Modeling salinity effect on rice growth and grain yield with ORYZA v3 and APSIM-Oryza.

ABSTRACT: Development and testing of reliable tools for simulating rice production in salt-affected areas are presented in this paper. New functions were implemented in existing crop models ORYZA v3 and the cropping systems modelling framework APSIM. Field experiments covering two years, two different sites, and three varieties were used to validate both improved models. We used the salt balance module in the systems model APSIM to simulate the observed daily soil salinity with acceptable accuracy (RMSEn <35%), whereas ORYZA v3 used measured soil salinity at a given interval of days as a model input. Both models presented similarly good accuracy in simulating aboveground biomass, leaf area index, and grain yield for IR64 over a gradient of salinity conditions. The model index of agreement ranged fro

SUBMITTER: Radanielson AM 

PROVIDER: S-EPMC7729823 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature