Evidence map›Paper›PMID 38250450›Full record

ArticleFrontiers in plant science2023

Endosperm structure and Glycemic Index of Japonica Italian rice varieties.

Filip Haxhari, Francesco Savorani, Mariangela Rondanelli, Enrico Cantaluppi, Luigi Campanini, Edoardo Magnani, Cinzia Simonelli, Gentian Gavoci, Alessandro Chiadò, Mattia Sozzi and 14 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. 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
2.2field-weighted citation impact, top 15% of its field
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, 7 citations in OpenAlex.

  1. Unlocking Low-glycemic Potential in Rice: Genetic Insights and Breeding Strategies.Plant foods for human nutrition (Dordrecht, Netherlands) · 2026
    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

24 authors at 6 institutions in 2 countries.

Filip HaxhariCentro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
Francesco SavoraniDepartment of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
Mariangela RondanelliDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
Enrico CantaluppiCentro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
Luigi CampaniniCentro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
Edoardo MagnaniCentro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
Cinzia SimonelliCentro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
Gentian GavociDepartment of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
Alessandro ChiadòDepartment of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
Mattia SozziDepartment of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
Nicola CavalliniDepartment of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
Angelica ChiodoniCenter for Sustainable Future Technologies @Polito, Istituto Italiano di Tecnologia, Torino, Italy.
Clara GasparriEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Gaetan Claude BarrileEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Alessandro CavioniEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Francesca MansuetoEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Giuseppe MazzolaEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Alessia MoroniEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Zaira PatelliEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Martina PirolaEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Alice TartaraEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
Davide GuidoFondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
Simone PernaDepartment of Biology, College of Science, University of Bahrain, Zallaq, Bahrain.
Roberto MagnaghiSede Centrale, Ente Nazionale Risi, Milano, Italy.
Azienda di Servizi alla Persona di Pavia (Italy) · ITPolytechnic University of Turin · ITUniversity of Pavia · ITAgostino Gemelli University Polyclinic · ITItalian Institute of Technology · ITUniversity of Bahrain · BH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Given that rice serves as a crucial staple food for a significant portion of the global population and with the increasing number of individuals being diagnosed with diabetes, a primary objective in genetic improvement is to identify and cultivate low Glycemic Index (GI) varieties. This must be done while ensuring the preservation of grain quality. Methods: 25 Italian rice genotypes were characterized calculating their GI "in vivo" and, together with other 29 Italian and non-Italian genotypes they were studied to evaluate the grain inner structure through Field Emission Scanning Electron Microscopy (FESEM) technique. Using an ad-hoc developed algorithm, morphological features were extracted from the FESEM images, to be then inspected by means of multivariate data analysis methods. Results and Discussion: Large variability was observed in GI values (49 to 92 with respect to glucose), as well as in endosperm morphological features. According to the percentage of porosity is possible to distinguish approximately among rice varieties having a crystalline grain (< 1.7%), those intended for the preparation of risotto (> 5%), and a third group having intermediate characteristics. Waxy rice varieties were not united by a certain porosity level, but they shared a low starch granules eccentricity. With reference to morphological features, rice varieties with low GI (<55) seem to be characterized by large starch granules and low porosity values. Our data testify the wide variability of Italian rice cultivation giving interesting information for future breeding programs, finding that the structure of the endosperm can be regarded as a specific characteristic of each variety.

Indexed as

amyloplastdiabetesendospermGlycemic IndexJaponica ricescanning electron microscopystarch granule

Identifiers

PMID38250450
PMCPMC10796725
OpenAlexW4390611318

What OpenQuestion 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 OpenQuestion graph.