scholarly journals Analysis of the grapevine (Vitis vinifera L.) berry shape by using elliptic Fourier descriptors

2020 ◽  
Author(s):  
P. Bodor ◽  
E. Somogyi ◽  
L. Baranyai ◽  
J. Lázár ◽  
B. Bálo
Keyword(s):  
Principal Component ◽  
Morphological Diversity ◽  
Table Grape ◽  
Vitis Vinifera L ◽  
Fourier Descriptors ◽  
Elliptic Fourier Analysis ◽  
Significant Difference ◽  
Grapevine Berry ◽  
Bottom Width ◽  
Elliptic Fourier Descriptors

AbstractGrapevine berry shape has important marketing value in the table grape commerce, hence variability evaluation of this characteristic is highly important. In this study berry shape of 5 table grape genotypes: “Fanny”, “Lidi”, “Hamburgi muskotály”, “Moldova”, and “Orsi” were compared. To evaluate the shape variability graphic reconstruction and elliptic Fourier analysis have been carried out. Shape outlines have been investigated and Principal Component Analysis (PCA) has been performed with the SHAPE software package. PCA of the contours showed that 6 out of the 77 principal components were effective to describe shape attributes. The first 6 PCs explained 94.51% of the total variance. PC1 associated with the width and length of the berry. PC2 related to the shape of the top and bottom of the berries, while PC3 linked to the ratio of the top and the bottom width. ANOVA of the principal component scores revealed significant difference among the genotypes. Results suggest that morphology of the berry is a variable not only among but within the accessions. Our findings confirmed that elliptic Fourier descriptors (EFDs) would be a powerful tool for quantifying grapevine berry morphological diversity.

Elliptic Fourier analysis and perceptual matching for the evaluation of bioinspired sketching in conceptual design

2017 ◽  
Vol 32 (1) ◽  
pp. 92-107
Author(s):  
Zhongliang Yang ◽  
Yumiao Chen ◽  
Zheng Liu
Keyword(s):  
Principal Component Analysis ◽  
Conceptual Design ◽  
Pearson Correlation ◽  
Principal Component ◽  
Component Analysis ◽  
Fourier Descriptors ◽  
Elliptic Fourier Analysis ◽  
Elliptic Fourier Descriptors ◽  
Matching Degree ◽  
Perceptual Matching

AbstractBiologically inspired design can be used to aid in conceptual design. Sketching is an important ideation process in conceptual design for recording and evaluating flashing moments of inspiration. The present study aims to provide a framework for exploring the effects of biological examples on the sketching contours of products, as well as the perceptual matching degree between design ideas generated via sketching and the desired functions. Elliptic Fourier descriptors with principal component analysis and perceptual matching were used to evaluate and compare the effects of biological examples, no examples, and human-engineered examples from different product categories and within one product category on the sketches in an experiment that involved 28 participants. The application of elliptic Fourier descriptors with principal component analysis shows that there are significant differences in the third and seventh principal components. It is also found that exposure to biological examples can produce more sketches with high perceptual matching degree than the other three conditions, but there are no significant effects of the example exposure on the Pearson correlation coefficients of semantic differential evaluation value vectors between design problems and sketches. These results demonstrate that exposure to biological examples will correlate with Elliptic Fourier descriptors of sketches and will not significantly increase the perceptual matching degree between sketches and the desired function.

scholarly journals Digital Morphometrics: A Tool for Leaf Morpho- Taxonomical Studies

2021 ◽  
Vol 1 (2) ◽  
pp. 1-7
Author(s):  
Kavi K. Oza ◽  
Rinku J. Desai ◽  
Vinay M. Raole*
Keyword(s):  
Principal Component Analysis ◽  
Abiotic Factors ◽  
Leaf Shape ◽  
Principal Component ◽  
Component Analysis ◽  
Herbarium Specimens ◽  
Fourier Descriptors ◽  
Shape Variation ◽  
Quantitative Analysis Method ◽  
Elliptic Fourier Descriptors

Leaves are most important part of the plant and can be used for the identification of a taxon. An appropriate understanding of leaf development in terms of shape and responsible abiotic factors is necessary for improvement in plant. Leaf shape variation could be evaluated successfully, and the symmetrical and asymmetrical elements of the overall shape variation could be detected. The aim of the present study was to establish a quantitative analysis method of leaf shape by elliptic Fourier descriptors and principal component analysis (EF-PCA). EF-PCA describes an overall shape mathematically by transforming coordinate information concerning its contours into elliptic Fourier descriptors (EFDs) and summarizing the EFDs by principal component analysis. We can be able to extract six variables by using leaf specimen images from field and herbarium specimens. In the present study, total leaf area with respect to notch area is more variable within species. Within a species the major source of the symmetrical elements may be governed by genotypic features and the asymmetrical elements are strongly affected by the environment. We could discuss the value of morphometrics to detect subtle morphological variation which may be undetectable by human eye.

scholarly journals The phytochemical and morphological diversity analysis of Ziziphus nummularia (Burm.f.) Wight & Arn. populations in South of Iran

2020 ◽  
Vol 48 (2) ◽  
pp. 588-603
Author(s):  
Kourosh ZANDIFAR ◽  
Hassanali NAGHID BADI ◽  
Ali MEHRAFARIN ◽  
Majid G. NOHOOJI
Keyword(s):  
Wild Population ◽  
Principal Component ◽  
Morphological Diversity ◽  
Hierarchical Cluster ◽  
Leaf Length ◽  
Wild Populations ◽  
Significant Difference ◽  
In The Wild ◽  
Ziziphus Nummularia ◽  
High Diversity

Ziziphus nummularia is a multipurpose and tropical tree with medicinal, nutritional, industrial, and economic values. This tree, which belongs to the Rhamnaceae family, is originated from the South of Asia and North of Africa. This research was carried out to investigate the phytochemical and morphological diversity of 20 wild populations collected from different Southern regions of Iran. Statistical significant difference ranges between population were found in respect to saponin of the leaf (2.2-5.4 mg/g) and fruit (1.2-3.2 mg/g), phenol of the leaf (0.7-2.9 mg/g) and fruit (0.03-0.4 mg/g), tannin of the leaf (0.8-3.5 mg/g) and fruit (1.5-1.7 mg/g), and flavonoid of the leaf (3.3-4.3 mg/g) and fruit (1.5-2.4 mg/g). A factor analysis based on principal component analysis (PCA) revealed that the first three components (PC1-PC3) explain 79.04% of total variations. The first component (PC1) is explained by the most important traits of the PCA coefficient such as the leaf saponin, width of the end leaf, fruit saponin, length of the end leaf, leaf length and width, and leaf phenol with 42% of the total variation. Hierarchical cluster analysis divided the populations into four main groups with high diversity. In general, the Izeh Tarakab population had the highest content of leaf and fruit saponin. The content of leaf and fruit saponin as the major secondary metabolite could be a good determinant for detecting diversity in the wild population of Z. nummularia.

Discrimination of the species of the Crassiphycus corneus/C. usneoides complex (Gracilariaceae, Rhodophyta) through geometric morphometric analysis

Nova Hedwigia ◽  
2019 ◽  
Vol 109 (3) ◽  
pp. 291-301 ◽  
Author(s):  
Martha Isabel Vilchis ◽  
Jiri Neustupa ◽  
Kurt Dreckmann ◽  
Alejandra Quintanar ◽  
Abel Sentíes
Keyword(s):  
Principal Component Analysis ◽  
Morphometric Analysis ◽  
Principal Component ◽  
Fourier Descriptors ◽  
Cortical Cells ◽  
Geometric Morphometric ◽  
Phenotypic Differences ◽  
Geometric Morphometric Analysis ◽  
Elliptic Fourier Descriptors ◽  
Manova Analysis

The results of the discrimination by geometric morphometry of the species within the Crassiphycus corneus/C. usneoides complex is presented, from the shape of its cortical, subcortical and medullary cells in the apical, medium and basal portions of thallus. Principal component analysis, based on the elliptic Fourier descriptors of cellular outline shapes and NP-MANOVA analysis, show that only the cortical cells in the medium portion were significantly wider in C. corneus than in C. usneoides. The isoperimetric quotients (Q) indicated that these cells were significantly more circular in C. corneus than in C. usneoides. We conclude that the outline analyses efficiently recovered phenotypic differences between the species defined by molecular systematics and considered to be cryptic, so far.

scholarly journals ArabidopsisGrowth Simulation Using Image Processing Technology

2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Junmei Zhang ◽  
Qiuhong Ke ◽  
Ye Tian
Keyword(s):  
Growth Stage ◽  
Growth Parameters ◽  
Outer Boundary ◽  
Local Maximum ◽  
Fourier Descriptors ◽  
Segmentation Result ◽  
Elliptic Fourier Analysis ◽  
Number Of Leaves ◽  
Elliptic Fourier Descriptors ◽  
Distance Signal

This paper aims to provide a method to represent the virtualArabidopsisplant at each growth stage. It includes simulating the shape and providing growth parameters. The shape is described with elliptic Fourier descriptors. First, the plant is segmented from the background with the chromatic coordinates. With the segmentation result, the outer boundary series are obtained by using boundary tracking algorithm. The elliptic Fourier analysis is then carried out to extract the coefficients of the contour. The coefficients require less storage than the original contour points and can be used to simulate the shape of the plant. The growth parameters include total area and the number of leaves of the plant. The total area is obtained with the number of the plant pixels and the image calibration result. The number of leaves is derived by detecting the apex of each leaf. It is achieved by using wavelet transform to identify the local maximum of the distance signal between the contour points and the region centroid. Experiment result shows that this method can record the growth stage ofArabidopsisplant with fewer data and provide a visual platform for plant growth research.

scholarly journals Colour of grapevine (Vitis vinifera L.) accessions influenced by the length of cold storage

2020 ◽  
Author(s):  
E. Somogyi ◽  
J. Lázár ◽  
P. Bodor ◽  
T. Kaszab
Keyword(s):  
Cold Storage ◽  
Agricultural Research ◽  
Germplasm Collection ◽  
Storage Period ◽  
Table Grape ◽  
Vitis Vinifera L ◽  
Phenotypic Characters ◽  
Research And Innovation ◽  
Significant Difference

AbstractColour is one of the most important phenotypic characters of the table grape cultivars, which has high importance in the consumer's preference. This morphological trait is variable and not consistently uniform within a cultivar or even a bunch. Between harvest and consumption fruits are stored for several weeks which time is influencing the colour of the berry. In this study 10 grapevine accessions (Agaphante, KM98, Korai piros veltelini, Korona, Pinot gris, Pozsonyi, Ros de Minis, Tramini piros, T9, Zenit) were collected from the germplasm collection of the Research Institute for Viticulture and Oenology of the National Agricultural Research and Innovation Centre of Kecskemét. The samples were investigated by ColorLite Sph850 spectrophotometer. The colour of 30 berries per accessions were measured in 3 replicates per berry. The aim of this study was to evaluate the colour and the effect of cold storage. L✻, a✻, b✻ values of each accessions were evaluated after the sampling and until a visible reduction in the quality of the grapes, at most 4 weeks with 1-week intervals from the harvest. Results showed that there is a significant difference among the cultivars in the L∗, a∗, b∗ values. The length of cold storage also has a significant effect on the colour of the accessions as the values are changing in some cases of the 1-week storage period.

scholarly journals Inhibition of Kynurenine Metabolism and Its Effect in Mitochondrial Function in Hepatocellular Carcinoma

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 124-125
Author(s):  
Raul Castro-Portuguez ◽  
Samuel Freitas ◽  
George Sutphin
Keyword(s):  
Hepatocellular Carcinoma ◽  
Mitochondrial Function ◽  
De Novo ◽  
Principal Component ◽  
Kynurenine Pathway ◽  
The Cancer Genome Atlas ◽  
Wilcoxon Test ◽  
Nad Synthesis ◽  
Significant Difference ◽  
Kynurenine Metabolism

Abstract Hepatocellular carcinoma (HCC) is the most prevalent cancer in the liver. The majority of ingested tryptophan is processed in the liver through the kynurenine pathway, the endpoint of which is de novo NAD+ biosynthesis. Dysregulation of tryptophan-kynurenine metabolism and NAD+ synthesis may promote mitochondrial malfunction, tumor reprogramming, and carcinogenesis. Using a publicly available gene expression dataset from liver hepatocellular carcinoma (LIHC) samples available through The Cancer Genome Atlas (TCGA; n = 371), we employed Principal Component Analysis (PCA), hierarchical clustering, gene-pattern expression profiling, and survival analysis to cluster patients and determine overall survival. Our analysis of genes encoding kynurenine pathway enzymes determined that patients with high QPRT expression had a poor prognosis with decreased median survival, with no effect on the maximum survival. There is a significant difference in the survival between patients with high QPRT expression relative to patients with high HAAO/AFMID expression (HR = 1.2, [95% CI 0.5-1.8] P = 0.0181, Gehan-Breslow-Wilcoxon Test). Patients with high QPRT expression have higher survival rates compared with low QPRT expression (HR = 1.4, [95% CI 0.9-2.2] P = 0.0344, Gehan-Breslow-Wilcoxon Test). To test the consequences of kynurenine-pathway inhibition in mitochondrial function and morphology we use 4-Cl-3HAA, an irreversible HAAO inhibitor, and observed a small increase in mitochondrial fragmentation in HepG2 cells after 24 hours of treatment. We conclude that kynurenine metabolism may be useful as a biomarker to predict patient prognosis among HCC patients. In ongoing work, we are testing QPRT inhibitors in cell culture as a potential adjuvant for chemotherapies.

scholarly journals Development of Performance Evaluation Indicators for Table Grape Packaging Units

2021 ◽  
Vol 13 (4) ◽  
pp. 2177
Author(s):  
Edson Kogachi ◽  
Adonias Ferreira ◽  
Carlos Cavalcante ◽  
Marcelo Embiruçu
Keyword(s):  
Performance Evaluation ◽  
Standard Deviation ◽  
Process Management ◽  
Principal Component ◽  
Table Grape ◽  
Data Envelopment ◽  
Table Grapes ◽  
Speed Performance ◽  
The Cost

In order to improve the process management of table grape packaging, its performance should be evaluated. However, the literature on performance evaluation indicators is scarce. To address this research gap, we propose a method for the development of performance evaluation indicators for table grape packaging units, which are characterized by labor-intensive and highly seasonal production processes in the agro-economic sector. The stages include the following: contextualizing table grape packaging units, selecting the performance objectives, selecting techniques to be used in the development of the indicators, and applying the method to the packaging units of table grapes. The techniques adopted in the development of the indicators aimed at the cost, quality, flexibility, reliability, and speed performance objectives were data envelopment analysis, principal component analysis, quantification of the batch, compliance with the program within the established deadline, and measurement of the execution time of the batch, respectively. The results obtained in the case study demonstrate that the correlations between the performance indicators do not indicate the need to disregard any of them. Furthermore, the standard deviation values for each indicator are similar. Thus, both results of correlations and standard deviation confirm the importance of the indicators chosen for the performance evaluation of table grape packaging.

Description and Quantification of Sexual Dimorphism of Pubic Body Shape in Hispanic Populations Using Elliptic Fourier Analysis

2021 ◽  
Author(s):  
Erica Cantor ◽  
Krista Latham ◽  
Stephen Nawrocki
Keyword(s):  
Fourier Analysis ◽  
North American ◽  
Principal Component ◽  
Pubic Bone ◽  
Biological Traits ◽  
Sex Estimation ◽  
Age At Death ◽  
Elliptic Fourier Analysis ◽  
Hispanic Populations ◽  
Effective Principal

Sex estimation is important in the creation of a biological profile for unidentified human remains, as positive identification cannot occur until the decedent’s biological traits have been determined and the range of possible matches has been narrowed. The pubic bone is cited as one of the best indicators of sex due to the constraints of childbirth. Current methods that use the pubic bone for sex estimation, however, rely on poorly defined and subjective observations that are susceptible to inter-and intraobserver error. Additionally, many of the methods currently in use are based on North American populations and thus may not necessarily model the variation seen in other populations around the globe. The aim of this study is to gain a better understanding of variation in pubic bone shape in Hispanic populations by separating the influences of sex, ancestry, and age at death. A total of 164 pubic bones from North American Hispanic and Chilean individuals were compared to 287 pubic bones from individuals of Euro-American ancestry from North American collections, using Elliptic Fourier analysis (EFA) of photographs, principal component analysis, and ANCOVA. EFA generated five effective principal components that collectively describe approximately 95% of the variation in the shape of the pubic body. Sex, age at death, and ancestry were all found to significantly influence shape but explained only 25% of the overall variation. The remaining 75% is likely influenced by variables that cannot be controlled for in anthropological analysis, underscoring how little variance in skeletal morphology is actually explainable.

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