Split apsimx into individual simulations Generate the parameter spaces and prepare the task list for parallel calculation Run all tasks in cluster to collect results Develop scripts to run individual task on HTCondor Merge simulated values of all treatments for the target cultivars.
China has successfully reduced particulate matter pollution, but ozone concentrations continually grow. Here, we employed a atmospheric chemistry-climate model and modified two crop models with considering the effects of diffuse fertilization and …
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
This page collects the common errors and possible solutions for APSIM Next Generation.
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Latitude or longitude are missing or not numeric values in the weather file.
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 (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 …
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 …
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 …
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 …
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 …
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 …
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 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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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, …