Quantification of leaf photosynthetic traits in field conditions: Towards an efficient and reliable method for plant phenotyping and modelling ecophysiological processes
The study aims to compare the accuracy of different methods for estimating leaf photosynthetic traits, particularly Vc max, for process-based modeling.
Evaluated RACiR and OP methods against traditional A/Ci curve in a two-year field experiment.
Utilized four Cannabis sativa varieties grown under various irrigation regimes.
Integrated derived photosynthetic traits into a coupled A-gs model for assessment.
A/Ci curve provided the most accurate gs simulations with R2 values from 0.55 to 0.84.
RACiR and OP methods resulted in gs overestimations of 26.7% and 50.7%, respectively.
A/Ci curves remained the preferred method under Mediterranean conditions for high accuracy in Vc max estimation.