Data for Genome-wide association and genomic prediction for yield and component traits of Miscanthus sacchariflorus
Cite this dataset:
Njuguna, Joyce; Clark, Lindsay; Lipka , Alexander; Anzoua, Kossonou; Bagmet, Larisa; Chebukin, Pavel; Dwiyanti, Maria; Dzyubenko, Elena; Dzyubenko, Nicolay; Ghimire, Bimal; Jin, Xiaoli; Johnson, Douglas; Nagano, Hironori; Peng, Junhua; Petersen, Karen; Sabitov, Andrey; Seong, Eun; Yamada, Toshihiko; Yoo, Ji; Yu, Chang; Zhao, Hu; Long, Stephen; Sacks, Erik (2023): Data for Genome-wide association and genomic prediction for yield and component traits of Miscanthus sacchariflorus. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-6439486_V1
Use this persistent URL to link to this dataset:
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).
Subject Life Sciences
Keywords Miscanthus sacchariflorus; genome-wide association analysis; genomic prediction; bioenergy; biomass
License CC BY
Funder U.S. National Science Foundation (NSF)-Grant:1661490
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0012379
Funder U.S. Department of Energy (DOE)-Grant:DE-SC0018420
Corresponding Creator Erik Sacks
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Version DOI Comment Publication Date
1 10.13012/B2IDB-6439486_V1 2023-07-28
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