Claim · model-written summary
Combined uncertainty showed saturation in net irrigation requirement fluctuations.
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“fluctuations in NIR exhibit a saturation effect, meaning that as uncertainty factors continue to accumulate, the magnitude of NIR fluctuations no longer increases obviously”
e1“a virtual maize field in the Hanyan Irrigation District”
Title
Yimin Ding; Mingyu Wang; Jianxin Jin; et al. Agricultural Water Management 2025. doi:10.1016/j.agwat.2025.109851
Other claims from this paper (8)
- Association Weather forecast uncertainty minimally affected net irrigation requirement in drought areas.
- Association sowing date uncertainty caused net irrigation requirement fluctuations of −15 % to + 13 %.
- Association soil parameters uncertainty caused net irrigation requirement fluctuations of −5 % to + 12 %.
- Association crop coefficient (K c ) uncertainty caused net irrigation requirement fluctuations of −10 % to + 10 %.
- Method / resource With all factors combined, 90 % of net irrigation requirement predictions remained within ±15 %.
- Observation Yield losses exceeded 1.5 % in no more than 25 % of cases.
- Observation Yield losses exceeded 4 % in no more than 5 % of cases.
- Intervention effect Moderately increasing per-application irrigation requirement slightly reduced yield-loss risk, with diminishing benefit beyond 10 %.