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Genome-Wide Association Analysis for Hybrid Breeding in Wheat.

Monika MokrzyckaStefan StojałowskiMirosław TyrkaPrzemysław MatysikBarbara ŻmijewskaRafał MarcinkowskiUrszula Woźna-PawlakRóża MartofelMichał RokickiMonika Rakoczy-TrojanowskaPaweł Krajewski
Published in: International journal of molecular sciences (2022)
Disclosure of markers that are significantly associated with plant traits can help develop new varieties with desirable properties. This study determined the genome-wide associations based on DArTseq markers for six agronomic traits assessed in eight environments for wheat. Moreover, the association study for heterosis and analysis of the effects of markers grouped by linkage disequilibrium were performed based on mean values over all experiments. All results were validated using data from post-registration trials. GWAS revealed 1273 single nucleotide polymorphisms with biologically significant effects. Most polymorphisms were predicted to be modifiers of protein translation, with only two having a more pronounced effect. Markers significantly associated with the considered set of features were clustered within chromosomes based on linkage disequilibrium in 327 LD blocks. A GWAS for heterosis revealed 1261 markers with significant effects.
Keyphrases
  • genome wide
  • dna methylation
  • single cell
  • copy number
  • machine learning
  • small molecule
  • protein protein
  • artificial intelligence
  • amino acid