Claim · model-written summary
Two resistance-gene principal components explained 89.11% of variance.
- Outcome
- total variancee0
- Value
- 89.11%e0
- Qualifier
- top 2 principal components for disease-resistant genese0
SorghumNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Principal component analysis (PCA), with the top 5 principal components for physiological and biochemical indicators and the top 2 principal components for disease-resistant genes, can explain 82.37% and 89.11% of their total variance, reducing the number of evaluation indicators.”
t0“sorghum seedlings”
Title
Response and disease resistance evaluation of sorghum seedlings under anthracnose stress
Songshu Chen; Zhi Zhao; Xiaojuan Liu; et al. Scientific Reports 2024. doi:10.1038/s41598-024-70088-0
Other claims from this paper (11)
- Intervention effect The resistant gz93 line developed significantly smaller lesions than susceptible gz234 after inoculation.
- Observation Lesion-area leaf and cell dimensions decreased more in gz234 than gz93.
- Observation Anthracnose damage lowered net photosynthesis more in gz234 than gz93, with different early and late limitations.
- Association SOD and CAT activities were higher in gz93 than gz234 and may correlate positively with resistance.
- Association Proline and four hormone contents were higher in gz93 than gz234 and may correlate positively with resistance.
- Association Salicylic and gibberellic acid content were higher in gz93 than gz234.
- Association MDA may correlate negatively with sorghum disease resistance.
- Observation Disease resistance genes were overexpressed in gz93 and changed significantly in gz234.
- Method / resource GA3, MDA, POD and resistance genes were identified as reference indicators for disease severity.
- Method / resource A regression equation was proposed to predict relative lesion area.
- Method / resource Five physiological and biochemical principal components explained 82.37% of variance.