Evidence map›Paper›PMID 34451573›Full record

ArticlePlants (Basel, Switzerland)2021

Multivariate Analysis Approaches for Dimension and Shape Discrimination of

Muhammed Kupe, Bahadır Sayinci, Bünyamin Demir, Sezai Ercisli, Kürşat Alp Aslan, Muhammet Ali Gundesli, Mojmir Baron, Jiri Sochor

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Muhammed KupeDepartment of Horticulture, Faculty of Agriculture, Atatürk University, 25240 Erzurum, Turkey.
Bahadır SayinciDepartment of Mechanical Engineering, Faculty of Engineering, Mersin University, 33340 Mersin, Turkey.ORCID 0000-0001-7148-0855
Bünyamin DemirDepartment of Mechanical Engineering, Faculty of Engineering, Mersin University, 33340 Mersin, Turkey.
Sezai ErcisliDepartment of Horticulture, Faculty of Agriculture, Atatürk University, 25240 Erzurum, Turkey.ORCID 0000-0001-5006-5687
Kürşat Alp AslanDepartment of Improvement and Genetics, Pistachio Research Institute, 27060 Gaziantep, Turkey.
Muhammet Ali GundesliDepartment of Plant and Animal Production, Nurdağı Vocational School, Gaziantep University, 27310 Gaziantep, Turkey.ORCID 0000-0002-7068-8248
Mojmir BaronDepartment of Viticulture and Enology, Faculty of Horticulture, Mendel University, 69144 Lednice, Czech Republic.ORCID 0000-0003-1649-0537
Jiri SochorDepartment of Viticulture and Enology, Faculty of Horticulture, Mendel University, 69144 Lednice, Czech Republic.ORCID 0000-0001-7823-1544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, berry dimensions and shape traits, which are important for the design of the grape processing system and the classification of 10 different grape varieties grown in same ecological conditions ('Ata Sarısı', 'Barış', 'Dımışkı', 'Hatun Parmağı', 'Helvani', 'Horoz Karası', 'Hönüsü', 'İtalia', 'Mevlana Sarısı', and 'Red Globe') were determined; differences between the varieties were identified with the use of discriminant analysis. The largest grape varieties were identified as 'Ata Sarısı' and 'Red Globe'. The 'Red Globe' and 'Helvani' varieties had geometrically sphere-like shape. The 'Barış' variety had the lowest size averages. According to elliptic Fourier analysis, the primary source of shape variation was ellipse and sphere-looking varieties. However, shape variation was seen due to the existence of a small number of drop-like varieties. According to discriminant analysis, shape differences of the varieties were defined by two discriminant functions. Based on these discriminant functions, the greatest classification performance was achieved for 'Mevlana Sarısı' and 'Dımışkı'. In scatter plots, three shape definitions (sphere, ellipse, and drop) were made for grape varieties. Cluster analysis revealed 4 sub-groups. The first sub-group included the 'Mevlana Sarısı' variety; the second sub-group included the 'Hönüsü', 'Hatun Parmağı', 'Dımışkı', and 'Horoz Karası' varieties; the third sub-group included the 'Ata Sarısı' variety; the fourth sub-group included the 'Barış', 'Helvani', 'İtalia', and 'Red Globe' varieties. The variety in the first group had a geometrically ellipse-like shape, the largest length, and the smallest width. The size data were the smallest for the second sub-group. The third sub-group, with the ellipse-like shape, had the large size data. The grape varieties the closest to the sphere were classified in the fourth group, and these varieties had the large sizes.

Indexed as

contour analysiselliptic Fourier analysisphysical characteristicsprojected areasurface area

Identifiers

PMID34451573
PMCPMC8402071

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.