Evaluating the discriminatory ability and informativeness of DArTseq markers in a comprehensive set of contemporary European potato varieties.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60109807%3A_____%2F26%3AN0000003" target="_blank" >RIV/60109807:_____/26:N0000003 - isvavai.cz</a>
Result on the web
<a href="http://chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://cjgpb.agriculturejournals.cz/pdfs/cjg/2026/02/02.pdf" target="_blank" >http://chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://cjgpb.agriculturejournals.cz/pdfs/cjg/2026/02/02.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17221/103/2025-CJGPB" target="_blank" >10.17221/103/2025-CJGPB</a>
Alternative languages
Result language
angličtina
Original language name
Evaluating the discriminatory ability and informativeness of DArTseq markers in a comprehensive set of contemporary European potato varieties.
Original language description
High-throughput molecular technology DArTseq generates markers for potential use in molecular breeding of crops. Using DArTseq, we analysed a comprehensive set of 333 European potato varieties reflecting the outcomes of long-term breeding history and representing a potential germplasm for future breeding of potatoes in the Central European region. The varieties were classified according to four factors: region of origin, breeder, earliness and utilisation mode, that may potentially reflect their genetic structure, and for which complete data were publicly available. The DArTseq analysis was performed by the service centre, the Diversity Array Technology (University of Canberra), which generated approximately 38 000 silicoDArT and 64 000 SNP (single nucleotide polymorphism) polymorphic markers. The discriminatory ability of the markers in relation to the factors was confirmed using neighbour-joining and principal coordinate analysis (PCoA), while the informativeness was assessed using the discriminant analysis of principal components (DAPC). The analyses identified the 50 SNPs most strongly associated with each factor, along with their highly probable chromosomal localisation. Herein presented research contributes to the evaluation of potato genetic resources by adding the novel molecular data of active germplasm and implies their future utilisation in genome wide association studies and marker assisted selection.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
<a href="/en/project/QK22010073" target="_blank" >QK22010073: Alternative methods of pest and disease control in potatoes minimizing the negative impact on the environment.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2026
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Czech Journal of Genetics and Plant Breeding
ISSN
1212-1975
e-ISSN
1805-9325
Volume of the periodical
62
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
12
Pages from-to
64-75
UT code for WoS article
001668946300001
EID of the result in the Scopus database
2-s2.0-105035002000