Calibration and validation of regression model for non-destructive leaf area estimation of saffron (Crocus sativus L.)

Abstract. Lakitan B, Kartika K, Widuri LI, Siaga E, Fadilah LN. 2021. Lesser-known ethnic leafy vegetables Talinum paniculatum grown at tropical ecosystem: Morphological traits and non-destructive estimation of total leaf area per branch. Biodiversitas 22: 4487-4495. Talinum paniculatum known as Java ginseng is an ethnic vegetable in Indonesia that has also been utilized as a medical plant. Young leaves are the primary economic part of T. paniculatum, which can be eaten fresh or cooked. This study was focused on characterizing morphological traits of T. panicultaum and developing a non-destructive yet accurate and reliable model for predicting total area per leaf cluster on each elongated branch per flush growth cycle. The non-destructive approach allows frequent and timely measurements. In addition, the developed model can be used as guidance for deciding the time to harvest for optimum yield. Results indicated that T. paniculatum flourished rapidly under wet tropical conditions, especially if they were propagated using stem cuttings. The plants produced more than 50 branches and more than 800 leaves, or on average produced more than 15 leaves per branch at the age of nine weeks after planting (WAP). The zero-intercept linear model using a combination of two traits of length x width (LW) as a predictor was accurate and reliable for predicting a single leaf area (R2 = 0.997). Meanwhile, the estimation of total area per leaf cluster was more accurate if three traits, i.e., number of leaves, the longest leaf, and the widest leaf in each cluster were used as predictors with the zero-intercept linear regression model (R2 = 0.984). However, the use of a single trait of length (L) and width (W) of the largest leaf within each cluster as a predictor in the power regression model exhibited moderately accurate prediction at the R2 = 0.883 and 0.724, respectively.

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Simplifying procedure for a non-destructive, inexpensive, yet accurate trifoliate leaf area estimation in snap bean (Phaseolus vulgaris)

Journal of Applied Horticulture ◽

10.37855/jah.2017.v19i01.03 ◽

2017 ◽

Vol 19 (01) ◽

pp. 15-21 ◽

Cited By ~ 2

Author(s):

Benyamin Lakitan ◽

Laily Ilman Widuri ◽

Mei Meihana

Keyword(s):

Phaseolus Vulgaris ◽

Leaf Area ◽

Trifoliate Leaf ◽

Snap Bean ◽

Area Estimation ◽

Non Destructive

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

Brazilian Journal of Biology ◽

10.1590/1519-6984.09813 ◽

2015 ◽

Vol 75 (1) ◽

pp. 152-156 ◽

Cited By ~ 8

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.

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A Simple, Cost-Effective Method for Leaf Area Estimation

Journal of Botany ◽

10.1155/2011/658240 ◽

2011 ◽

Vol 2011 ◽

pp. 1-6 ◽

Cited By ~ 44

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

Peruvian Journal of Agronomy ◽

10.21704/pja.v2i2.1133 ◽

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

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Non-destructive Leaf Area Estimation of Tomato Using Mobile LiDAR Laser Scanner

10.1109/metroagrifor52389.2021.9628782 ◽

2021 ◽

Author(s):

Kowshik Kumar Saha ◽

Cornelia Weltzien ◽

Manuela Zude-Sasse

Keyword(s):

Leaf Area ◽

Laser Scanner ◽

Area Estimation ◽

Non Destructive

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

Journal of Agricultural Studies ◽

10.5296/jas.v8i3.16299 ◽

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).

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