Claim · model-written summary
The lowest accuracy to predict yield and biomass was at I4 (MAD 80%) rather than I1 (MAD 20%).
- Taxon
- grain maizee0
- Treatment
- I4 (MAD: 80%)e3
- Outcome
- accuracy to predict yield and biomasse3
- Direction
- loweste3
- Comparator
- I1 (MAD: 20%)e3
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleSettingValueQualifier
Verbatim
e0“AquaCrop model was calibrated and validated for grain maize (Single Cross 260)”
e3“The highest and the lowest accuracy to predict yield and biomass under all nitrogen levels was obtained at I1 (MAD: 20%) and I4 (MAD: 80%) treatments, respectively”
Title
E. Amiri; M. Abedinpour Russian Agricultural Sciences 2020. doi:10.3103/s1068367420060038
Other claims from this paper (9)
- Method / resource Calibrated AquaCrop predicted maize grain and biomass yield with prediction error 4 < Pe < 5 per cent.
- Method / resource Calibrated AquaCrop reached R2 of 0.64 to 0.81 for maize yield.
- Method / resource Calibrated AquaCrop gave RMSE of 469 to 786 t ha–1 for maize yield.
- Method / resource Upon validation, AquaCrop prediction error for maize yield was between 10 and 6.
- Method / resource Upon validation, AquaCrop R2 for maize yield was between 0.65 and 0.76.
- Method / resource Upon validation, AquaCrop RMSE for maize yield was between 1062 and 1293.
- Method / resource The highest accuracy to predict yield and biomass was at I1 (MAD 20%) rather than I4 (MAD 80%).
- Method / resource AquaCrop simulated aboveground biomass more accurately than grain yield.
- Association AquaCrop could not provide satisfactory results under severe water stress.