scholarly journals Biochemical composition and shape-dimensional traits of rosehip genotypes

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Bünyamin Demir ◽  
Bahadır Sayıncı ◽  
Mehmet Yaman ◽  
Ahmet Sümbül ◽  
Ercan Yıldız ◽  
...  
Keyword(s):  
Biochemical Composition ◽  
Paired Comparison ◽  
Geometric Mean ◽  
Fruit Shape ◽  
Image Processing Technique ◽  
Shape Variation ◽  
Elliptic Fourier Analysis ◽  
Projected Area ◽  
Vertical Orientation ◽  
Linear Discriminant

Abstract In the present study, the biochemical composition and shape and dimensional traits of 25 rosehip (Rosa canina) genotypes were investigated. The shape and dimensional traits were determined by image processing technique. Seed-propagated rosehip genotypes belonging to R. canina were collected from the natural flora of Mesudiye (Ordu) and Talas (Kayseri) districts. Antioxidant activity (39.510–72.673 mmol · kg−1), total flavonoids (287.80–1,686.20 mg quercetin equivalent (QE) · kg−1) and total phenolics (38,519.40–79,080.60 mg gallic acid equivalent · kg−1) of the genotypes exhibited large variations. Width (12.2 mm) and thickness (12.5 mm) of fruits averages were found to be close to each other. The genotypes exhibited fruit lengths between 12.0 mm and 29.5 mm. Average projected area at horizontal orientation (179.7 mm2) was greater than the projected area at vertical orientation (120.4 mm2). Sphericity average was calculated as 71.4%. According to principal component (PC) analysis, the most important dimensional traits discriminating genotypes from each other were identified as surface area, geometric mean diameter and volume. In terms of shape attributes, distinctive differences were observed in sphericity, circularity, elongation and surface closure rates (SCR) of the genotypes. According to elliptic Fourier analysis (EFA), genotypes look like a sphere. In terms of shape, there were long, spherical, flat bottomed, pointed bottomed and asymmetric-looking genotypes indicating how environment and genotype affect the fruit shape. The greatest shape variation was transverse contraction and expansion. According to the clustering analysis for shape attributes, rosehip genotypes were classified into six groups. Dendrogram, scatter plots of linear discriminant analysis and paired comparison test results put forth the shape differences of the genotype successfully.

scholarly journals Morphological Characteristics of Grapevine Cultivars and Closed Contour Analysis with Elliptic Fourier Descriptors

Plants ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1350
Author(s):  
Muhammed Kupe ◽  
Bahadır Sayıncı ◽  
Bunyamin Demir ◽  
Sezai Ercisli ◽  
Mojmir Baron ◽  
...  
Keyword(s):  
Image Processing ◽  
Water Drop ◽  
Geometric Mean ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Plant Morphology ◽  
Elliptic Fourier Analysis ◽  
Contour Analysis ◽  
Linear Discriminant ◽  
Grape Cultivars

Morphology is the most visible and distinct character of plant organs and is accepted as one of the most important tools for plant biologists, plant breeders and growers. A number of methods based on plant morphology are applied to discriminate in particular close cultivars. In this study, image processing analysis was used on 20 grape cultivars (“Amasya beyazı“, “Antep karası“, “Bahçeli karası”, “Çavuş“, “Cevşen“, “Crimson“, “Dimrit“, “Erenköy beyazı“, “Hafızali“, “Karaşabi“, “Kırmızı“, “İzabella (Isabella) “, “Morşabi“, “Müşgüle“, “Nuniya“, “Royal“, “Sultani çekirdeksiz (Sultanina)“, “Yalova incisi“, “Yerli beyazv“, “Yuvarlak çekirdeksiz“) to classify them. According to image processing analysis, the longest and the greatest projected area values were observed in “Antep karası“ cultivar. The “Sultani çekirdeksiz“ cultivar had the least geometric mean diameter. The greatest sphericity ratios were observed in “Yerli beyaz“, “Erenköy beyazı“ and “Amasya beyazı“ cultivars. According to principal component analysis, dimensional attributes were identified as the most significant source of variation discriminant grape cultivars from each other. Morphological differences between the cultivars were explained by sphericity and elongation variables. According to elliptic Fourier analysis (EFA) results, grape morphology largely looks like ellipse and sphere. However, there are some cultivars that look similar to a water drop. The cultivars with similar morphology were identified by a pair-wise comparison test conducted with the use of linear discriminant analysis, and they were presented in a scatter plot. According to cluster analysis, present grape cultivars were classified into seven sub-groups, which indicated great diversity.

Abstract 12471: Optimal Prediction of Atrial Fibrillation Recurrence After Ablation: A Computational Anatomy Study

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Marta Varela ◽  
Felipe Bisbal ◽  
Ernesto Zacur ◽  
Esther Guiu ◽  
Antonio Berruezo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrial ◽  
Complete Characterization ◽  
Statistical Shape Model ◽  
Patient Specific ◽  
Shape Variation ◽  
Global Features ◽  
Linear Discriminant ◽  
Af Ablation ◽  
Statistical Shape

Background: Left atrial structural remodelling, assessed by left atrial (LA) sphericity or antero-posterior diameter, has been shown to predict recurrence after atrial fibrillation (AF) ablation. The study aimed to perform a computational shape analysis of the LA to quantitatively characterise the LA shape remodelling process and identify metrics that optimally predict recurrence. Methods: Pre-procedural bright-blood MRIs of the LA of patients undergoing AF ablation were segmented. Patient-specific smooth 3D meshes were fitted to the segmentations. A statistical shape model of the LA was created and the global features underpinning the observed shape variation extracted as principal components (PCs). PCs were optimally combined to create non-empirical atlas-based metrics using linear discriminant analysis. Meshes depicting mean and extreme recurrent and non-recurrent LA shapes were also synthetized. The capability of different metrics to predict recurrence was evaluated using the area under the ROC curve (AUC) of a leave 1 out cross validation test. Results: In total, 111 patients were included. At 12 months follow-up, LA sphericity was the best predictor of recurrence (AUC: 0.66) over novel atlas-based metrics (AUC: 0.65). At 24 months, atlas-based metrics were the best predictors of recurrence (AUC: 0.66), outperforming a combination of sphericity and volume (AUC: 0.64), sphericity alone (AUC: 0.63) and any other traditional metric. Conclusions: Novel atlas-based metrics improve the prediction of recurrence at 2 years post-AF ablation. They allow a more complete characterization of the LA shape remodelling process, for example by allowing the synthesis of recurrent and non-recurrent LA shapes, which may contribute to patient stratification for AF ablation.

Physical properties of kumquat fruit

2013 ◽  
Vol 27 (1) ◽  
pp. 107-109 ◽  
Author(s):  
F. Jaliliantabar ◽  
A.N. Lorestani ◽  
R. Gholami
Keyword(s):  
Mechanical Properties ◽  
Moisture Content ◽  
Physical Properties ◽  
Elasticity Modulus ◽  
Geometric Mean ◽  
Rupture Force ◽  
Projected Area ◽  
Initial Rupture ◽  
Mean Diameter ◽  
Mass Volume

Abstract Some physical properties of kumquat were investigated. Physical properties which were measured included fruit dimensions, mass, volume, projected area, density, geometric mean diameter, sphericity and surface area. Bulk density, porosity and also packaging coefficient were calculated. Mechanical properties such as the elasticity modulus, rupture force and energy required for initial rupture have been determined. The experiments were carried out at moisture content of 82.6% (w.b.). The results show that the kumquat fruit is one of the smallest fruit in the citrus family.

Fruit shape variation in Fraxinus mandshurica var. japonica characterized using elliptic Fourier descriptors and the effect on flight duration

2005 ◽  
Vol 20 (6) ◽  
pp. 733-738 ◽  
Author(s):  
Susumu Goto ◽  
Hiroyoshi Iwata ◽  
Shinsaku Shibano ◽  
Kazumi Ohya ◽  
Akira Suzuki ◽  
...  
Keyword(s):  
Fruit Shape ◽  
Fourier Descriptors ◽  
Shape Variation ◽  
Fraxinus Mandshurica ◽  
Flight Duration ◽  
Elliptic Fourier Descriptors

Physico-mechanical Properties and Colour Characteristics of Apple as Affected by Methyl Jasmonate Treatments

2012 ◽  
Vol 8 (1) ◽  
Author(s):  
Ebubekir Altuntas ◽  
Burhan Ozturk ◽  
Yakup Özkan ◽  
Kenan Yildiz
Keyword(s):  
Mechanical Properties ◽  
Methyl Jasmonate ◽  
Geometric Mean ◽  
B Value ◽  
Fruit Removal ◽  
Projected Area ◽  
Mean Diameter ◽  
Rubber Surface ◽  
Hue Angle ◽  
Fruit Mass

Physical (geometric, volumetric and colour) and mechanical properties of apple (cv. Fuji) as affected by Methyl Jasmonate treatments were analyzed. Geometric mean diameter, fruit mass, sphericity and surface area ranged from 71.36 to 69.97 mm, 196.53 to 194.83 g, 1.126 to 1.129, and 161.32 to 158.11 cm2 with MeJA doses, respectively. The bulk and fruit densities varied from 383.65 to 364.22 kg/m3 and from 967.96 to 954.63 kg/m3, with MeJA treatments. L*, a*, b* value of skin apple changed from 50.76 to 46.89, from 28.06 to 30.35, and from 24.58 to 22.43, respectively with MeJA doses. The skin and flesh firmnesses varied from 101.49 to 112.60 N and 74.18 to 72.71 N, respectively. The sphericity and projected area increased with MeJA doses used. As the MeJA doses increased, the bulk and fruit densities decreased, whereas volume increased. L*, b* and hue angle characteristics of skin apple were found to decrease, whereas a* was found to increase with MeJA doses. The fruit-removal-force was decreased linearly with increasing MeJA doses. The rubber surface offered the maximum friction followed by plywood and galvanized metal for MeJA doses.

scholarly journals Geometric morphometry of pupae to identify four medically important flies (Order: Diptera) in Thailand

2019 ◽  
Vol 20 (6) ◽  
Author(s):  
TANAWAT CHAIPHONGPACHARA ◽  
PATCHARAPRON TUBSAMUT
Keyword(s):  
Fourier Coefficients ◽  
Principal Component ◽  
Future Application ◽  
Size Analysis ◽  
Size Estimation ◽  
Shape Variation ◽  
Elliptic Fourier Analysis ◽  
Geometric Morphometric ◽  
Significance Level ◽  
Geometric Morphometry

Abstract. Chaiphongpachara T, Tubsamut P. 2019. Geometric morphometry of pupae to identify four medically important flies (Order: Diptera) in Thailand. Biodiversitas 20: 1504-1509. In this study, we evaluated an outline-based geometric morphometric (GM) approach for species identification from pupae of four common flies medically important in Thailand, Chrysomya megacephala, Lucilia cuprina, Musca domestica, and Boettcherisca nathani. For size estimation, mean perimeter length was used. For shape analysis, Elliptic Fourier Analysis was performed to produce the contour shape variables, which was calculated as Normalised Elliptic Fourier coefficients. Then, principal component analysis was performed on the Normalized Fourier coefficients for discriminant analysis, and used to estimate pupal shape variation among the species. The difference in size and shape between the fly species was analyzed using a non-parametric test based on 1000 permutations after Bonferroni correction for the significance level (p < 0.05). In the size analysis, the mean perimeter length for pupae of B. nathani was the largest (20.35 mm) followed by C. megacephala (14.73 mm), while that for M. domestica was the smallest (11.82 mm). The size differences were statistically significant between all species (p < 0.05). The contour shapes of all pupae were significantly different among all species. The results of this study can be used as a basis for the future application of GM to identify other types of flies via their pupae.

scholarly journals Fruit Shape Analysis of Vitis Using Digital Photography

HortScience ◽  
2008 ◽  
Vol 43 (3) ◽  
pp. 677-680 ◽  
Author(s):  
Andrew P. Wycislo ◽  
John R. Clark ◽  
Douglas E. Karcher
Keyword(s):  
Shape Factor ◽  
Rating Scales ◽  
Fruit Shape ◽  
Grape Berry ◽  
Small Samples ◽  
Subjective Rating ◽  
Shape Variation ◽  
Phenotypic Data ◽  
Axis Ratio ◽  
Table Grapes

Quantifying fruit shape is challenging, particularly when measurements are made on segregating populations of plants. Objective manual measurements can be performed on small samples of fruit, but this method is difficult and very time-consuming when dealing with larger samples or when shapes are complex or shape variations are slight. Subjective rating scales can also be used, but their effectiveness is questionable when done by multiple raters resulting from varying descriptive standards among individuals. Therefore, a method was developed to analyze digital images containing multiple fruits to characterize fruit shapes. Each segregant of a population of table grapes (Vitis spp.) with parents of wide shape variation was photographed and analyzed for shape using SigmaScan® software. The program discriminately selected image pixels representing the fruit and determined the area and perimeter of a grape berry, which were subsequently used to calculate the major:minor axis ratio, shape factor, and compactness values. Computer findings were compared with data from human raters using a simple correlation. When compared with the human ratings, results showed strong correlations of r = 0.941 for major:minor axis ratio, r = –0.804 for shape factor, and r = 0.744 for compactness. This analysis method was a reasonably quick and simple way to quantify grape berry shape, yielding valuable phenotypic data in numerical form. This technology should be useful for shape characterizations in other fruits as well.

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