scholarly journals Non-destructive allometric models for leaf area prediction of Jatropha curcas L.

2021 ◽  
pp. 341-346
Author(s):  
Verma Krishan Kumar ◽  
Verma Chhedi Lal ◽  
Singh Munna
Keyword(s):  
Leaf Area ◽  
Jatropha Curcas ◽  
Leaf Length ◽  
Biological Research ◽  
Plant Leaves ◽  
Allometric Models ◽  
Large Size ◽  
Biodiesel Feedstock ◽  
Close Relationship ◽  
Non Destructive

Jatropha curcas received a lot of attention as a biodiesel feedstock in several countries around the world. The leaf area (LA) estimation is important for biological research due to its close relationship to soil fertility, plant physiological parameters, and photosynthetic efficiency. Allometric models for reliable and accurate models for estimating the leaf area of Jatropha curcas plants based on non-destructive measurements of leaf length (L), width (W), and/ or leaf margins length (P) were developed. Jatropha plant leaves were randomly selected for model construction to estimate the leaf area using L, W, and P leaf values. Simple and accurate equations were obtained, based on leaf width (AL = W1.795), R2 = 0.987, rib length (AL = L32.081), R2 = 0.989, width and rib length (AL = LW0.320), R2 = 0.997, rib length and leaf periphery segment (AL = LP1P120.274), R2 = 0.995, and half rib and width length (AL = LW/0.50.467), R2 = 0.994. The equations were accurate for estimating leaf area of small, medium, and large size of Jatropha leaves.

Allometric models for non-destructive leaf area estimation of Jatropha curcas

2012 ◽  
Vol 36 ◽  
pp. 77-85 ◽  
Author(s):  
M.F. Pompelli ◽  
W.C. Antunes ◽  
D.T.R.G. Ferreira ◽  
P.G.S. Cavalcante ◽  
H.C.L. Wanderley-Filho ◽  
...  
Keyword(s):  
Leaf Area ◽  
Jatropha Curcas ◽  
Allometric Models ◽  
Area Estimation ◽  
Non Destructive

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.

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.

scholarly journals Estimating leaf area of Jatropha nana through non-destructive allometric models

2019 ◽  
Vol 6 (2) ◽  
pp. 59-76 ◽  
Author(s):  
Marcelo F. Pompelli ◽  
◽  
José N. B. Santos ◽  
Marcos A. Santos
Keyword(s):  
Leaf Area ◽  
Allometric Models ◽  
Non Destructive

scholarly journals Allometric models for estimating the leaf area of lisianthus (Eustoma grandiflorum) using a non-destructive method

Revista CERES ◽  
2022 ◽  
Vol 69 (1) ◽  
pp. 7-12
Author(s):  
Marlon Gomes Dias ◽  
Toshik Iarley da Silva ◽  
João Everthon da Silva Ribeiro ◽  
José Antônio Saraiva Grossi ◽  
José Geraldo Barbosa
Keyword(s):  
Leaf Area ◽  
Eustoma Grandiflorum ◽  
Allometric Models ◽  
Non Destructive

Allometric models for non-destructive leaf area estimation in Eugenia uniflora (L.)

2018 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
M. F. Pommpelli ◽  
J. M. Figueirôa ◽  
F. Lozano-Isla
Keyword(s):  
Leaf Area ◽  
Allometric Models ◽  
Eugenia Uniflora ◽  
Area Estimation ◽  
Non Destructive

scholarly journals A non-destructive method for estimating onion leaf area

2015 ◽  
Vol 54 (1) ◽  
pp. 17-30 ◽  
Author(s):  
J.I. Córcoles ◽  
A. Domínguez ◽  
M.A. Moreno ◽  
J.F. Ortega ◽  
J.A. de Juan
Keyword(s):  
Leaf Area ◽  
Crop Production ◽  
Infrared Imaging ◽  
Imaging System ◽  
Biomass Accumulation ◽  
Leaf Length ◽  
Irrigation Season ◽  
Indirect Methods ◽  
Total Leaf ◽  
Non Destructive

AbstractLeaf area is one of the most important parameters for characterizing crop growth and development, and its measurement is useful for examining the effects of agronomic management on crop production. It is related to interception of radiation, photosynthesis, biomass accumulation, transpiration and gas exchange in crop canopies. Several direct and indirect methods have been developed for determining leaf area. The aim of this study is to develop an indirect method, based on the use of a mathematical model, to compute leaf area in an onion crop using non-destructive measurements with the condition that the model must be practical and useful as a Decision Support System tool to improve crop management. A field experiment was conducted in a 4.75 ha commercial onion plot irrigated with a centre pivot system in Aguas Nuevas (Albacete, Spain), during the 2010 irrigation season. To determine onion crop leaf area in the laboratory, the crop was sampled on four occasions between 15 June and 15 September. At each sampling event, eight experimental plots of 1 m2were used and the leaf area for individual leaves was computed using two indirect methods, one based on the use of an automated infrared imaging system, LI-COR-3100C, and the other using a digital scanner EPSON GT-8000, obtaining several images that were processed using Image J v 1.43 software. A total of 1146 leaves were used. Before measuring the leaf area, 25 parameters related to leaf length and width were determined for each leaf. The combined application of principal components analysis and cluster analysis for grouping leaf parameters was used to reduce the number of variables from 25 to 12. The parameter derived from the product of the total leaf length (L) and the leaf diameter at a distance of 25% of the total leaf length (A25) gave the best results for estimating leaf area using a simple linear regression model. The model obtained was useful for computing leaf area using a non-destructive method.

scholarly journals Non-Destructive Model to Predict Commelina diffusa Leaf Area

2018 ◽  
Vol 35 (0) ◽  
Author(s):  
L.B. CARVALHO ◽  
E.A. ALVES ◽  
S. BIANCO
Keyword(s):  
Linear Equation ◽  
Leaf Area ◽  
Leaf Length ◽  
Leaf Width ◽  
Perennial Crops ◽  
Simple Linear Equation ◽  
Non Destructive

ABSTRACT: Leaf length (L), leaf width (W), and leaf area (LA) were measured from 100 leaves aiming to determine a simple linear equation (Y=a*X) to predict the leaf area of Commelina diffusa, an important weed infesting annual and perennial crops in Brazil and worldwide. Results indicate the equation LA=0.7*LW reliably estimates the leaf area of C. diffusa, after correlating LA with LW, and then validating that equation by analyzing four new 25-leaf samples.

scholarly journals Allometric models for non-destructive leaf area measurement of stevia: an in depth and complete analysis

2021 ◽  
Vol 39 (2) ◽  
pp. 205-215
Author(s):  
Israel A Hernández-Fernandéz ◽  
Alfredo Jarma-Orozco ◽  
Marcelo F Pompelli
Keyword(s):  
Leaf Area ◽  
Linear Models ◽  
Stevia Rebaudiana ◽  
Leaf Length ◽  
Area Measurement ◽  
Complete Analysis ◽  
Statistical Criterion ◽  
Power Models ◽  
Non Destructive ◽  
Statistical Criteria

ABSTRACT Leaf area measurement is pivotal for plant physiologists. Hence, accurate measurement of their leaf area is incredibly relevant in agronomic terms. The plant Stevia rebaudiana is a sucrose-free plant species that is now vital to the global production of sucrose-free foods. Here, we estimated S. rebaudiana leaf area using a nondestructive methodology comprising allometric equations. Through leaf length (L), leaf width (W), and/or their product (LW) the leaf area was determined. One thousand leaves were sampled from four distinct S. rebaudiana genotypes for model construction. Linear or power models were generated, and the best equation was selected using a statistical criterion. The statistical criteria indicated that the linear models best suited all genotypes tested, included a function of LW, exhibited increased stability, and precisely estimated coefficients. ANOVA revealed that both generalized and combined equations were feasible. Nevertheless, grouping all genotypes into a single model was not possible as the genotype leaf architectures were very dissimilar.

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