Claim · model-written summary
Using the calibration equation, the largest sap flow error was reduced by 50% in the field study.
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Sensors in Maize”
e0“the largest sap flow error was reduced by 60, 50, and 50% in the lysimeter experiment, pot experiment, and field study, respectively”
Title
An Empirical Calibration for Heat‐Balance Sap‐Flow Sensors in Maize
Yueyue Wang; Xiao Zhang; Xinhua Xiao; et al. Agronomy Journal 2017. doi:10.2134/agronj2016.10.0611
Other claims from this paper (7)
- Method / resource In all studies, sap velocity measured with heat-balance sensors overestimated maize transpiration.
- Observation The sap flow sensor errors were small in the evening and early morning.
- Observation The sap flow sensor errors became larger with increasing transpiration.
- Observation The sap flow sensor errors reached a maximum when solar irradiance was the largest.
- Method / resource A linear calibration equation, T’ = 0.65 V + 0.39, was established to convert measured sap flow velocity to corrected transpiration rate.
- Method / resource Using the calibration equation, the largest sap flow error was reduced by 60% in the lysimeter experiment.
- Method / resource Using the calibration equation, the largest sap flow error was reduced by 50% in the pot experiment.