Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
Type:
Title:
Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
Creator:
Yunbi Xu;
Zhang Xingping;
Huihui Li;
Hongjian Zheng;
Jianan Zhang;
Olsen, M.;
Varshney, R.K.;
Prasanna, B.M.;
Qian Qian
Zhang Xingping;
Huihui Li;
Hongjian Zheng;
Jianan Zhang;
Olsen, M.;
Varshney, R.K.;
Prasanna, B.M.;
Qian Qian
Year:
2022
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Molecular Plant
Journal volume:
15
Journal issue:
11
Pages:
1664-1695
Place of Publication:
USA
Publisher:
Cell Press
Citation:
Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction. 2022. 15 (11) DOI: 10.1016/j.molp.2022.09.001 Cell Press.
CGIAR Initiatives
Initiative:
Accelerated Breeding
Breeding Resources
Breeding Resources
Impact Area:
Nutrition, health & food security
Poverty reduction, livelihoods & jobs
Poverty reduction, livelihoods & jobs
Action Area:
Genetic Innovation
Donor or Funder:
National Key Research and Development Program of China
Central Public-interest Scientific Institution Basal Research Fund
Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences
Shijiazhuang Science and Technology Incubation Program
Hebei Innovation Capability Enhancement Project
Project of Hainan Yazhou Bay Seed Laboratory
Department of Science and Technology of Ninxia Project
Bill & Melinda Gates Foundation
CGIAR Research Program on Maize
Central Public-interest Scientific Institution Basal Research Fund
Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences
Shijiazhuang Science and Technology Incubation Program
Hebei Innovation Capability Enhancement Project
Project of Hainan Yazhou Bay Seed Laboratory
Department of Science and Technology of Ninxia Project
Bill & Melinda Gates Foundation
CGIAR Research Program on Maize
CGSpace URL: