Claim · model-written summary
The authors formulated a relative LAI-based NNI model.
- Taxon
- rice
Oryza sativae0 - Outcome
- NNIe0
- Value
- NNI=0.7705RLAI+0.2764e0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The results were used to formulate two LAI-based N diagnostic models for irrigated lowland rice (NA=29.778LAI–5.9397; NNI=0.7705RLAI+0.2764).”
t0“rice”
Title
Leaf area index based nitrogen diagnosis in irrigated lowland rice
Xiao-jun LIU; Qiang CAO; Zhao-feng YUAN; et al. Journal of Integrative Agriculture 2018. doi:10.1016/s2095-3119(17)61714-3
Other claims from this paper (6)
- Method / resource An LAI-2000 calibration equation had R2=0.870.
- Association Plant nitrogen accumulation was significantly related to actual LAI.
- Method / resource Relative LAI was a less biased predictor of NNI than LAI, with R2 values of 0.808 and 0.33.
- Method / resource The authors formulated an LAI-based nitrogen accumulation model.
- Method / resource A deterministic model estimated actual LAI from tiller number and height with R2=0.875.
- Recommendation These models could conveniently diagnose rice nitrogen status in the field.