Data for Genome-wide association and genomic prediction for yield and component traits of Miscanthus sacchariflorus

  • Joyce Njuguna (Creator)
  • Lindsay Clark (Creator)
  • Alexander Edward Lipka (Creator)
  • Kossonou Anzoua (Creator)
  • Larisa Bagmet (Creator)
  • Pavel Chebukin (Creator)
  • Maria Dwiyanti (Creator)
  • Elena Dzyubenko (Creator)
  • Nicolay Dzyubenko (Creator)
  • Bimal Ghimire (Creator)
  • Xiaoli Jin (Creator)
  • Douglas Johnson (Creator)
  • Hironori Nagano (Creator)
  • Junhua Peng (Creator)
  • Karen Petersen (Creator)
  • Andrey Sabitov (Creator)
  • Eun Seong (Creator)
  • Toshihiko Yamada (Creator)
  • Ji Yoo (Creator)
  • Chang Yu (Creator)
  • Hu Zhao (Creator)
  • Stephen P Long (Creator)
  • Erik J Sacks (Creator)

Dataset

Description

The dataset is for a study conducted to understand genome-wide association (GWA) and genomic prediction of biomass yield and 14 yield-components traits in Miscanthus sacchariflorus. We evaluated a diversity panel with 590 accessions of M. sacchariflorus grown across four years in one subtropical and three temperate locations and genotyped with 268,109 single nucleotide polymorphisms (SNPs).
Date made availableJul 28 2023
PublisherUniversity of Illinois Urbana-Champaign

Keywords

  • genome-wide association analysis
  • genomic prediction
  • biomass
  • bioenergy
  • Miscanthus sacchariflorus

Cite this