Journal of Food, Nutrition and Population Health Open Access

Simulation of carbon fluxes and evapotranspiration in rice fields

3^rd Edition of International Conference on Agriculture & Food Chemistry

July 23-24, 2018 Rome, Italy

Jonghan Ko, Jinsil Choi, Seungtaek Jeong and Bhone Nay-Htoon

Chonnam National University, South Korea Livelihoods and Food Security Trust Fund - UNOPS, Myanmar

Posters & Accepted Abstracts: J Food Nutr Popul Health

Abstract:

Quantification of the canopy photosynthesis and evapotranspiration (ET) of crops is essential to determine the effects of environmental changes on CO2 fluxes and ET in agricultural ecosystems and crop productivity. This study was conducted to simulate the CO2 fluxes and ET of paddy rice (Oryza sativa) based on the development of photosynthesis and ET models. We also projected spatiotemporal variations in CO2 assimilation and ET using a crop model based on remotely sensed information to identify a link of CO2 and water balances with the accumulation of plant biomass. The photosynthesis and ET models that were developed simulated CO2 assimilation and ET that had statistically acceptable agreements with the corresponding experimental measurements. Also, projections of spatiotemporal variations in absorption of CO2 and ET were established using the GRAMI- rice model using remote sensing data. These results indicate that CO2 and water fluxes in paddy rice could be well quantified based on simulation projecting spatiotemporal assimilation of CO2 and ET. Our results would highlight the need to partition water and carbon fluxes to improve our mechanistic understanding of primary productivity and water use efficiency of rice and environmental impact of agricultural practices. Further efforts should be made to seek ecological implications through a fusion between at-ground measurements and remote sensing observations via model improvement.

Biography :

Jonghan Ko is an Associate Professor position at Chonnam National University, Gwangju, South Korea. He is a crop modeler and agricultural remote sensing researcher. His research fields include agronomic applications of crop modeling techniques, quantitative agricultural remote sensing and environmental crop ecology. He was awarded a PhD degree in Agronomy at Texas Tech University, Lubbock, Texas, The USA, with a dissertation topic of “Development of a cotton crop model that uses remote sensing data” in 2004. He received both Bachelor’s and Master’s degrees in agronomy at Kangwon National University, Chuncheon, South Korea in 1995 and 1998 respectively.

E-mail: Jonghan.ko@jnu.ac.kr