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