Cargando…
Nontargeted metabolomics-based multiple machine learning modeling boosts early accurate detection for citrus Huanglongbing
Early accurate detection of crop disease is extremely important for timely disease management. Huanglongbing (HLB), one of the most destructive citrus diseases, has brought about severe economic losses for the global citrus industry. The direct strategies for HLB identification, such as quantitative...
Autores principales: | Wang, Zhixin, Niu, Yue, Vashisth, Tripti, Li, Jingwen, Madden, Robert, Livingston, Taylor Shea, Wang, Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433982/ https://www.ncbi.nlm.nih.gov/pubmed/36061619 http://dx.doi.org/10.1093/hr/uhac145 |
Ejemplares similares
-
Unraveling the mystery of canopy dieback caused by citrus disease Huanglongbing and its link to hypoxia stress
por: Shahzad, Faisal, et al.
Publicado: (2023) -
Canopy Density, but Not Bacterial Titers, Predicts Fruit Yield in Huanglongbing-Affected Sweet Orange Trees
por: Levy, Amit, et al.
Publicado: (2023) -
Accurate prediction of huanglongbing occurrence in citrus plants by machine learning-based analysis of symbiotic bacteria
por: Liu, Hao-Qiang, et al.
Publicado: (2023) -
Metabolomic Analysis Provides New Insight Into Tolerance of Huanglongbing in Citrus
por: Suh, Joon Hyuk, et al.
Publicado: (2021) -
Chlorophyll Fluorescence Imaging Uncovers Photosynthetic Fingerprint of Citrus Huanglongbing
por: Cen, Haiyan, et al.
Publicado: (2017)