Evidence map›Paper›PMID 41776226›Full record

ArticleScientific reports2026

Physical characterization of cotoneaster seeds to improve sorting efficiency.

Zdzisław Kaliniewicz, Piotr Markowski, Andrzej Anders, Dariusz Choszcz

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zdzisław KaliniewiczDepartment of Vehicles and Machinery, University of Warmia and Mazury in Olsztyn, Oczapowskiego 11, 10-719, Olsztyn, Poland. zdzislaw.kaliniewicz@uwm.edu.pl.
Piotr MarkowskiDepartment of Vehicles and Machinery, University of Warmia and Mazury in Olsztyn, Oczapowskiego 11, 10-719, Olsztyn, Poland.
Andrzej AndersDepartment of Vehicles and Machinery, University of Warmia and Mazury in Olsztyn, Oczapowskiego 11, 10-719, Olsztyn, Poland.
Dariusz ChoszczDepartment of Vehicles and Machinery, University of Warmia and Mazury in Olsztyn, Oczapowskiego 11, 10-719, Olsztyn, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shrubs are an important component of tree stands, particularly in species-poor habitats. Ornamental shrubs have considerable visual and esthetic appeal and are often planted in the vicinity of industrial sites. Flowering shrubs of the genus Cotoneaster belong to this category of plants. The physical attributes of cotoneaster seeds have never been investigated in the literature. Therefore, the aim of this study was to characterize the basic aerodynamic, geometric, frictional, and mass properties of the seeds of selected cotoneaster species and to determine the correlations between these parameters to facilitate seed sorting operations. Physical properties of seeds of five species of cotoneaster (Diels', Hjelmqvist's, hollyberry, showy, and wall) were determined. The strength of the correlations between seed mass and the remaining seed parameters was evaluated. Showy cotoneaster produced the largest seeds and Diel's cotoneaster the smallest. Seed mass was most highly correlated with terminal velocity in Diels', Hjelmqvist's, and wall cotoneaster seeds, whereas the mass of hollyberry and showy cotoneaster seeds was bound by the strongest correlation with seed thickness. These observations indicate that cotoneaster seeds should be divided into uniform fractions with the use of pneumatic separators or mesh sieves with longitudinal openings. These devices can decrease the coefficient of variation of seed mass by around 5% to around 62% in different seed fractions. The variations in seed mass were most effectively reduced in showy cotoneaster (by approx. 57% on average) and least effectively reduced in hollyberry cotoneaster (by approx. 13% on average).

Indexed as

RosaceaeSeedsAttributesCotoneaster Medik.InteractionSeparationVariability

Identifiers

PMID41776226
PMCPMC13068914

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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.