Literature DB >> 34211062

Analysis of the physical properties of spindle seeds for seed sorting operations.

Zdzisław Kaliniewicz1, Andrzej Anders2, Piotr Markowski2, Paweł Tylek3, Danuta Owoc3.   

Abstract

The relationships between the basic physical properties of seeds of selected spindle species were evaluated for the needs of seed sorting operations. Physical properties were measured in the seeds of five spindle species, and the presence of relationships between these attributes was determined in correlation and regression analyses. The average values of the evaluated parameters were determined in the following range: terminal velocity-from 9.2 to 10.3 m s-1, thickness-from 2.57 to 3.26 mm, width-from 2.87 to 3.74 mm, length-from 3.94 to 5.52 mm, angle of external friction-from 20.7° to 24.6°, mass-from 16.5 to 33.8 mg. Spindle seeds were arranged in the following ascending order based on their geometric mean diameter: winged spindle, Hamilton's spindle, large-winged spindle, broadleaf spindle and European spindle. Spindle seeds should be separated in a sieve equipped with at least two mesh screens with slotted apertures. Depending on the processed spindle species, aperture size should range from ≠ 2.7 to ≠ 3.5 mm in the top screen, and from ≠ 2.4 to ≠ 3.0 mm in the bottom screen.

Entities:  

Year:  2021        PMID: 34211062     DOI: 10.1038/s41598-021-93166-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  2 in total

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Authors:  Karolien P B Van den Bergh; Pierre Rougé; Paul Proost; Jozef Coosemans; Tanya Krouglova; Yves Engelborghs; Willy J Peumans; Els J M Van Damme
Journal:  Planta       Date:  2004-03-27       Impact factor: 4.116

2.  Variation and inheritance pattern in cone and seed characteristics of Scots pine (Pinus sylvestris L.) for evaluation of genetic diversity.

Authors:  Hakan Sevik; Osman Topaçoğlu
Journal:  J Environ Biol       Date:  2015-09
  2 in total
  1 in total

1.  Robust seed germination prediction using deep learning and RGB image data.

Authors:  Yuval Nehoshtan; Elad Carmon; Omer Yaniv; Sharon Ayal; Or Rotem
Journal:  Sci Rep       Date:  2021-11-11       Impact factor: 4.379

  1 in total

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