

2018 ◽  
Vol 10 (12) ◽  
pp. 272
Author(s):  
Edney L. da Vitória ◽  
Ismael L. de J. Freitas ◽  
Tamara Locatelli ◽  
Elcio das G. Lacerda ◽  
Juliana M. Valle ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Leaf Area ◽  
Digital Imaging ◽  
Linear Regression Analysis ◽  
Linear Quadratic ◽  
Leaf Discs ◽  
Linear Dimensions ◽  
Power Models ◽  
Scanned Images ◽  
Guava Leaf

The aim of this work was to compare methods of determining the leaf area of guava (leaf discs and scanned images) and to model leaf area as a function of linear dimensions. Four areas of guava ‘Paluma’ were selected (12, 15, 20 and 24 months of age) for the experiment in the municipality of Pedro Canário, ES, Brazil. We randomly collected samples from 15 plants in each area. Ten leaves were chosen among the lower, middle and upper thirds of each plant to ensure that leaves of all sizes were collected, for a total of 600 leaves. Subsequently, we determined the leaf area by the methods of digital imaging and leaf discs. Linear regression analysis and correlation analysis were used to compare the methods. Linear, quadratic and power models of leaf area, as a function of the length or width and/or the product of length and width were adjusted. The methods of leaf discs and scanned images are discordant. The method of digitised images was a better fit to the width of the leaf, while the method of leaf discs was a better fit for length.

scholarly journals Leaf area estimation of Burley tobacco

2021 ◽  
Vol 51 (1) ◽  
Author(s):  
Marcos Toebe ◽  
Francis Junior Soldateli ◽  
Rafael Rodrigues de Souza ◽  
Anderson Chuquel Mello ◽  
Alexandre Segatto
Keyword(s):  
Leaf Area ◽  
Tobacco Industry ◽  
Width Ratio ◽  
Area Estimation ◽  
Burley Tobacco ◽  
Linear Dimensions ◽  
Main Variable ◽  
Length Width ◽  
Tobacco Cultivar ◽  
Measured Length

ABSTRACT: Leaf area is an important growth variable in agricultural crops and the leaf is the main variable of interest in the tobacco industry. So, the aim of this scientific research was to estimate the Burley tobacco leaf area by linear dimensions of the leaves and to determine which mathematical model is more adequate for this purpose. Two experiments were carried out with Burley tobacco, cultivar DBH 2252, in 2016/2017 and 2018/2019 agricultural years, respectively, in the municipalities of Itaqui and Vanini - RS - Brazil. In 600 leaves were measured length (L), width (W), length×width product (LW), length/width ratio (L/W) and determined the real leaf area (LA). Four hundred and fifty leaves were separated to generate models of the leaf area as a function of linear dimension and the other 150 leaves were used for model’s validation. The power model LA = 0.5037LW1.04435 (R² = 0.9960) is the most adequate for Burley tobacco ‘DBH 2252’ leaf area estimation. Alternatively, the models LA=2.0369W1.8619 (R²=0.9796) and LA=0.1222L2.2771 (R²=0.9738) based on width and length, respectively, can be used when only one leaf dimension is measured.

scholarly journals Leaf area estimation of squash ‘Brasileirinha’ by leaf dimensions

2019 ◽  
Vol 49 (4) ◽  
Author(s):  
Marcos Toebe ◽  
Rafael Rodrigues de Souza ◽  
Anderson Chuquel Mello ◽  
Patrícia Jesus de Melo ◽  
Alexandre Segatto ◽  
...  
Keyword(s):  
Leaf Area ◽  
Linear Dimension ◽  
The Real ◽  
Area Estimation ◽  
Linear Dimensions ◽  
Validation Of Models ◽  
Length Width ◽  
Leaf Dimensions ◽  
Sowing Season

ABSTRACT: The objectives of this work were estimate the leaf area of squash ‘Brasileirinha’ by linear dimensions of the leaves and check models available in the literature. An experiment was conducted in the 2015/16 sowing season. Were collected 500 leaves and in each one, were measured the length (L), width (W) and length×width product (LW) and determined the real leaf area (LA). Then, 400 leaves were separated to generate models of the leaf area (LA) as a function of linear dimension (L, W or LW) of squash. The remaining 100 leaves were used for the validation of models. A second experiment was conducted in the 2016/17 sowing season. Were collected 250 leaves, used only for the validation of the models of the first experiment. There is collinearity between L and W and, therefore, models using the LW product are not recommended. The model LA=0.5482W2 + 0.0680W (R²=0.9867) is adequate for leaf area estimation of squash ‘Brasileirinha’.

scholarly journals Leaf area estimation of cassava from linear dimensions

2017 ◽  
Vol 89 (3) ◽  
pp. 1729-1736 ◽  
Author(s):  
SAMARA ZANETTI ◽  
LAÍS F.M. PEREIRA ◽  
MARIA MÁRCIA P. SARTORI ◽  
MARCELO A. SILVA
Keyword(s):  
Leaf Area ◽  
Area Estimation ◽  
Linear Dimensions
Sign in / Sign up

Export Citation Format

Share Document