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Related Experiment Video

Updated: Jun 14, 2026

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

Omics-driven plant breeding through phenomics-enviromics crosstalk.

Huihui Li^1,2, Shang Gao^3,4, Takele Weldu Gebrewahid^3,4,5

¹State 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. lihuihui@caas.cn.

Nature Communications

|June 12, 2026

Summary

Integrating high-throughput phenotyping with envirotyping, termed phenomics-enviromics (PE) crosstalk, is vital for understanding genomic effects. This framework enhances crop resilience through coordinated data collection and AI-assisted technologies for precision plant breeding.

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Area of Science:

Plant Science
Genomics
Agricultural Technology

Background:

Molecular omics rely on molecular data, while phenomics and enviromics use phenotypic and environmental data.
Poorly characterized environments limit phenotyping interpretation and genetic gain.
High-throughput phenotyping integrated with envirotyping is crucial for resolving genomic effects.

Purpose of the Study:

Introduce phenomics-enviromics (PE) crosstalk as a framework for data integration.
Advance omics research and precision plant breeding.
Enhance the interpretability, prediction, and resilience of crops.

Main Methods:

Coordinated data collection using satellites, drones, and indoor facilities.
AI-assisted typing technologies.
Advanced modeling for data integration.

Main Results:

Establishing the basis for synchronous, high-throughput PE crosstalk.
Improved interpretability of phenotypic variation.
Enhanced prediction of crop performance and resilience.

Conclusions:

PE crosstalk provides a unified framework for omics data integration.
Synchronous, high-throughput data collection is key to advancing plant breeding.
This approach significantly enhances crop resilience and genetic gain.