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Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley.

Xiangyu GuoPernille SarupAhmed JahoorJust JensenOle F Christensen
Published in: Genetics, selection, evolution : GSE (2023)
MGBLUP is a useful approach to combine phenotypic, genomic and metabolomic data for predicting breeding values for MQ traits. We believe that our results have significant implications for practical breeding of barley and potentially many other species.
Keyphrases
  • genome wide
  • copy number
  • electronic health record
  • dna methylation
  • machine learning
  • quality improvement
  • artificial intelligence