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Assessing the impacts of projected climate changes on maize (Zea mays) productivity using crop models and climate scenario simulation

https://doi.org/10.1071/cp21279
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2016ms000625openalex-snapshot
Calibration‐induced uncertainty of the EPIC model to estimate climate change impact on global maize yield
inferredcites →https://doi.org/10.1007/s10584-012-0623-1openalex-snapshot
Adapting dryland agriculture to climate change: Farming implications and research and development needs in Western Australia
inferredcites →https://doi.org/10.1007/s10584-016-1601-9openalex-snapshot
Impact of progressive global warming on the global-scale yield of maize and soybean
inferredcites →https://doi.org/10.1016/j.agrformet.2016.07.021openalex-snapshot
Assessing climate adaptation options and uncertainties for cereal systems in West Africa
inferredcites →https://doi.org/10.1016/j.agrformet.2018.01.005openalex-snapshot
Modelling maize phenology, biomass growth and yield under contrasting temperature conditions
inferredcites →https://doi.org/10.1016/j.agrformet.2018.12.019openalex-snapshot
Optimized sowing time windows mitigate climate risks for oats production under cool semi-arid growing conditions
inferredcites →https://doi.org/10.1016/j.agrformet.2020.108093openalex-snapshot
Elevated atmospheric carbon dioxide effects on maize and alfalfa in the Northeast US: A comparison of model predictions and observed data
inferredcites →https://doi.org/10.1016/j.agsy.2017.03.011openalex-snapshot
Climate change impact under alternate realizations of climate scenarios on maize yield and biomass in Ghana
inferredcites →https://doi.org/10.1016/j.agwat.2015.10.011openalex-snapshot
Simulating future climate change impacts on seed cotton yield in the Texas High Plains using the CSM-CROPGRO-Cotton model
inferredcites →https://doi.org/10.1016/j.agwat.2018.09.029openalex-snapshot
How well do we need to estimate plant-available water capacity to simulate water-limited yield potential?
inferredcites →https://doi.org/10.1016/j.agwat.2019.04.021openalex-snapshot
Simulating the impacts of climate change on hydrology and crop production in the Northern High Plains of Texas using an improved SWAT model
inferredcites →https://doi.org/10.1016/j.agwat.2019.105959openalex-snapshot
Cropping system productivity and evapotranspiration in the semiarid Loess Plateau of China under future temperature and precipitation changes: An APSIM-based analysis of rotational vs. continuous systems
inferredcites →https://doi.org/10.1016/j.agwat.2020.106238openalex-snapshot
Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios
inferredcites →https://doi.org/10.1016/j.compag.2016.03.015openalex-snapshot
Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application
inferredcites →https://doi.org/10.1016/j.cropro.2016.09.003openalex-snapshot
Modelling crop-weed competition: Why, what, how and what lies ahead?
inferredcites →https://doi.org/10.1016/j.eja.2020.126073openalex-snapshot
Traits of plant morphology, stalk mechanical strength, and biomass accumulation in the selection of lodging-resistant maize cultivars
inferredcites →https://doi.org/10.1016/j.envsoft.2014.07.009openalex-snapshot
APSIM – Evolution towards a new generation of agricultural systems simulation
inferredcites →https://doi.org/10.1016/j.fcr.2011.07.001openalex-snapshot
Methodologies for simulating impacts of climate change on crop production
inferredcites →https://doi.org/10.1016/j.fcr.2016.06.024openalex-snapshot
Phenological responses of spring wheat and maize to changes in crop management and rising temperatures from 1992 to 2013 across the Loess Plateau
inferredcites →https://doi.org/10.1016/j.fcr.2016.11.002openalex-snapshot
Modelling cereal crops to assess future climate risk for family food self-sufficiency in southern Mali
inferredcites →https://doi.org/10.1016/j.fcr.2017.09.015openalex-snapshot
Extending growing period is limited to offsetting negative effects of climate changes on maize yield in the North China Plain
inferredcites →https://doi.org/10.1016/j.fcr.2019.02.002openalex-snapshot
New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments
inferredcites →https://doi.org/10.1016/j.plantsci.2020.110412openalex-snapshot
Review: Climate change impacts on food security- focus on perennial cropping systems and nutritional value
inferredcites →https://doi.org/10.1016/j.scitotenv.2017.07.017openalex-snapshot
Recent changes in county-level corn yield variability in the United States from observations and crop models
inferredcites →https://doi.org/10.1016/s1002-0160(11)60122-7openalex-snapshot
Evaluation of Pedotransfer Functions for Estimating Soil Water Retention Curve of Saline and Saline-Alkali Soils of Iran
inferredcites →https://doi.org/10.1016/s1161-0301(02)00108-9openalex-snapshot
An overview of APSIM, a model designed for farming systems simulation
inferredcites →https://doi.org/10.1016/s2095-3119(14)60951-5openalex-snapshot
Water consumption in summer maize and winter wheat cropping system based on SEBAL model in Huang-Huai-Hai Plain, China
inferredcites →https://doi.org/10.1023/a:1010760720215openalex-snapshot
The distribution of soil nutrients with depth: Global patterns and the imprint of plants
inferredcites →https://doi.org/10.1023/b:clim.0000004551.55871.ebopenalex-snapshot
Vulnerability Assessment of the Maize and Sorghum Crops to Climate Change in Botswana
inferredcites →https://doi.org/10.1038/nature09364openalex-snapshot
The impacts of climate change on water resources and agriculture in China
inferredcites →https://doi.org/10.1111/gcb.14723openalex-snapshot
Response of maize biomass and soil water fluxes on elevated CO2 and drought—From field experiments to process‐based simulations
inferredcites →https://doi.org/10.1126/science.1183700openalex-snapshot
Breeding Technologies to Increase Crop Production in a Changing World
inferredcites →https://doi.org/10.1142/9781783265640_0003openalex-snapshot
AgMIP Climate Data and Scenarios for Integrated Assessment
inferredcites →https://doi.org/10.1175/bams-d-11-00094.1openalex-snapshot
An Overview of CMIP5 and the Experiment Design
inferredcites →https://doi.org/10.13031/trans.13317openalex-snapshot
Growth Response and Productivity of Sorghum for Bioenergy Production in South Texas
inferredcites →https://doi.org/10.2134/agronj2010.0303openalex-snapshot
Climate Impacts on Agriculture: Implications for Crop Production
inferredcites →https://doi.org/10.2134/agronj2011.0420openalex-snapshot
Cotton Production as Affected by Irrigation Level and Transitioning Tillage Systems
inferredcites →https://doi.org/10.2134/agronj2013.0421openalex-snapshot
Evaluating APSIM Maize, Soil Water, Soil Nitrogen, Manure, and Soil Temperature Modules in the Midwestern United States
inferredcites →https://doi.org/10.2134/jpa1997.0168openalex-snapshot
Using Southern Oscillation Information for Determining Corn and Sorghum Profit‐Maximizing Input Levels in East‐Central Texas
inferredcites →https://doi.org/10.2136/sssaj2005.0117openalex-snapshot
Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4197624openalex-extracted
Quantitative Sensitivity of Crop Productivity and Water Use Efficiency to Precipitation Conditions During Growth Periods for the Cropping Systems in the Agro-Pastoral Ecotone of Shanxi Province, China, Based on the Agricultural Production Systems Simulator
inferred← citeshttps://doi.org/10.2139/ssrn.4197625openalex-extracted
Quantitative Sensitivity of Crop Productivity and Water Use Efficiency to Precipitation Conditions During Growth Periods for the Cropping Systems in the Agro-Pastoral Ecotone of Shanxi Province, China, Based on the Agricultural Production Systems Simulator
inferred← citeshttps://doi.org/10.1016/j.agwat.2024.108757openalex-snapshot
Irrigation water economic value and productivity: An econometric estimation for maize grain production in Italy
inferred← citeshttps://doi.org/10.1016/j.funbio.2025.101659openalex-snapshot
Penicillium rubens, a root fungal endophyte, increase stress tolerance and productivity in crops under drought stress
inferred← citeshttps://doi.org/10.1016/j.synbio.2026.04.036openalex-snapshot
Advancing our understanding of photosynthesis: discoveries and insights from aquatic plants
inferred← citeshttps://doi.org/10.28991/hef-2023-04-01-05openalex-snapshot
Genotype by Environment Interaction on Early-Maturing and High-Yield Maize Hybrids
inferred← citeshttps://doi.org/10.3390/agriculture16010040openalex-snapshot
Climatic Variability and Adaptive Zoning of Maize Cultivation in High-Latitude Cold Regions
inferred← citeshttps://doi.org/10.3390/agriculture16192123openalex-snapshot
Climate Change and Sustainable Maize Production: Risks, Response and Resilience Pathways
inferred← citeshttps://doi.org/10.3390/agronomy13010117openalex-snapshot
Assessing Climate Change Impacts on Irrigation Water Requirements under Mediterranean Conditions—A Review of the Methodological Approaches Focusing on Maize Crop
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