Beyond organ-level phenotyping: A cross-scale and AI-assisted framework for decoding the biological determinants of seed vigour.

Song X, Dai J, Liu J, Ban S, Liu X, Zhou J

DOI: 10.1016/j.xplc.2026.102121
Published: 2026 Sep 23
Container: Plant communications
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.xplc.2026.102121,
  title = {Beyond organ-level phenotyping: A cross-scale and AI-assisted framework for decoding the biological determinants of seed vigour.},
  author = {Song X and Dai J and Liu J and Ban S and Liu X and Zhou J},
  year = {2026},
  journal = {Plant communications},
  doi = {10.1016/j.xplc.2026.102121},
  url = {https://doi.org/10.1016/j.xplc.2026.102121}
}

RIS

TY  - JOUR
TI  - Beyond organ-level phenotyping: A cross-scale and AI-assisted framework for decoding the biological determinants of seed vigour.
AU  - Song X
AU  - Dai J
AU  - Liu J
AU  - Ban S
AU  - Liu X
AU  - Zhou J
PY  - 2026
JO  - Plant communications
DO  - 10.1016/j.xplc.2026.102121
UR  - https://doi.org/10.1016/j.xplc.2026.102121
ER  -

APA

X, S., J, D., J, L., S, B., X, L., & J, Z. (2026). Beyond organ-level phenotyping: A cross-scale and AI-assisted framework for decoding the biological determinants of seed vigour.. Plant communications. https://doi.org/10.1016/j.xplc.2026.102121

Source records

pubmed · retrieved 2026-09-24T22:58:55.975Z