Long-Term Epidemiological Surveillance Integrated with Data Science and Multimodel Approaches Advances Understanding of Polerovirus SCYLV Dynamics in Colombian Sugarcane.
- DOI
- 10.1094/phyto-02-26-0037-r
- Published
- 2026 Nov
- Container
- Phytopathology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1094/phyto-02-26-0037-r,
title = {Long-Term Epidemiological Surveillance Integrated with Data Science and Multimodel Approaches Advances Understanding of Polerovirus SCYLV Dynamics in Colombian Sugarcane.},
author = {Ramirez-Gil JG and Gómez-Ballen JD and Alviter AR and Ángel JC and Garcés-Obando FF},
year = {2026},
journal = {Phytopathology},
doi = {10.1094/phyto-02-26-0037-r},
url = {https://doi.org/10.1094/phyto-02-26-0037-r}
}RIS
TY - JOUR TI - Long-Term Epidemiological Surveillance Integrated with Data Science and Multimodel Approaches Advances Understanding of Polerovirus SCYLV Dynamics in Colombian Sugarcane. AU - Ramirez-Gil JG AU - Gómez-Ballen JD AU - Alviter AR AU - Ángel JC AU - Garcés-Obando FF PY - 2026 JO - Phytopathology DO - 10.1094/phyto-02-26-0037-r UR - https://doi.org/10.1094/phyto-02-26-0037-r ER -
APA
JG, R., JD, G., AR, A., JC, Á., & FF, G. (2026). Long-Term Epidemiological Surveillance Integrated with Data Science and Multimodel Approaches Advances Understanding of Polerovirus SCYLV Dynamics in Colombian Sugarcane.. Phytopathology. https://doi.org/10.1094/phyto-02-26-0037-r
Source records
- pubmed · retrieved 2026-11-10T16:41:16.681Z