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Endosperm structure and Glycemic Index of Japonica Italian rice varieties.
Haxhari, Filip; Savorani, Francesco; Rondanelli, Mariangela; Cantaluppi, Enrico; Campanini, Luigi; Magnani, Edoardo; Simonelli, Cinzia; Gavoci, Gentian; Chiadò, Alessandro; Sozzi, Mattia; Cavallini, Nicola; Chiodoni, Angelica; Gasparri, Clara; Barrile, Gaetan Claude; Cavioni, Alessandro; Mansueto, Francesca; Mazzola, Giuseppe; Moroni, Alessia; Patelli, Zaira; Pirola, Martina; Tartara, Alice; Guido, Davide; Perna, Simone; Magnaghi, Roberto.
Affiliation
  • Haxhari F; Centro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
  • Savorani F; Department of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
  • Rondanelli M; Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
  • Cantaluppi E; Centro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
  • Campanini L; Centro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
  • Magnani E; Centro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
  • Simonelli C; Centro Ricerche sul Riso, Ente Nazionale Risi, Castello D'Agogna, Italy.
  • Gavoci G; Department of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
  • Chiadò A; Department of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
  • Sozzi M; Department of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
  • Cavallini N; Department of Applied Science and Technology (DISAT), Polytechnic University of Turin, Torino, Italy.
  • Chiodoni A; Center for Sustainable Future Technologies @Polito, Istituto Italiano di Tecnologia, Torino, Italy.
  • Gasparri C; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Barrile GC; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Cavioni A; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Mansueto F; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Mazzola G; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Moroni A; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Patelli Z; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Pirola M; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Tartara A; Endocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, Pavia, Italy.
  • Guido D; Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.
  • Perna S; Department of Biology, College of Science, University of Bahrain, Zallaq, Bahrain.
  • Magnaghi R; Sede Centrale, Ente Nazionale Risi, Milano, Italy.
Front Plant Sci ; 14: 1303771, 2023.
Article in En | MEDLINE | ID: mdl-38250450
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Plant Sci Year: 2023 Type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Front Plant Sci Year: 2023 Type: Article Affiliation country: Italy