Potato biodiversity: A linear discriminant analysis on the nutritional and physicochemical composition of fifty genotypes

Abstract

Fifty potato genotypes from twenty-four different countries of origin, four different flesh colours (yellow, purple, red and marble) and different cultivation types (Andean accessions, landraces, breeder lines and cultivated varieties) were studied in terms of their nutritional and physicochemical characteristics. In general, cultivated varieties and breeder lines showed the highest similarity (slight differences only in some particular fatty acids distributions: C10:0, C12:0 and C22:0) concerning the physicochemical parameters assayed in this work, independently of the geographical origin or tuber flesh colour of these genotypes. Nonetheless, some of the studied landraces and Andean accessions proved to be similar enough to be considered as genotypes with good potential for commercial cultivation. These results can contribute to the supply of new potato genotypes into sustainable farming systems, supporting the protection of potato biodiversity, particularly Andean accessions, landraces and coloured genotypes (red or purple flesh) which are not widely cultivated so far.

Field‐Assisted Sensitivity Amplification in a Noble Metal Nanoparticle Decorated WO3/GO Hybrid FET‐Based Multisensory Array for Selective Detection of Breath Acetone

“…Sensor responses were then processed with the phase space entire (PSE) feature extraction technique followed by the Fisher discriminant analysis (FDA) to discriminate and differentiate the exact concentration of acetone in synthetic breath in presence of different levels of interferences. In phase space, the time course of any system is described by time parametric trajectories, which contains the dynamic characteristics of the system [67–71] …”

Nutritional, Anthropometric and Sociodemographic Factors Affecting Fatty Acids Profile of Pregnant Women’s Serum at Labour—Chemometric Studies

“…A wide spectrum of multivariate methods is available in order to extract information from the data sets obtained in different nutritional and biochemical studies. Many authors have used these to distinguish the origin of food samples, to distinguish patients according to their health status, to evaluate dietary influence on microbiome, to identify the best way of feeding, or to evaluate different genomic, proteomic, lipidomic or metabolomic results [ 40 , 41 , 42 , 43 , 44 , 45 ]. A similar approach was applied by Aparicio et al, who applied multiple linear regression to assess the association between the socioeconomic and maternal lifestyle factors and fatty acid profile in serum of Spanish women.…”

The Compositional Aspects of Edible Flowers as an Emerging Horticultural Product

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