Genome‐wide association and genomic prediction for biomass yield in a genetically diverse Miscanthus sinensis germplasm panel phenotyped at five locations in Asia and North America-Reference-Cited by-同舟云学术

Genome‐wide association and genomic prediction for biomass yield in a genetically diverse Miscanthus sinensis germplasm panel phenotyped at five locations in Asia and North America

Published:2019-05-13 Issue:8 Volume:11 Page:988-1007
ISSN:1757-1693
Container-title:GCB Bioenergy
language:en
Short-container-title:GCB Bioenergy

Author:

Clark Lindsay V.¹^ORCID,Dwiyanti Maria S.²,Anzoua Kossonou G.²,Brummer Joe E.³,Ghimire Bimal Kumar⁴,Głowacka Katarzyna⁵,Hall Megan⁶,Heo Kweon⁷,Jin Xiaoli⁸,Lipka Alexander E.¹^ORCID,Peng Junhua⁹,Yamada Toshihiko²^ORCID,Yoo Ji Hye⁷,Yu Chang Yeon⁷,Zhao Hua¹⁰,Long Stephen P.¹^ORCID,Sacks Erik J.¹

Affiliation:

1. Department of Crop Sciences University of Illinois, Urbana‐Champaign Urbana Illinois

2. Field Science Center for Northern Biosphere Hokkaido University Sapporo Japan

3. Department of Soil and Crop Sciences Colorado State University Fort Collins Colorado

4. Department of Applied Bioscience Konkuk University Seoul South Korea

5. Department of Biochemistry University of Nebraska‐Lincoln Lincoln Nebraska

6. Bio Architecture Lab Berkeley California

7. Department of Applied Plant Sciences Kangwon National University Chuncheon, Gangwon South Korea

8. Department of Agronomy Zhejiang University Hangzhou China

9. HuaZhi Biotechnology Institute Changsha China

10. College of Plant Science and Technology Huazhong Agricultural University Wuhan China

Funder

Office of Science

Biological and Environmental Research

Publisher

Wiley

Subject

Waste Management and Disposal,Agronomy and Crop Science,Renewable Energy, Sustainability and the Environment,Forestry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcbb.12620

Reference62 articles.

1. A Review on Miscanthus Biomass Production and Composition for Bioenergy Use: Genotypic and Environmental Variability and Implications for Breeding

2. Genomic Selection for Predicting Fusarium Head Blight Resistance in a Wheat Breeding Program

3. Population structure correction for genomic selection through eigenvector covariates

4. Fitting Linear Mixed-Effects Models Usinglme4

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