Data from: Genome-wide association and genomic prediction for biomass yield in Miscanthus sinensis phenotyped in Asia and North America
Abstract
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.
- Authors:
-
- University of Illinois
- Publication Date:
- DOE Contract Number:
- SC0006634
- Research Org.:
- University of Illinois at Urbana-Champaign
- Sponsoring Org.:
- U.S. Department of Energy (DOE)
- Subject:
- genome-wide association studies (GWAS); genomic selection; genotyping-by-sequencing (GBS); miscanthus
- OSTI Identifier:
- 3009856
- DOI:
- https://doi.org/10.13012/B2IDB-0790815_V1
Citation Formats
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., and Sacks, Erik J. Data from: Genome-wide association and genomic prediction for biomass yield in Miscanthus sinensis phenotyped in Asia and North America. United States: N. p., 2016.
Web. doi:10.13012/B2IDB-0790815_V1.
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. Data from: Genome-wide association and genomic prediction for biomass yield in Miscanthus sinensis phenotyped in Asia and North America. United States. doi:https://doi.org/10.13012/B2IDB-0790815_V1
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., and Sacks, Erik J. 2016.
"Data from: Genome-wide association and genomic prediction for biomass yield in Miscanthus sinensis phenotyped in Asia and North America". United States. doi:https://doi.org/10.13012/B2IDB-0790815_V1. https://www.osti.gov/servlets/purl/3009856. Pub date:Sat Dec 31 19:00:00 EST 2016
@article{osti_3009856,
title = {Data from: Genome-wide association and genomic prediction for biomass yield in Miscanthus sinensis phenotyped in Asia and North America},
author = {Clark, Lindsay V. and Dwiyanti, Maria S. and Anzoua, Kossonou G. and Brummer, Joe E. and Głowacka, Katarzyna and Hall, Megan and Heo, Kweon and Jin, Xiaoli and Lipka, Alexander E. and Peng, Junhua and Yamada, Toshihiko and Yoo, Ji Hye and Yu, Chang Yeon and Zhao, Hua and Long, Stephen P. and Sacks, Erik J.},
abstractNote = {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.},
doi = {10.13012/B2IDB-0790815_V1},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Dec 31 19:00:00 EST 2016},
month = {Sat Dec 31 19:00:00 EST 2016}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
