Evidence map›Paper›PMID 38475588›Full record

ArticlePlants (Basel, Switzerland)2024

Characterization among and within Sicilian Tetraploid Wheat Landraces by Gluten Protein Analysis for Traceability Purposes.

Samuela Palombieri, Marco Bonarrigo, Silvia Potestio, Francesco Sestili, Bernardo Messina, Giuseppe Russo, Claudia Miceli, Benedetto Frangipane, Marco Genduso, Chiara Delogu and 2 more

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Samuela PalombieriDepartment of Agriculture and Forest Science (DAFNE), University of Tuscia, Via San Camillo de Lellis Snc, 01100 Viterbo, VT, Italy.ORCID 0000-0003-3243-3428
Marco BonarrigoDepartment of Agriculture and Forest Science (DAFNE), University of Tuscia, Via San Camillo de Lellis Snc, 01100 Viterbo, VT, Italy.ORCID 0000-0003-3422-1015
Silvia PotestioDepartment of Agriculture and Forest Science (DAFNE), University of Tuscia, Via San Camillo de Lellis Snc, 01100 Viterbo, VT, Italy.
Francesco SestiliDepartment of Agriculture and Forest Science (DAFNE), University of Tuscia, Via San Camillo de Lellis Snc, 01100 Viterbo, VT, Italy.ORCID 0000-0002-9653-8002
Bernardo MessinaConsorzio di Ricerca Gian Pietro Ballatore, Z.I. Dittaino, 90040 Assoro, EN, Italy.
Giuseppe RussoConsorzio di Ricerca Gian Pietro Ballatore, Z.I. Dittaino, 90040 Assoro, EN, Italy.ORCID 0000-0001-6641-4562
Claudia MiceliCouncil for Agriculture Research and Economics, Plant Protection and Certification Center (CREA-DC), Palermo Headquarters, Viale Regione Siciliana Sud Est 8669, 90121 Palermo, PA, Italy.ORCID 0000-0002-0121-7899
Benedetto FrangipaneCouncil for Agriculture Research and Economics, Plant Protection and Certification Center (CREA-DC), Palermo Headquarters, Viale Regione Siciliana Sud Est 8669, 90121 Palermo, PA, Italy.ORCID 0000-0002-2442-7530
Marco GendusoCouncil for Agriculture Research and Economics, Plant Protection and Certification Center (CREA-DC), Palermo Headquarters, Viale Regione Siciliana Sud Est 8669, 90121 Palermo, PA, Italy.ORCID 0009-0006-5350-8950
Chiara DeloguCouncil for Agriculture Research and Economics, Plant Protection and Certification Center (CREA-DC), Tavazzano Headquarters, SS9, Km 307, 26838 Tavazzano con Villavesco, LO, Italy.
Lorella AndreaniCouncil for Agriculture Research and Economics, Plant Protection and Certification Center (CREA-DC), Tavazzano Headquarters, SS9, Km 307, 26838 Tavazzano con Villavesco, LO, Italy.
Stefania MasciDepartment of Agriculture and Forest Science (DAFNE), University of Tuscia, Via San Camillo de Lellis Snc, 01100 Viterbo, VT, Italy.ORCID 0000-0003-2857-4498

Funding

Department of Agriculture, Sicily Region, Italy CUP G79F19000090001 CIG Z972F062A5
6 · The paper itself

Abstract

The criteria of "Distinctness, Uniformity and Stability" as well as a high "overall quality index" are used to register the Italian modern varieties to the national register. Differently, local conservation varieties can be certified under different EU Directives that facilitate, as an overall objective, the preservation of biodiversity and the containment of genetic erosion. In recent years, products derived from ancient grains are perceived to be healthier and more sustainable by consumers, especially in Italy, with consequent higher market prices. The ancient tetraploid wheat varieties registered in the national register of conservation varieties amount to 28, 24 of which are Sicilian. They are supposed to have wide genetic variability compared to modern ones, making them vulnerable to fraud because they are difficult to trace. It is therefore important to have tools able to discriminate between autochthonous Sicilian varieties. This can be completed by gluten proteins composition, which also provides information on the technological properties of derived products. Fifty-one accessions belonging to twenty-two ancient varieties of Sicilian tetraploid (mostly durum) wheat were analyzed. Although wide intra-accession and intra-varietal variability measurements were assessed, the gliadin pattern of bulks of seeds belonging to each variety was discriminatory. Moreover, differences in technological attitudes were found between landraces. This paves the way to use gluten protein patterns for traceability, allowing local farmers and producers to valorize their products and assure consumers regarding the transparency of the entire supply chain.

Indexed as

durum wheatgliadinglutenin subunitslandracestraceability

Identifiers

PMID38475588
PMCPMC10935316

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.