scholarly journals Non-destructive models for leaf area determination in canola

2016 ◽  
Vol 20 (6) ◽  
pp. 551-556 ◽  
Author(s):  
Francilene de L. Tartaglia ◽  
Evandro Z. Righi ◽  
Leidiana da Rocha ◽  
Luis H. Loose ◽  
Ivan C. Maldaner ◽  
...  
Keyword(s):  
Leaf Area ◽  
Leaf Length ◽  
Phenological Stages ◽  
Gas Exchanges ◽  
Independent Variables ◽  
Length Width ◽  
Leaf Dimensions ◽  
Non Destructive ◽  
Important Structure ◽  
Area Determination

ABSTRACT The leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W2 + 0.93503 W and the power model LA = 1.1282 W1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area.

scholarly journals Leaf area estimatites of custard apple tree progenies

2004 ◽  
Vol 26 (3) ◽  
pp. 558-560 ◽  
Author(s):  
Paulo Sérgio Lima e Silva ◽  
Decio Barbin ◽  
Ranoel José de Sousa Gonçalves ◽  
João Domingos da Cruz Firmino ◽  
Idaiane Costa Fonseca
Keyword(s):  
Leaf Area ◽  
Apple Tree ◽  
Leaf Length ◽  
Regression Equations ◽  
Measuring Device ◽  
Mature Leaves ◽  
Custard Apple ◽  
Length Width ◽  
Leaf Dimensions ◽  
Automatic Measuring Device

Leaf area measurements are required in several agronomical studies. Usually, there is an interest for measurement methods that are simple, quick and that will not destroy the leaf. The objectives of this work were to evaluate leaf area (y), length (l) and width (w) of 20 half-sibling progenies of custard apple tree (Annona squamosa L.), and to fit regression equations of the type y = a + bx, where x = l.w, that will allow y to be estimated based on l and w. The experiment was conducted as random blocks with five replicates and four plants per plot. Five mature leaves were randomly collected from each plant. Leaf area was measured with an automatic measuring device and leaf dimensions were determined with a ruler. All values of b were different from zero. Differences occurred only in 11% of the 190 possible comparison pairs between progenies, with regard to the estimates of b. No differences were observed between progenies with respect to leaf length, width and area. In view of this fact, the equation y = 0.72 x (R² = 0.77) was fitted for all progenies.

scholarly journals Non-destructive equations to estimate the leaf area of Styrax pohlii and Styrax ferrugineus

2014 ◽  
Vol 74 (1) ◽  
pp. 222-225 ◽  
Author(s):  
MC Souza ◽  
G Habermann
Keyword(s):  
Linear Regression ◽  
Leaf Area ◽  
Linear Equations ◽  
Independent Variables ◽  
Leaf Dimensions ◽  
Independent Variable ◽  
Non Destructive ◽  
Linear Regressions

We developed linear equations to predict the leaf area (LA) of the species Styrax pohlii and Styrax ferrugineus using the width (W) and length (L) leaf dimensions. For both species the linear regression (Y=α+bX) using LA as a dependent variable vs. W × L as an independent variable was more efficient than linear regressions using L, W, L2 and W2 as independent variables. Therefore, the LA of S. pohlii can be estimated with the equation LA=0.582+0.683WL, while the LA of S. ferrugineus follows the equation LA=−0.666+0.704WL.

scholarly journals Pendugaan Luas Daun Tanaman Talas (Colocasia esculenta)

2020 ◽  
Vol 25 (4) ◽  
pp. 610-617
Author(s):  
Yusi Nurmalita Andarini ◽  
Higa Afza ◽  
Sutoro Sutoro
Keyword(s):  
Leaf Area ◽  
Germplasm Collection ◽  
Leaf Length ◽  
Nondestructive Method ◽  
Gene Bank ◽  
Leaf Width ◽  
Model Estimation ◽  
Independent Variables ◽  
Length Width ◽  
Better Than

  Estimation of leaf area by using leaf length and leaf width variables could be done without destruction of the leaves from plants and more practical than using the leaf areameter. Surface area is a function of the variable length and width, so the leaf area can be measured based on leaf length and leaf width variables. The purpose of this research is to get the leaf area estimator model with nondestructive method. Taro plants were observed by using 12 accessions/varieties taken from the germplasm collection in Gene Bank Collection of ICABIOGRAD, IAARD. Observations of the length, width, and area of leaf were carried out on 10-12 leaf samples for each accession/variety from taro cultivation which was about 4 months old. The length (P), width (L), and area (Y) of each taro leaf were measured. The estimation of taro leaves area by regression equation was analyzed by using one (P or L) and two (P and L) independent variables. Estimation using two variables, leaf length and width, is better than only use one variable. Taro leaf area (Y) of each leaf can be determined by the equation Y = 0.9462 P x L for ratio of P/L less than 1.10, Y = 0.9109 P x L for ratio of P/L between 1.10-1.19, and Y = 0.8860 P x L for ratio of P/L equal or greater than 1.20. Keywords: model estimation, leaf area, taro

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 Modelos alométricos na determinação da área foliar de Bauhinia monandra Kurz

2016 ◽  
Vol 7 (3) ◽  
pp. 415
Author(s):  
Edilson Romais Schmildt ◽  
Omar Schmildt ◽  
Rodrigo Sobreira Alexandre ◽  
Adriano Alves Fernandes ◽  
Marcio Paulo Czepak
Keyword(s):  
Mathematical Models ◽  
Leaf Area ◽  
Linear Model ◽  
Potential Model ◽  
Leaf Surface ◽  
Linear Quadratic ◽  
Potential Models ◽  
Independent Variables ◽  
Model Based ◽  
Area Determination

The aim of this study was to evaluate the efficiency of the adjustment of mathematical models for determining Bauhinia monandra leaf area using the length and/or width of the leaves as independent variables. Leaves from plants with three years were used to the estimative of equations in linear, quadratic and potential models. The validation from the estimated leaf area as a function of the observed leaf area showed that the linear model based on the product of length and width of the largest leaf surface is the model that best fits. However, the leaf area determination can be represented by using only the length or width of the leaves with little loss of accuracy. A representation that better estimates Bauhinia monandra leaf area with easy application is the potential model in which xi represents the length of one of the symmetrical leaf lobes.

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 Estimation of total leaf area and D leaf area of pineapple from biometric characteristics

2018 ◽  
Vol 40 (6) ◽  
Author(s):  
Marlúcia Pereira dos Santos ◽  
Victor Martins Maia ◽  
Fernanda Soares Oliveira ◽  
Rodinei Facco Pegoraro ◽  
Silvânio Rodrigues dos Santos ◽  
...  
Keyword(s):  
Leaf Area ◽  
Regression Models ◽  
Carbon Fixation ◽  
Pearson Correlation ◽  
Leaf Length ◽  
Total Leaf Area ◽  
Total Leaf ◽  
Pearson Correlation Analysis ◽  
Biometric Measurements ◽  
Non Destructive

Abstract The estimation of pineapple total leaf area by simple, fast and non-destructive methods allow inferences related to carbon fixation estimative, biotic and abiotic damages and correlating positively with yield. The objective was to estimate D leaf area and total leaf area and of ‘Pérola’ pineapple plants from biometric measurements. For this purpose, 125 slips were selected and standardized by weight for planting in pots. Nine months after planting in a greenhouse, the plants were harvested to evaluate the total leaf area of the plant, D leaf area and D leaf length and width using a portable leaf area meter. Pearson correlation analysis was made and it was observed significative positive and strong correlation among the studied variables. Then, regression models were adjusted. It was observed that the D leaf area of ‘Pérola’ pineapple can be estimated from the length and width of this same leaf and the total leaf area can be estimated from the D leaf area.

Effects of photoperiod on leaf appearance rate and leaf dimensions in winter and spring wheats

1996 ◽  
Vol 76 (1) ◽  
pp. 43-50 ◽  
Author(s):  
S. Pararajasingham ◽  
L. A. Hunt
Keyword(s):  
Leaf Area ◽  
Leaf Length ◽  
Leaf Number ◽  
Dry Matter Accumulation ◽  
Flag Leaves ◽  
Appearance Rate ◽  
Rate Of Increase ◽  
Leaf Appearance Rate ◽  
Leaf Dimensions ◽  
Leaf Appearance

Research on genotypic variation in the response of leaf-area production and expansion to photoperiod in wheat is limited. Growth-cabinet experiments using four spring and four winter wheat (Triticum aestivum L.) cultivars and four photoperiod (8, 12, 16 and 20 h) treatments were thus conducted with the objective of investigating the effect of photoperiod on leaf appearance rate and leaf dimensions. Winter wheats were grown without vernalization. In the spring wheats, flag leaves and spikes were formed under the longer photoperiod (16 and 20 h) treatments, and leaf number increased linearly with time. At the shorter photoperiods, flag leaves and spikes appeared in some cultivars only, and the rate of increase in leaf number decreased in the later stages. Final leaf number was greater at shorter photoperiods. In the winter cultivars, more leaves appeared than in the spring types under the longer photoperiods. For leaves 3–7, leaf number was a linear function of time, with photoperiod and cultivar effects. For one of four spring cultivars, the rate of leaf appearance was greater at 8 h than at 20 h, whereas for three of the winter cultivars the reverse was true. Leaf length increased with leaf number up to at least nodes 5–6 for both spring and winter types but decreased for the later-formed leaves for the spring but not for the winter types. Leaves of plants grown under photoperiods longer than 8 h were longer and broader than those grown under the short photoperiod, and the effect was more pronounced in winter than in spring cultivars. Such genotypic differences in the direct effects of photoperiod on leaf dimensions, which could influence the rates of leaf-area production and dry-matter accumulation under field conditions, emphasize that future studies should incorporate genotypes from different eco-physiological regions and that simulation models of wheat growth and development may need to account for variability in the control of vegetative growth. Key words: Wheat, photoperiod, leaf appearance rate, leaf length, leaf width

scholarly journals Models for estimating yacon leaf area

2016 ◽  
Vol 34 (3) ◽  
pp. 422-427 ◽  
Author(s):  
Wellington A Erlacher ◽  
Fábio L Oliveira ◽  
Gustavo S Fialho ◽  
Diego MN Silva ◽  
Arnaldo HO Carvalho
Keyword(s):  
Leaf Area ◽  
Crop Production ◽  
Scientific Information ◽  
Leaf Size ◽  
Leaf Length ◽  
Logarithmic Model ◽  
Area Estimate ◽  
Independent Variable ◽  
Precision And Accuracy ◽  
Non Destructive

ABSTRACT The recent exploration of yacon demands scientific information for improving the crop production technology. This study aimed to set a leaf area estimate model for yacon plants, using non-destructive measurements of leaf length (L) and/or width (W). Sixty-four representative yacon plants were randomly selected in an experimental field during the full vegetative growth. One thousand leaves of various sizes were taken from those plants for setting and validating a model. The logarithmic model best fitted this purpose, the result of multiplying length by width being used as independent variable. Yacon leaf area can be determined with high precision and accuracy by LALW = (-27.7418 + (3.9812LW / ln LW ) , disregarding the leaf size.

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