An overview of APSIM, a model designed for farming systems simulation
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Use of genotype x environment interactions to understand rooting depth and the ability of wheat to penetrate hard soilsUnderstanding the Impacts of Soil, Climate, and Farming Practices on Soil Organic Carbon Sequestration: A Simulation Study in AustraliaDeliberative processes for comprehensive evaluation of agroecological models. A reviewFinding pathways to national-scale land-sector sustainability.What actually confers adaptive capacity? Insights from agro-climatic vulnerability of Australian wheat.An integrated soil-crop system model for water and nitrogen management in North ChinaImpact of agricultural management practices on soil organic carbon: simulation of Australian wheat systems.Putting mechanisms into crop production models.Whole-farm models to quantify greenhouse gas emissions and their potential use for linking climate change mitigation and adaptation in temperate grassland ruminant-based farming systems.Negative effects of climate warming on maize yield are reversed by the changing of sowing date and cultivar selection in Northeast China.Characterizing drought stress and trait influence on maize yield under current and future conditions.How do various maize crop models vary in their responses to climate change factors?Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence.Response of wheat growth, grain yield and water use to elevated CO2 under a Free-Air CO2 Enrichment (FACE) experiment and modelling in a semi-arid environmentEffects of changing climate and cultivar on the phenology and yield of winter wheat in the North China Plain.The shifting influence of drought and heat stress for crops in northeast Australia.The implication of irrigation in climate change impact assessment: a European-wide study.An overview of available crop growth and yield models for studies and assessments in agriculture.Climate change and maize yield in southern Africa: what can farm management do?Contributions of cultivar shift, management practice and climate change to maize yield in North China Plain in 1981-2009.Operational seasonal forecasting of crop performance.Testing the responses of four wheat crop models to heat stress at anthesis and grain filling.Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations.Model biases in rice phenology under warmer climates.The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2.Climate trends account for stalled wheat yields in Australia since 1990.Ensemble yield simulations: Using heat-tolerant and later-maturing varieties to adapt to climate warmingExploring Niches for Short-Season Grain Legumes in Semi-Arid Eastern Kenya - Coping with the Impacts of Climate Variability.CERES-Maize Model for Determining the Optimum Planting Dates of Early Maturing Maize Varieties in Northern Nigeria.Changing human landscapes under a changing climate: considerations for climate assessments.Testing simulations of intra- and inter-annual variation in the plant production response to elevated CO(2) against measurements from an 11-year FACE experiment on grazed pasture.Integrating Crop Growth Models with Whole Genome Prediction through Approximate Bayesian Computation.Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis.Simulating carbon capture by enhanced weathering with croplands: an overview of key processes highlighting areas of future model developmentGenetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modeling and genome-wide association.Scope for improved eco-efficiency varies among diverse cropping systemsQuantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments.Modeling Long-Term Corn Yield Response to Nitrogen Rate and Crop Rotation.Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock systems.Genetic Architecture of Flowering Phenology in Cereals and Opportunities for Crop Improvement.
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An overview of APSIM, a model designed for farming systems simulation
description
article
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована в січні 2003
@uk
name
An overview of APSIM, a model designed for farming systems simulation
@en
An overview of APSIM, a model designed for farming systems simulation
@nl
type
label
An overview of APSIM, a model designed for farming systems simulation
@en
An overview of APSIM, a model designed for farming systems simulation
@nl
prefLabel
An overview of APSIM, a model designed for farming systems simulation
@en
An overview of APSIM, a model designed for farming systems simulation
@nl
P2093
P50
P1476
An overview of APSIM, a model designed for farming systems simulation
@en
P2093
B.A Keating
D Holzworth
D.M Freebairn
G.L Hammer
J.N.G Hargreaves
P304
P356
10.1016/S1161-0301(02)00108-9
P577
2003-01-01T00:00:00Z