Claim · model-written summary
These models could conveniently diagnose rice nitrogen status in the field.
- Taxon
- rice
Oryza sativae0
- Outcome
- N status of rice can be diagnosed conveniently in the fielde0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“With these models, the N status of rice can be diagnosed conveniently in the field.”
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 The authors formulated a relative LAI-based NNI model.
- Method / resource A deterministic model estimated actual LAI from tiller number and height with R2=0.875.