Abstract
Serhan Yeşilköy, David H. Fleisher, Sahila Beegum, Dennis Timlin
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
unpaywall
Confidence 95%
doaj
Confidence 92%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Impact of pre-anthesis drought stress on physiology, yield-related traits, and drought-responsive genes in green super rice
2022
A canopy transpiration model based on scaling up stomatal conductance and radiation interception as affected by leaf area index
10.3390/w13030252 · 2021
Assessment of climate change impact on rice yield and water footprint of large-scale and individual farming in Thailand
10.1016/j.scitotenv.2020.137864 · 2020
Climate change impact on major crop yield and water footprint under CMIP6 climate projections in repeated drought and flood areas in Thailand
10.1016/j.scitotenv.2021.150741 · 2022
Improving the cotton simulation model, GOSSYM, for soil, photosynthesis, and transpiration processes
10.1038/s41598-023-34378-3 · 2023
Diurnal evolution and annual variability of boundary-layer height and its correlation to other meteorological variables in California’s Central Valley
10.1007/s10546-011-9622-4 · 2011
Trends in rice research: 2030 and beyond
10.1002/fes3.390 · 2023
Unresolved referenced work
2023
Impact of potential climate change on crop yield and water footprint of rice in the Po valley of Italy
10.1016/j.agsy.2015.07.009 · 2015
Unresolved referenced work
2001
Scheduling rice irrigation using soil moisture thresholds for furrow irrigation and intermittent flooding
10.1002/agj2.20600 · 2021
Adaptation of paddy rice in China to climate change: The effects of shifting sowing date on yield and irrigation water requirement
10.1016/j.agwat.2019.105890 · 2020
Yield gap analysis of US rice production systems shows opportunities for improvement
10.1016/j.fcr.2016.07.011 · 2016
Calibration and validation of APSIM–Maize, DSSAT CERES–Maize and AquaCrop models for Ethiopian tropical environments
10.1080/02571862.2020.1837271 · 2021
Response of a US rice hybrid variety to high heat at Two CO2 concentrations during anthesis and grainfill
10.1016/j.agrformet.2022.109058 · 2022
A potato model intercomparison across varying climates and productivity levels
10.1111/gcb.13411 · 2017
The Crop, Land, and Soil Simulation (CLASSIM) group of models
2025
Crop models and their use in assessing crop production and food security: A review
10.1002/fes3.503 · 2024
Global water availability and requirements for future food production
10.1175/2011jhm1328.1 · 2011
Drivers of water use in the agricultural sector of the European Union 27
10.1021/acs.est.9b06662 · 2020
Variability in the water footprint of arable crop production across European regions
10.3390/w9020093 · 2017
Water footprint assessment: evolvement of a new research field
10.1007/s11269-017-1618-5 · 2017
Rice protein and rice protein products
2017
Determination of a sustainable management for rice production through a modeling approach
10.1007/s42106-024-00319-x · 2025
State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas
10.1080/15715124.2024.2304546 · 2025
A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand
10.1016/0378-4290(91)90040-3 · 1991
Carbon footprint and water footprint of rice and wheat production in Punjab, India
10.1016/j.agsy.2020.102959 · 2021
Performance of DSSAT-Nwheat across a wide range of current and future growing conditions
10.1016/j.eja.2016.08.012 · 2016
To bias correct or not to bias correct? An agricultural impact modelers’ perspective on regional climate model data
2021
From ORYZA2000 to ORYZA (v3): An improved simulation model for rice in drought and nitrogen-deficient environments
10.1016/j.agrformet.2017.02.025 · 2017
Quantifying the impact of climate change and extreme heat on rice in the United States
10.1016/j.agrformet.2024.110145 · 2024
Evaluation of different crop models for simulating rice development and yield in the US Mississippi Delta
10.3390/agronomy10121905 · 2020
Improving Simulations of Rice in Response to Temperature and CO2
10.3390/agronomy12122927 · 2022
Application of a coupled model of photosynthesis, stomatal conductance and transpiration for rice leaves and canopy
10.1016/j.compag.2021.106047 · 2021
The optimization of model ensemble composition and size can enhance the robustness of crop yield projections
10.1038/s43247-023-01016-9 · 2023
Effects of tillage systems on soil water distribution, crop development, and evaporation and transpiration rates of soybean
10.1016/j.agwat.2022.107719 · 2022
Global agricultural water scarcity assessment incorporating blue and green water availability under future climate change
10.1029/2021ef002567 · 2022
Rice evapotranspiration at the field and canopy scales under water-saving irrigation
10.1007/s00703-017-0507-z · 2018
Water Footprint of crop productions: A review
10.1016/j.scitotenv.2016.01.022 · 2016
Analysis of crop water requirements and irrigation demands for rice: Implications for increasing effective rainfall
10.1016/j.agwat.2021.107285 · 2022
Ratooning as an adaptive management tool for climatic change in rice systems along a north-south transect in the southern Mississippi valley
10.1016/j.agrformet.2018.09.010 · doi-reference
Physiological and environmental control on ecosystem water use efficiency in response to drought across the northern hemisphere
10.1016/j.scitotenv.2020.143599 · doi-reference
Impacts of extreme climate events on future rice yields in global major rice-producing regions
10.3390/ijerph19084437 · doi-reference
Sustainable intensification for a larger global rice bowl
10.1038/s41467-021-27424-z · doi-reference
Estimating water footprint of paddy rice in Korea
10.1007/s10333-013-0358-2 · doi-reference
Yields and water footprints of sunflower and winter wheat under different climate projections
10.1016/j.jclepro.2021.126780 · doi-reference
Assessment and modelling of crop yield and water footprint of winter wheat by aquacrop
10.13128/ijam-859 · doi-reference
A contemporary systematic review of Cyberinfrastructure Systems and Applications for Flood and Drought Data Analytics and Communication
10.1088/2515-7620/ad85c4 · doi-reference
Linking drought indicators and crop yields through causality and information transfer: a phenology-based analysis
10.1038/s41598-025-32185-6 · doi-reference
Assessment of potential climate change effects on the rice yield and water footprint in the Nanliujiang catchment, China
10.3390/su10020242 · doi-reference
Projection of Rainfed Rice Yield Using CMIP6 in the Lower Lancang–Mekong River Basin
10.3390/agronomy13061504 · doi-reference
Urban water resource management for sustainable environment planning using artificial intelligence techniques
10.1016/j.eiar.2020.106515 · doi-reference
Identifying meteorological drivers of extreme impacts: an application to simulated crop yields
10.5194/esd-12-151-2021 · doi-reference
The effects of climate extremes on global agricultural yields
10.1088/1748-9326/ab154b · doi-reference
Climate change will accelerate the high-end risk of compound drought and heatwave events
10.1073/pnas.2219825120 · doi-reference
NASA global daily downscaled projections, CMIP6
10.1038/s41597-022-01393-4 · doi-reference
Summarizing multiple aspects of model performance in a single diagram
10.1029/2000jd900719 · doi-reference
Projected long-term climate trends reveal the critical role of vapor pressure deficit for soybean yields in the US Midwest
10.1016/j.scitotenv.2023.162960 · doi-reference
Application of the CSM-CERES-Maize model for planting date evaluation and yield forecasting for maize grown off-season in a subtropical environment
10.1016/j.eja.2007.03.002 · doi-reference
Quantifying the impact of climate change on crop yield and water footprint of rice in the Nam Oon Irrigation Project, Thailand
10.1016/j.scitotenv.2017.05.028 · doi-reference
Important distinctiveness of SSP3–7.0 for use in impact assessments
10.1038/s41558-023-01883-2 · doi-reference
Rising trends and variability of rice prices: Threats and opportunities for sub-Saharan Africa
10.1016/j.foodpol.2010.05.003 · doi-reference
Global water resources and the role of groundwater in a resilient water future
10.1038/s43017-022-00378-6 · doi-reference
A statewide network for monitoring agricultural water quality and water quantity in Arkansas
10.2489/jswc.68.2.45a · doi-reference
Impacts of alternate wetting and drying and delayed flood rice irrigation on growing season evapotranspiration
10.1016/j.jhydrol.2021.126080 · doi-reference
Climate variation explains a third of global crop yield variability
10.1038/ncomms6989 · doi-reference
Water Use Efficiency in Rice Under Alternative Wetting and Drying Technique Using Energy Balance Model with UAV Information and AquaCrop in Lambayeque, Peru
10.3390/rs16203882 · doi-reference
Towards a multiscale crop modelling framework for climate change adaptation assessment
10.1038/s41477-020-0625-3 · doi-reference
Spatial-temporal dynamics of grain yield and the potential driving factors at the county level in China
10.1016/j.jclepro.2020.120312 · doi-reference
Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models
10.1016/j.eja.2011.05.001 · doi-reference
A process-based soil erosion model for USDA-Water Erosion Prediction Project technology
10.13031/2013.31195 · doi-reference
Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios
10.1088/1748-9326/abd8fc · doi-reference
Increase in compound drought and heatwaves in a warming world
10.1029/2020gl090617 · doi-reference
An overview of flood concepts, challenges, and future directions
10.1061/(asce)he.1943-5584.0002164 · doi-reference
Sustainability of the blue water footprint of crops
10.1016/j.advwatres.2020.103679 · doi-reference
Water footprint benchmarks for crop production: A first global assessment
10.1016/j.ecolind.2014.06.013 · doi-reference
The green, blue and grey water footprint of crops and derived crop products
10.5194/hess-15-1577-2011 · doi-reference
The shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500
10.5194/gmd-13-3571-2020 · doi-reference
Farmer adaptation of intermittent flooding using multiple-inlet rice irrigation in Mississippi
10.1016/j.agwat.2014.08.023 · doi-reference
A high-resolution assessment of climate change impact on water footprints of cereal production in India
10.1038/s41598-021-88223-6 · doi-reference