Evidence map›Paper›PMID 39500925›Full record

ArticleScientific reports2024

Non-invasive methods to assess seed quality based on ultra-weak photon emission and delayed luminescence.

Adriano Griffo, Stefanie Sehmisch, Frédéric Laager, Andrea Pagano, Alma Balestrazzi, Anca Macovei, Andreas Börner

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

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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

Who cites it

1 citing paper in PubMed.

  1. Review
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

7 authors.

Adriano GriffoDepartment of Biology and Biotechnology 'L. Spallanzani', University of Pavia, Via Ferrata 9, Pavia, PV 27100, Italy.
Stefanie SehmischLeibniz Institute of Plant Genetics and Crop Plant Research, Corrensstr. 3, Gatersleben, 06466, Seeland, Saxony-Anhalt, Germany.
Frédéric LaagerSUPER Lab, 26160, Bad Zwischenahn, Germany.
Andrea PaganoDepartment of Biology and Biotechnology 'L. Spallanzani', University of Pavia, Via Ferrata 9, Pavia, PV 27100, Italy.
Alma BalestrazziDepartment of Biology and Biotechnology 'L. Spallanzani', University of Pavia, Via Ferrata 9, Pavia, PV 27100, Italy.
Anca MacoveiDepartment of Biology and Biotechnology 'L. Spallanzani', University of Pavia, Via Ferrata 9, Pavia, PV 27100, Italy. anca.macovei@unipv.it.
Andreas BörnerLeibniz Institute of Plant Genetics and Crop Plant Research, Corrensstr. 3, Gatersleben, 06466, Seeland, Saxony-Anhalt, Germany. boerner@ipk-gatersleben.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed quality is the set of physical, genetic, and physiological characteristics, reflecting the overall germination potential. Maintaining an optimal seed quality is essential for agriculture and seed banks to preserve genetic diversity. Compared to conventional methods (e.g., germination tests), non-invasive approaches allow a more sustainable and rapid evaluation of seed quality but this is limited by high costs. The measurement of ultra-weak photon emission (UPE) and delayed fluorescence (DL), defined as biological phenomena potentially related to the physiological status of living systems, may represent a suitable approach to estimate seed quality. To test this hypothesis, seeds of five agriculturally relevant legume species (Phaseolus vulgaris L., Lathyrus sativus L., Cicer arietinum L., Pisum sativum L., and Vicia faba L.), stored at different conditions (room temperature or -18 °C) for several years, were analysed using a LIANA© prototype to collect data regarding DL and UPE occurring after UV excitation. The obtained data were integrated with germination parameters which underline species-specific behaviours in response to storage conditions. The prediction models show variable efficiency in classifying seeds based on germination which underline species-dependent links between photon emission and seed quality. Therefore, these measurements represent novel, non-invasive, and rapid approaches to evaluate seed quality.

Indexed as

GerminationPhotonsSeedsFabaceaeLuminescencePhaseolusDelayed luminescenceLeguminosaeMachine learningNon-invasive assessmentSeed qualityUltra-weak photon emission

Identifiers

PMID39500925
PMCPMC11538308

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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.