Diallel Analysis of Leaf Shape Variations of Citrus Varieties Based on Elliptic Fourier Descriptors.

Iwata, Hiroyoshi; Nesumi, Hirohisa; Ninomiya, S.; Takano, Yasushi; Ukai, Yasuo

doi:10.1270/jsbbs.52.89

Cited by 55 publications

(32 citation statements)

References 28 publications

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“…Ten branches were randomly sampled from the periphery of the crown of each tree. We excluded the leaves at the first position at the tip and those at the basal third of the branches, which were found to have the greatest within-tree variations in a preliminary analysis (Iwata et al 1994). Hereafter, we refer to this data set as set A.…”

Section: Plant Materialsmentioning

confidence: 99%

The Evaluation of Genotype * Environment Interactions of Citrus Leaf Morphology Using Image Analysis and Elliptic Fourier Descriptors.

et al. 2002

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Variations of leaf form, i.e., differences in shape and size, among citrus varieties and the genotype × environment (GE) interactions influencing the variations were examined. Leaf shape was quantitatively measured by the score of the principal components of elliptic Fourier descriptors (EFDs). Leaf size was measured in terms of area and perimeter. The first four principal components of EFDs, which could explain over 90 % of the shape variations, were good measures of the length to width ratio, the position of the center of gravity, the curvature, and the degree of roundness. Nested ANOVA for the leaf form variations in nine citrus varieties indicated that the variations accounted for by the 1st, 2nd and 4th components were inherited. GE interaction of the leaf form was investigated using the data appertaining to seven genotypes from eight locations; the interaction was significant for all the principal components examined except the third. Although the interaction fitted very poorly to a joint linear regression analysis model developed from the data, it was effectively explained by an additive main effect and multiplicative interaction model where the score of the interaction principal component was highly correlated with the stability indices. Our results suggest that the genotype was the main source of variation in leaf shape, but not in size, and that the contribution of GE interaction was minor to both shape and size, although statistically significant at the 1 % probability level.

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Section: Plant Materialsmentioning

confidence: 99%

The Evaluation of Genotype * Environment Interactions of Citrus Leaf Morphology Using Image Analysis and Elliptic Fourier Descriptors.

et al. 2002

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“…This allows the user to replace one or more parameters with well-chosen constants, effectively finetuning the model for the leaves in question. In comparison to other methods, this model provides the advantage of being able to describe multivalued function shapes (as opposed to polynomials (Fournier et al 2003), smoothing splines (Mündermann et al 2005;Henke et al 2014) or hermit curves (Henke et al 2014)) with high flexibility (as opposed to Bézier curves (Chi et al 2003)) and a relatively low amount of diagnostic parameters (as opposed to elliptic Fourier analysis (Iwata et al 2002;Neto et al 2006)). …”

Section: Discussionmentioning

confidence: 99%

“…Another way to obtain geometric descriptors of leaf shape is by contour-fitting techniques, of which elliptic Fourier analysis (Iwata et al 2002;Neto et al 2006) allows near-perfect description of the leaf contour. However, the accuracy of this approach depends on the number of harmonics (h) used, resulting in 4h -3 parameters.…”

Section: Introductionmentioning

confidence: 99%

“…However, the accuracy of this approach depends on the number of harmonics (h) used, resulting in 4h -3 parameters. A typical approximation uses the first 20 (Iwata et al 2002) or 30 (Neto et al 2006) harmonics resulting in 77 or 117 (non-functional) parameters, respectively. While this imposes no limitations for multivariate analysis, such a number of parameters are not practically applicable for plant and tree models (Henke et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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A flexible geometric model for leaf shape descriptions with high accuracy

Coussement¹,

Steppe²,

Lootens³

et al. 2018

Silva Fenn.

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I., De Swaef T. (2018). A flexible geometric model for leaf shape descriptions with high accuracy. Silva Fennica vol. 52 no. 2 article id 7740. 14 p. https://doi.org/10.14214/sf.7740 Highlights• A method for assessing leaf shape for 3D plant models is proposed.• The model is highly flexible and fits a large variety of shapes.• It allows analysis of shape differences within and between leaf datasets. AbstractAccurate assessment of canopy structure is crucial in studying plant-environment interactions. The advancement of functional-structural plant models (FSPM), which incorporate the 3D structure of individual plants, increases the need for a method for accurate mathematical descriptions of leaf shape. A model was developed as an improvement of an existing leaf shape algorithm to describe a large variety of leaf shapes. Modelling accuracy was evaluated using a spatial segmentation method and shape differences were assessed using principal component analysis (PCA) on the optimised parameters. Furthermore, a method is presented to calculate the mean shape of a dataset, intended for obtaining a representative shape for modelling purposes. The presented model is able to accurately capture a large range of single, entire leaf shapes. PCA illustrated the interpretability of the parameter values and allowed evaluation of shape differences. The model parameters allow straightforward digital reconstruction of leaf shapes for modelling purposes such as FSPMs.

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“…Images of the tepals can be stored in a database and used as Besides the use of this method for DUS testing, the derived quantitative colour data can be applied to quantitative genetics for inheritance studies. Iwata et al (2002) state that variations are generally continuous necessitating quantitative measurements for the genetic analysis. As such, image analysis has an important role as an objective ''expert'' in colour determination.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the tepal colour of Begonia x tuberhybrida Voss. for DUS testing using image analysis

Lootens¹,

Waes²,

Carlier³

2006

Euphytica

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In the framework of variety testing, evaluation of the flower of Begonia x tuberhybrida Voss. is done by experts. The colours of the flowers are compared with the RHS colour chart. For each flower colour a code is given. This method has several disadvantages (data cannot be statistically analyzed with standard ANOVA techniques, bias by the expert is possible, difficult measurement depending on the light environment,...) that can be overcome with image analysis. In this study several parameters were tested to distinguish the different varieties. Varieties were split in different colour groups (white, red and yellow-orange) and parameters were analyzed. Parameters based on the green colour plain of the RGB colour space resulted in the largest discriminating power. Parameters based on the HSV colour space performed less well.

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Diallel Analysis of Leaf Shape Variations of Citrus Varieties Based on Elliptic Fourier Descriptors.

Cited by 55 publications

References 28 publications

The Evaluation of Genotype * Environment Interactions of Citrus Leaf Morphology Using Image Analysis and Elliptic Fourier Descriptors.

The Evaluation of Genotype * Environment Interactions of Citrus Leaf Morphology Using Image Analysis and Elliptic Fourier Descriptors.

A flexible geometric model for leaf shape descriptions with high accuracy

Evaluation of the tepal colour of Begonia x tuberhybrida Voss. for DUS testing using image analysis

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