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Data from: Genome-wide association and genomic prediction for biomass yield in Miscanthus sinensis phenotyped in Asia and North America
Citation:
Clark, Lindsay V.; Dwiyanti, Maria S.; Anzoua, Kossonou G.; Brummer, Joe E.; Głowacka, Katarzyna; Hall, Megan; Heo, Kweon; Jin, Xiaoli; Lipka, Alexander E.; Peng, Junhua; Yamada, Toshihiko; Yoo, Ji Hye; Yu, Chang Yeon; Zhao, Hua; Long, Stephen P.; Sacks, Erik J. (2017): Data from: Genome-wide association and genomic prediction for biomass yield in Miscanthus sinensis phenotyped in Asia and North America. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0790815_V1
If you use this dataset, please cite it.
Related Dataset Genetic diversity of Miscanthus sinensis. NCBI Sequence Read Archive, Bioproject PRJNA207721
Related Code Lindsay Clark. R functions for conversion of genetic data formats.
Related Dataset Data from: A footprint of past climate change on the diversity and population structure of Miscanthus sinensis
Dataset Description

This dataset contains genotypic and phenotypic data, R scripts, and the results of analysis pertaining to a multi-location field trial of Miscanthus sinensis. Genome-wide association and genomic prediction were performed for biomass yield and 14 yield-component traits across six field trial locations in Asia and North America, using 46,177 single-nucleotide polymorphism (SNP) markers mined from restriction site-associated DNA sequencing (RAD-seq) and 568 M. sinensis accessions. Genomic regions and candidate genes were identified that can be used for breeding improved varieties of M. sinensis, which in turn will be used to generate new M. xgiganteus clones for biomass.
Subject Life Sciences
Keywords miscanthus; genotyping-by-sequencing (GBS); genome-wide association studies (GWAS); genomic selection
License CC BY
Funder U.S. Department of Energy (DOE) - Grant: DE-SC0006634
Corresponding Creator Erik J. Sacks
Downloaded 974 times
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2 10.13012/B2IDB-0790815_V2 Updated files from v1 2018-12-19
1 10.13012/B2IDB-0790815_V1 2017-11-29
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