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Peer-reviewedCC BY-NC-NDNature Communications

Omics-driven plant breeding through phenomics-enviromics crosstalk

  • Huihui Li1,2
  • Shang Gao3,4
  • Takele Weldu Gebrewahid3,4,5
  • Wenxue Li4
  • Jiankang Wang3,4
  • Zanping Han6,7
  • Matthew Paul Reynolds8
  • J. L. Araus9
  • Sarah Hearne8
  • Yunbi Xu10,11,12
12 affiliations
  1. 1National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China. [email protected]
  2. 2State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. [email protected]
  3. 3National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan, China
  4. 4State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
  5. 5State Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Shandong, China
  6. 6MetaPheno Laboratory, Shanghai, China
  7. 7PhenoTrait Technology Co. Ltd., Beijing, China
  8. 8International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-64, Mexico, DF, Mexico
  9. 9Univ. de Barcelona, Barcelona 08028 and Agrotecnio, Lleida, Spain
  10. 10BGI Bioverse, Shenzhen, China. [email protected]
  11. 11State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. [email protected]
  12. 12State Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Shandong, China. [email protected]
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Abstract

Genomics, including all molecular omics, is driven by molecular data, while phenomics and enviromics rely on phenotypic and environmental data. Yet phenotyping is often conducted under poorly characterized environments, limiting the interpretation of phenotypic variation and constraining genetic gain. Integrating high-throughput phenotyping with envirotyping is hence vital to resolve genomic effects. This perspective introduces phenomics-enviromics (PE) crosstalk as a framework for coordinated data collection and integration to advance omics and precision plant breeding. Satellites, unmanned aerial and ground vehicles, and controlled indoor facilities, combined with AI-assisted typing technologies and modeling, are establishing the basis for synchronous, high-throughput PE crosstalk to enhance interpretability, prediction, and crop resilience. Genomics, phenomics, and enviromics constitute the G–P–E triangle in plant breeding, yet enviromics and its interaction with phenomics remain underexplored. Here, the authors introduce phenomics–enviromics (PE) crosstalk and discuss its coordinated data-collection and -integration into next-generation plant breeding.

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Cite

BibTeXRIS
BibTeX
@article{li2026omicsdriven,
  title = {{Omics-driven plant breeding through phenomics-enviromics crosstalk}},
  author = {Huihui Li and Shang Gao and Takele Weldu Gebrewahid and Wenxue Li and Jiankang Wang and Zanping Han and Matthew Paul Reynolds and J. L. Araus and Sarah Hearne and Yunbi Xu},
  journal = {Nature Communications},
  year = {2026},
  month = jun,
  doi = {10.1038/s41467-026-73097-x},
  url = {https://doi.org/10.1038/s41467-026-73097-x},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Omics-driven plant breeding through phenomics-enviromics crosstalk
AU  - Huihui Li
AU  - Shang Gao
AU  - Takele Weldu Gebrewahid
AU  - Wenxue Li
AU  - Jiankang Wang
AU  - Zanping Han
AU  - Matthew Paul Reynolds
AU  - J. L. Araus
AU  - Sarah Hearne
AU  - Yunbi Xu
PY  - 2026
DA  - 2026/06/12
JO  - Nature Communications
DO  - 10.1038/s41467-026-73097-x
UR  - https://doi.org/10.1038/s41467-026-73097-x
AB  - Genomics, including all molecular omics, is driven by molecular data, while phenomics and enviromics rely on phenotypic and environmental data. Yet phenotyping is often conducted under poorly characterized environments, limiting the interpretation of phenotypic variation and constraining genetic gain. Integrating high-throughput phenotyping with envirotyping is hence vital to resolve genomic effects. This perspective introduces phenomics-enviromics (PE) crosstalk as a framework for coordinated data collection and integration to advance omics and precision plant breeding. Satellites, unmanned aerial and ground vehicles, and controlled indoor facilities, combined with AI-assisted typing technologies and modeling, are establishing the basis for synchronous, high-throughput PE crosstalk to enhance interpretability, prediction, and crop resilience. Genomics, phenomics, and enviromics constitute the G–P–E triangle in plant breeding, yet enviromics and its interaction with phenomics remain underexplored. Here, the authors introduce phenomics–enviromics (PE) crosstalk and discuss its coordinated data-collection and -integration into next-generation plant breeding.
SN  - 2041-1723
ER  -