Claim · model-written summary
NRI600/850 and NRI700/850 were the most sensitive normalized reflectance indices to viral infection.
- Taxon
- Nicotiana benthamiana
Nicotiana benthamianat0 - Outcome
- most sensitive NRIse0
- Value
- NRI600/850, NRI700/850e0
- Qualifier
- virale0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Nicotiana benthamiana”
e0“The most sensitive NRIs to bacterial (NRI510/545, NRI510/850) and viral (NRI600/850, NRI700/850) infections were identified”
Title
Bacterial and Viral-Induced Changes in the Reflectance Spectra of Nicotiana benthamiana Plants
Alyona Grishina; Maxim Lysov; Maria Ageyeva; et al. Horticulturae 2024. doi:10.3390/horticulturae10121363
Other claims from this paper (11)
- Observation Bacterial infection produced pronounced visual symptoms in Nicotiana benthamiana.
- Observation Viral infection produced an almost complete absence of visual symptoms.
- Intervention effect P. syringae caused severe inhibition of photosynthetic activity in the infected leaf.
- Intervention effect PVX did not have a pronounced effect on photosynthetic activity.
- Intervention effect P. syringae caused a strong increase in reflectance in the blue and red spectral ranges.
- Intervention effect P. syringae caused a decrease in reflectance in the near-infrared range.
- Intervention effect PVX-induced changes in the reflectance spectrum had smaller amplitudes than those induced by P. syringae.
- Observation PVX-induced reflectance changes were localized mainly in the red edge range.
- Observation NRI510/545 and NRI510/850 were the most sensitive normalized reflectance indices to bacterial infection.
- Observation Use of the identified indices makes it possible to detect the disease at an early stage.
- Observation The study demonstrated the possibility of using the multispectral imaging method in early pathogen detection.