APSIM

rapsim

R package to modify and run sim files in APSIM Classic.

RApsimNG

R package to modify and run apsimx file.

Crop Model Summer Workshop in Beijing (2020)

In the Crop Model Summer Workshop in Beijing 2020 organized by Professor Liping Feng, China Agriculture University, I would present our works with title Crop model: a bridge from genotyping to phenotyping about

Common Errors in APSIM Next Generation

This page collects the common errors and possible solutions for APSIM Next Generation. Weather file Input string was not in a correct format. Latitude or longitude are missing or not numeric values in the weather file.

Does precipitation keep pace with temperature in the marginal double-cropping area of northern China?

Northern China is the major grain-production region in the country. To adapt to climate change and ensure food security with a fixed area of arable land, utilizing a multiple cropping frequency each year is regarded as an efficient method of …

A reduced‐tillering trait shows small but important yield gains in dryland wheat production

Reducing the number of tillers per plant using a tiller inhibition (tin ) gene has been considered as an important trait for wheat production in dryland environments. We used a spatial analysis approach with a daily time‐step coupled radiation and …

Designing crops for adaptation to the drought and high‐temperature risks anticipated in future climates

Climate risks pervade agriculture and generate major consequences on crop production. We do not know what the next season will be like, let alone the season 30 years hence. Yet farmers need to decide on genotype and management (G×M) combinations in …

Enabling breeding of spring wheat for optimisation of flowering time for current and future climates by linking genetic maps to simulation model parameters

In Australian wheat production, optimizing wheat phenology is essential to reach yield potential and to avoid within‐season stress at critical periods, especially around flowering. Identifying loci that determine heading date of wheat cultivars and …

From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time

Genotype by environment interaction (G×E) for the target trait, e.g. yield, is an emerging property of agricultural systems and results from the interplay between a hierarchy of secondary traits involving the capture and allocation of environmental …

Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies

Genomic prediction of complex traits, say yield, benefits from including information on correlated component traits. Statistical criteria to decide which yield components to consider in the prediction model include the heritability of the component …

Assessment of traits related with water productivity in the Australian wheatbelt using an improved version of the APSIM-Wheat model.

Traits related with water productivity in dryland cropping interact in multiple ways to influence final grain yield. The APSIM-Wheat model has proved useful to address how to best combine traits for region-specific and management-specific adaptation …

Assessment of traits related with water productivity in the Australian wheatbelt using an improved version of the APSIM-Wheat model.

Traits related with water productivity in dryland cropping interact in complex ways to influence final grain yield. Over the last decades, the APSIM-Wheat model has proved useful to address how to best combine traits for region-specific and …

A generic approach to modelling, allocation and redistribution of biomass to and from plant organs

Accurate prediction of the allocation and redistribution of crop biomass is essential for simulating the impact of crop traits and management approaches on field-scale outcomes. The Agricultural Production system Simulator (APSIM) Plant Modelling …

Effects of climate change on the extension of the potential double cropping region and crop water requirements in Northern China

Multiple cropping systems have been widely used in China as smart strategies to address climate change to ensure that increasing food demand is met. In the context of climate warming, the climate-based boundaries of multiple cropping systems are …

Improving process-based crop models to better capture genotype×environment×management interactions

In spite of the increasing expectation for process-based crop modelling to capture genotype (G) by environment (E) by management (M) interactions to support breeding selections, it remains a challenge to use current crop models to accurately predict …

Modelling impact of early vigour on wheat yield in dryland regions

Early vigour, or faster early leaf area development, has been considered an important trait for rainfed wheat in dryland regions such as Australia. However, early vigour is a genetically complex trait, and results from field experiments have been …

APSIM Next Generation: Overcoming challenges in modernising a farming systems model

From 1990, the Agricultural Production Systems sIMulator (APSIM) has grown from a field-focused farming systems framework used by a small number of people, into a large collection of models used by thousands of modellers internationally. The software …

Modelling maize phenology, biomass growth and yield under contrasting temperature conditions

Crop modelling has become an effective means to assess climate change impact on crop yield and to assist in development of adaptation strategies. Previous studies found large uncertainty in simulated crop yields, especially beyond optimal temperature …

Projected impact of future climate on water-stress patterns across the Australian wheatbelt

Drought frequently limits Australian wheat production, and the expected future increase in temperatures and rainfall variability will further challenge productivity. A modelling approach captured plant×environment×management interactions to simulate …

Assessment of canopy growth and development for three wheat cultivars under different water and nitrogen regimes

Traits related to water productivity in dryland cropping interact in multiple ways to influence final grain yield. Crop modelling can be a useful tool to address the challenge of determining how to best combine region-specific traits and develop …

Improving the relationships used to define frost damage to wheat in crop models

In order to predict the consequences and value of frost adaptation through breeding and agronomy across Australia’s cropping region it is essential that a validated frost damage function is incorporated into our crop models. This paper reports on …

Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance

Frost, during reproductive developmental stages, especially post head emergence frost (PHEF), can result in catastrophic yield loss for wheat producers. Breeding for improved PHEF tolerance may allow greater yield to be achieved, by (i) reducing …

Quantifying high temperature risks and their potential effects on sorghum production in Australia

High temperatures across the Australian sorghum belt can reduce sorghum yields, but genotypic differences in heat tolerance could mitigate these yield losses. The objectives of this study were to quantify occurrences of high temperatures around …

Drought in wheat – Past and future trends

Understanding how climate is varying and is likely affecting crop productivity in the coming decades is essential for global food security. Climate change studies predict an increase in temperature and more rainfall variability in future decades, …

Identification of Earliness Per Se Flowering Time Locus in Spring Wheat through a Genome-Wide Association Study

Identification of earliness per se (Eps) flowering time loci in spring wheat are troublesome due to confounding effects of vernalization and photoperiod responses. The Wheat Association Mapping Initiative panel of 287 elite lines was assessed to …

Improvement of the model capacity and assessment traits related with water use efficiency for wheat in Australia

Traits related with water productivity in dryland cropping interact in multiple ways to influence final grain yield, with traits being of different value across environments. In recent years, crop models have been demonstrated as a useful tool to …

A standardized workflow to utilise a grid-computing system through advanced message queuing protocols

Point-based crop models are frequently used to investigate the interaction of genotype, environment and management (G × E × M) for breeding programs and adaptation research. These studies require the processing of millions of simulations to make …

Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches

Stresses from heat and drought are expected to increasingly suppress crop yields, but the degree to which current models can represent these effects is uncertain. Here we evaluate the algorithms that determine impacts of heat and drought stress on …

Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis

A crop can be viewed as a complex system with outputs (e.g. yield) that are affected by inputs of genetic, physiology, pedo-climatic and management information. Application of numerical methods for model exploration assist in evaluating the major …

Velocity of temperature and flowering time in wheat – assisting breeders to keep pace with climate change

By accelerating crop development, warming climates may result in mismatches between key sensitive growth stages and extreme climate events, with severe consequences for crop yield and food security. Using recent estimates of gene responses to …

Breeding for the future: How to adapt to frost, drought and heat impacts in Australian wheat

While extreme climatic events (frost, heat and drought) can already severely limit wheat production, the expected future increase in extreme temperatures and rainfall variability will further challenge improvement in crop productivity. In addition, …

Heat stress effects on grain sorghum productivity – biology and modelling

Heat stress shock has been known to cause sterility in sorghum and the anticipated increasing frequency of heat shock events with maximum temperature trends implies increasing risk. Here we summarise our research on specific varietal attributes …

Projected impacts of climate change on drought stresses in Australian wheat

Wheat is one of the primary staple foods. Due to a rising population and improved living standards, demand for this crop continues to increase. Much of the wheat produced in Australia is grown in water-limited environments. Climate models project …

Quantification of direct and indirect cost of frost for the Australian wheatbelt

A single post head-emergence frosts (PHEF) event has the potential to devastate individual wheat crops by damaging stems and killing whole heads. Wheat crops are most sensitive after head emergence and hence management of crop phenology to avoid PHEF …

The shifting influence of drought and heat stress for crops in Northeast Australia

Characterization of drought environment types (ETs) has proven useful for breeding crops for drought-prone regions. Here, we consider how changes in climate and atmospheric carbon dioxide (CO2) concentrations will affect drought ET frequencies in …

Gene-based prediction of heading time to target real-time and future climate adaptation in wheat

Spring wheat production systems in Australia require fine-tuning of heading time in order to maximise the efficient use of resources (radiation, water, fertiliser) across the season, while minimising the risk of crop failure due to frost, heat and …

Predicting heading date and frost impact in wheat across Australia

Spring radiant frosts occurring when wheat is in reproductive developmental stages can result in catastrophic yield lost for producers. In wheat, heading time is the main determinant to minimize frost risks and to adapt new frost-tolerant cultivars …

Climate change adaptation in Australian wheat farm systems upscaled from farm to national scale

Wheat is one of the main grains produced across the globe and wheat yields are highly sensitive to changes in climate. Australia is one of the main exporters of wheat, and variations in its national production can affect global markets. We evaluated …

Landscape frost

Spatial temperature measurement and mapping tools to assist growers, advisors and extension specialists manage frost risk at a farm scale

The value of adapting to climate change in Australian wheat farm systems: farm to cross-regional scale

Wheat is one of the main grains produced across the globe and wheat yields are sensitive to changes in climate. Australia is a major exporter of wheat, and variations in its national production influence trade supplies and global markets. We …

Frost trends and their estimated impact on yield in the Australian wheatbelt

Radiant spring frosts occurring during reproductive developmental stages can result in catastrophic yield loss for wheat producers. To better understand the spatial and temporal variability of frost, the occurrence and impact of frost events on …

National scale adaptation value in wheat farm systems by 2030, filling the yield gap or interactive benefits?

Abstract A large set of biophysical system-modelling simulations were undertaken for a set of 30 representative farm systems across the Australian wheat belt for a historical period (1980-2010) and projected climate to 2030 (AR4). Simulated yield and …

Crop design for specific adaptation in variable dryland production environments

Climatic variability in dryland production environments (E) generates variable yield and crop production risks. Optimal combinations of genotype (G) and management (M) depend strongly on E and thus vary among sites and seasons. Traditional crop …

Trait assessment

Raising water productivity: Trait assessment for Australian rainfed wheat

Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping

Plant breeding trials are extensive (100s to 1000s of plots) and are difficult and expensive to monitor by conventional means, especially where measurements are time-sensitive. For example, in a land-based measure of canopy temperature (hand-held …

Breeding for the future: How to adapt to potential impacts of future frost, drought and heat events on Australian wheat?

While extreme climatic events (frost, heat and drought) can already severely limit wheat production, the expected future increase in extreme temperatures and rainfall variability will further challenge improvement in crop productivity. In addition, …

Breeding for the future – avoiding climate extremes and maximising yield of spring wheat in water-limited environments

Crop design for specific adaptation in variable dryland production environment

Climatic variability in dryland production environments (E) generates crop production risks. Optimal combinations of genotype (G) and management (M) depend strongly on E and thus vary among sites and seasons. Traditional crop improvement approaches …

Predicting heading time of Australian wheat using effects of VRN1 and Ppd-D1

Flowering time is a main determinant of wheat adaptation to diverse environments and is influenced by three groups of genes, earliness per se (EPS), VRN and PPD. The gene-based models, used known genes to predict wheat phenotype, would be robust for …

Using gene-based information to adapt wheat flowering time to avoid heat, frost and drought stresses in current and future climates

Varying the timing of reproductive stages of growth relative to climatic stresses is a useful adaptation to maintain yields. In future climates, the expectation that heat, frost and drought stresses may change in their timing means requires that …