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Omics-driven plant breeding through phenomics-enviromics crosstalk.

PubMed · 2026-06-12

Scientists are combining satellite imagery, drones, and AI to simultaneously track how plants grow and what environmental conditions they experience — creating a feedback loop that makes crop breeding faster and more precise.

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Phenotyping (measuring plant traits) is routinely conducted in poorly characterized environments, which limits breeders' ability to separate genetic potential from environmental luck.

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Satellites, unmanned aerial vehicles, and ground robots are enabling synchronized, high-throughput collection of both plant and environmental data at scale.

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AI-assisted modeling of combined plant-environment datasets is expected to improve crop resilience predictions and accelerate genetic gain in breeding programs.

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