Claim · model-written summary
soil parameters uncertainty caused net irrigation requirement fluctuations of −5 % to + 12 %.
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“sowing date, soil parameters, and crop coefficient (K c ) introduce significant variability. When maximized, these factors cause NIR fluctuations of −15 % to + 13 %, −5 % to + 12 %, and −10 % to + 10 %, respectively”
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 crop coefficient (K c ) uncertainty caused net irrigation requirement fluctuations of −10 % to + 10 %.
- Observation Combined uncertainty showed saturation in net irrigation requirement fluctuations.
- 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 %.