Abstract
Rice phenology and growth simulation using DSSAT- CERES-Rice crop model under the different temperatures changing with climatic condition
Highlights
Model simulation is one of the most imperative tools in the current world for analyzing the utility of parameters related to meteorological, soil and plant aspects, to predict the crop yield and growth features (Lone et al, 2016)
This study focused to simulate the effect of different temperatures on yield performed for phenology, grain yield, tops weight, leaf area index, harvest index, and tillers number
It showed that grain weight, tillers number, leaf area index and harvest index had an excellent agreement with the observed value
Summary
Model simulation is one of the most imperative tools in the current world for analyzing the utility of parameters related to meteorological, soil and plant aspects, to predict the crop yield and growth features (Lone et al, 2016). Rice (Oryza sativa L.) is an essential cereal crop nourishing near about half of the world’s populations by contributing 50 to 80% of regular caloric consumption (Amirjani, 2011; FAO, 2012). Upland rice suffers severely from irregular environmental factors, e.g., air temperature, drought, and precipitation (Jalota, 2010). Temperature is credited by its impact on crop yield, due to production expansion under heat stress conditions that greatly influences the growth duration and pattern of the rice plant (Fahad et al, 2017).
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