Genetic patterns recognition in crop species using self-organizing map: the example of the heterozygous autotetraploid potato (Solanum tuberosum L.)

Abstract

We tested the ability of the self-organizing map (SOM), a type of artificial neural network, in revealing genetic patterns within the autotetraploid potato (Solanum tuberosum L.). A total of 591 potato varieties, originating from various main European breeder collections and released into different market segments between 1815 and 2015, were examined using a set of 21 informative microsatellite markers.