scholarly journals Non-destructive and Destructive Methods to Determine the Leaf Area of Zucchini

2020 ◽  
Vol 8 (3) ◽  
pp. 295
Author(s):  
Adriano Bicioni Pacheco ◽  
Jéssica Garcia Nascimento ◽  
Larissa Brêtas Moura ◽  
Tárcio Rocha Lopes ◽  
Sergio Nascimento Duarte ◽  
...  
Keyword(s):  
Leaf Area ◽  
Prediction Models ◽  
Standard Procedure ◽  
Efficiency Index ◽  
Estimation Model ◽  
Statistical Parameters ◽  
Important Indicator ◽  
Area Estimation ◽  
Non Destructive ◽  
Destructive Methods

Leaf area estimation is a very important indicator in studies related to plant anatomy, morphology and physiology, and in many cases, it is a fundamental criterion to understand plant response to input conditions. Although there are leaf area prediction models have been produced for some plant species, a leaf area estimation model has not yet been developed for the zucchini. The objective of this paper was to determine the leaf area based on destructive and non-destructive methods for zucchini. The accuracy of measurement methods was evaluated and compared to determinations of the leaf area by the scanning integration method (LICOR equipment LI 3100C), considered as standard procedure. Non-destructive methods consisted of digital photography and measurement of leaf dimensions (width and length) based on ImageJ software. The destructive methods used were a) leaf area integrator LI-3100C, b) determination of leaf mass and c) weighing of leaf discs punched from the leaves. According to statistical parameters that evaluate the performance of the analyzed methods: determination coefficient (R2), Pearson (r) correlation coefficient, Willmott agreement index (d) and Camargo and Sentelhas performance index (c) the parameters presented values higher than 0.8820, classifying the methods as very good, whereas the modeling efficiency index (NSE) and the percentage of bias (PBIAS) also classified the methods as very good (0.87≤NSE≤0.99; -4.80≤PBIAS≤1.40), except the ImageJ method without correction (NSE=0.77; PBIAS = -22.70).

scholarly journals Non-Destructive Leaf Area Estimation Model for Overall Growth Performances in Relation to Yield Attributes of Cassava (Manihot esculenta Cranz) under Water Deficit Conditions

2019 ◽  
Vol 47 (3) ◽  
Author(s):  
Piyanan PIPATSITEE ◽  
Apisit EIUMNOH ◽  
Patchara PRASEARTKUL ◽  
Navavit PONGANAN ◽  
Kanyarat TAOTA ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Water Deficit ◽  
Growth And Yield ◽  
Water Deficit Stress ◽  
Storage Root ◽  
Estimation Model ◽  
Area Index ◽  
Area Estimation ◽  
Non Destructive

Cassava is a tropical storage root crop, a source of carbohydrate and alternative energy. It has been classified as “drought tolerant plant” for the whole life cycle, except during the root initiation stage (120-150 DAP). Leaf area index (LAI) is one of the most parameters representing the overall growth and yield prediction in cassava. The aim of this investigation was to validate the physiological and growth performance of cassava in responses to water deficit stress in the field trial as well as to investigate the leaf area index as an important factor to cassava growth and storage root bulking. Leaf relative water content in cassava declined significantly upon a long period of water withholding, and regulated non-photochemical quenching (NPQ), leading to chlorophyll degradation, reduced number of leaves and limited leaf area index (LAI) and loss of storage root yield when compared with well-irrigated plants. Non-destructive leaf area estimation model under water deficit stress condition using spectral reflectance to determine the LAI and VIs was validated. The Ratio Vegetation Index (RVI) was suitable model with high coefficient of determination (R2 = 0.89). However, the RVI as LAI at 150 DAP (120 d water withholding) could be considered as the critical point to indicate cassava growth and yield performance. Based on the results, cassava growth, biomass and yield in the different environments may further be investigated, taking into consideration the genotypic variation and using remote sensing technology for rapid monitoring and accurate and cost-effective data assessment.   ********* In press - Online First. Article has been peer reviewed, accepted for publication and published online without pagination. It will receive pagination when the issue will be ready for publishing as a complete number (Volume 47, Issue 3, 2019). The article is searchable and citable by Digital Object Identifier (DOI). DOI link will become active after the article will be included in the complete issue. *********

scholarly journals Comparação entre métodos não destrutivos de estimativa da área foliar em café arábica / Comparison among non-destructive methods of leaf area estimation in arabica coffee

2020 ◽  
Vol 3 (4) ◽  
pp. 2819-2828
Author(s):  
Dyanna Rangel Pereira ◽  
André Dominghetti Ferreira ◽  
José Antônio Maior Bono ◽  
Denise Renata Pedrinho ◽  
Luan Silva do Nascimento
Keyword(s):  
Leaf Area ◽  
Arabica Coffee ◽  
Area Estimation ◽  
Non Destructive ◽  
Destructive Methods

Non-destructive leaf area estimation in banana

1991 ◽  
Vol 45 (3-4) ◽  
pp. 251-254 ◽  
Author(s):  
M.V. Potdar ◽  
K.R. Pawar
Keyword(s):  
Leaf Area ◽  
Area Estimation ◽  
Non Destructive

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 A Simple, Cost-Effective Method for Leaf Area Estimation

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
S. K. Pandey ◽  
Hema Singh
Keyword(s):  
Leaf Area ◽  
Cost Effective ◽  
Botanical Garden ◽  
Area Estimation ◽  
Graph Paper ◽  
Cost Effective Method ◽  
Cost Effective Alternative ◽  
Cost Efficient ◽  
Non Destructive ◽  
Paper Method

Easy, accurate, inexpensive, and nondestructive methods to determine individual leaf area of plants are a useful tool in physiological and agronomic studies. This paper introduces a cost-effective alternative (called here millimeter graph paper method) for standard electronic leaf area meter, using a millimeter graph paper. Investigations were carried out during August–October, 2009-2010, on 33 species, in the Botanical garden of the Banaras Hindu University at Varanasi, India. Estimates of leaf area were obtained by the equation, leaf area (cm2) = x/y, where x is the weight (g) of the area covered by the leaf outline on a millimeter graph paper, and y is the weight of one cm2 of the same graph paper. These estimates were then compared with destructive measurements obtained through a leaf area meter; the two sets of estimates were significantly and linearly related with each other, and hence the millimeter graph paper method can be used for estimating leaf area in lieu of leaf area meter. The important characteristics of this cost-efficient technique are its easiness and suitability for precise, non-destructive estimates. This model can estimate accurately the leaf area of plants in many experiments without the use of any expensive instruments.

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