Robustly enhancing crop genomic prediction accuracy through ensemble learning and iterative optimization

Z Zhou Yao L Liguang Wang (College of Chemical and Biological Engineering) L Li Zhu X Xinle Li Q Qiqi Wu (School of Environment and Energy, State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment) F Fan Wu G Guoshuai Wang W Wenyu Yang (Laboratory of Advanced Materials, Department of Chemistry, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, State Key Laboratory of Molecular Engineering of Polymers, Collaborative Innovation Center of Chemistry for Energy Materials (2011-iChEM), College of Chemistry and Materials) Y Yingjie Xiao J Jianxiao Liu

Article Details

Volume / Issue Vol. 1, Issue 1
Published July 20, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (10)

Z

Zhou Yao

L

Liguang Wang

College of Chemical and Biological Engineering

L

Li Zhu

X

Xinle Li

Q

Qiqi Wu

School of Environment and Energy, State Key Laboratory of Luminescent Materials and Devices, Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment

F

Fan Wu

G

Guoshuai Wang

W

Wenyu Yang

Laboratory of Advanced Materials, Department of Chemistry, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, State Key Laboratory of Molecular Engineering of Polymers, Collaborative Innovation Center of Chemistry for Energy Materials (2011-iChEM), College of Chemistry and Materials

Y

Yingjie Xiao

J

Jianxiao Liu