Chemometrical characterization of four italian rice varieties based on genetic and chemical analyses.
This paper describes a method for achieving qualitative identification of four rice varieties from two different Italian regions. To estimate the presence of genetic diversity among the four rice varieties, we used polymerase chain reaction-randomly amplified polymorphic DNA (PCR-RAPD) markers, and to elucidate whether a relationship exists between the ground and the specific characteristics of the product, we studied proximate composition, fatty acid composition, mineral content, and total antioxidant capacity. Using principal component analysis on genomic and compositional data, we were able to classify rice samples according to their variety and their district of production. This work also examined the discrimination ability of different parameters. It was found that genomic data give the best discrimination based on varieties, indicating that RAPD assays could be useful in discriminating among closely related species, while compositional analyses do not depend on the genetic characters only but are related to the production area.
Brandolini
Vincenzo
V
Department of Pharmaceutical Science, University of Ferrara, Via Fossato di Mortara 17/19, 44100 Ferrara, Italy.
Coïsson
Jean Daniel
JD
Tedeschi
Paola
P
Barile
Daniela
D
Cereti
Elisabetta
E
Maietti
Annalisa
A
Vecchiati
Giorgio
G
Martelli
Aldo
A
Arlorio
Marco
M
D000975:Antioxidants / Q000032:analysis; D005227:Fatty Acids / Q000032:analysis; D007558:Italy; D008903:Minerals / Q000032:analysis; D012275:Oryza / Q000737:chemistry* / Q000235:genetics* / Q000254:growth & development; D019105:Random Amplified Polymorphic DNA Technique; D012639:Seeds / Q000737:chemistry
D000975:Antioxidants; D005227:Fatty Acids; D008903:Minerals