Publication detail

Dynamic metabolomic prediction based on genetic variation for Hordeum vulgare

NEMČEKOVÁ, P. SCHWARZEROVÁ, J.

Original Title

Dynamic metabolomic prediction based on genetic variation for Hordeum vulgare

Type

conference paper

Language

English

Original Abstract

Hordeum vulgare, like many other crops, suffers from the reduction of genetic diversity caused by climate changes. Therefore, it is necessary to improve the performance of its breeding. Nowadays, the area of interest in current research focuses on indirect selection methods based on computational prediction modeling. This study deals with dynamic metabolomic prediction based on genomic data consisting of 33,005 single nucleotide polymorphisms. Metabolomic data include 128 metabolites belonging to 25 Halle exotic barley families. The main goal of this study is creating dynamic metabolomic predictions using different approaches chosen upon various publications. Our created models will be helpful for the prediction of phenotype or for revealing important traits of Hordeum vulgare.

Keywords

Machine learning, Single nucleotide polymorphism, genomic prediction, Hordeum vulgare

Authors

NEMČEKOVÁ, P.; SCHWARZEROVÁ, J.

Released

26. 4. 2022

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6029-4

Book

Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers

Edition number

1

Pages from

251

Pages to

254

Pages count

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf

BibTex

@inproceedings{BUT179425,
  author="Petra {Nemčeková} and Jana {Schwarzerová}",
  title="Dynamic metabolomic prediction based on genetic variation for Hordeum vulgare",
  booktitle="Proceedings I of the 28th Conference STUDENT EEICT 2022 General Papers",
  year="2022",
  number="1",
  pages="251--254",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6029-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf"
}