Claim · model-written summary
Two unary QPFM fits did not pass statistical significance tests.
- Taxon
- rice
Oryza sativae0 - Treatment
- unary QPFMe0
- Outcome
- did not pass statistical significance testse0
- Value
- twoe0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The responses of 18 rice field experiments to N, P, or K fertilization indicated that the new models could significantly predict rice yields, while two experimental fitting results using the unary QPFM did not pass statistical significance tests.”
Title
Mingqing Zhang; Juan Li; Fang Chen; et al. Scientific Reports 2018. doi:10.1038/s41598-018-21163-w
Other claims from this paper (7)
- Association Rice yield increases exhibited an exponential relationship with fertilizer rate.
- Method / resource A unary non-structural fertilizer response model was proposed.
- Method / resource New models significantly predicted rice yields in 18 field experiments.
- Method / resource Residual standard deviations of 13 new models were significantly lower than unary QPFM.
- Association Recommended application rates from the new model and QPFM had a significant linear correlation.
- Method / resource Theoretical analysis identified unary QPFM as a simplified version of the new model.
- Method / resource Theoretical analysis reported higher fitting precision and better applicability, with the model referent ambiguous.