Big data modelling to forecast crop yield to enable precision fertilisation. This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an appro ....Big data modelling to forecast crop yield to enable precision fertilisation. This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an approach to harness all of these data streams to guide spatially variable applications of nitrogen fertilisers with a focus on grains cropping. This should provide the opportunity to allocate fertiliser inputs as required at fine spatial scales according to local soil and weather conditions to maximise profit and minimise off-farm impacts of excessive fertilisation.Read moreRead less
Characterising annual ryegrass (Lolium rigidum) in Australia. Annual rye grass (ARG) defies modern chemical technologies through evolving resistance. Agriculture has prospect of no herbicide options for ARG control in 10 years. Traditional approaches do not provide sustainable answers. A novel study of fundamental factors influencing competitiveness of this species is warranted to achieve more strongly based management options. Benefits are a prototype for improving understanding of other weed s ....Characterising annual ryegrass (Lolium rigidum) in Australia. Annual rye grass (ARG) defies modern chemical technologies through evolving resistance. Agriculture has prospect of no herbicide options for ARG control in 10 years. Traditional approaches do not provide sustainable answers. A novel study of fundamental factors influencing competitiveness of this species is warranted to achieve more strongly based management options. Benefits are a prototype for improving understanding of other weed species, a stronger basis for determining management of Australia's worst temperate crop weed. Bringing together knowledge of ARG's genetic diversity, the role of endophyte and its allelopathic capabilities provides a powerful basis for unlocking the barriers to the control of this species.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100077
Funder
Australian Research Council
Funding Amount
$150,000.00
Summary
Automated preparative gas chromatograph for isolating unique and important organic components for structural identification. The rapid capability to purify and identify significant and important organic compounds, present at low levels within complex mixtures, is fundamental to geochemistry, plant biology, chemistry, and environmental science. This facility's automated gas chromatograph will assist in isolating and purifying new compounds from microbes, plants, humans, animals, and environmental ....Automated preparative gas chromatograph for isolating unique and important organic components for structural identification. The rapid capability to purify and identify significant and important organic compounds, present at low levels within complex mixtures, is fundamental to geochemistry, plant biology, chemistry, and environmental science. This facility's automated gas chromatograph will assist in isolating and purifying new compounds from microbes, plants, humans, animals, and environmental and geological samples.Read moreRead less
Alleviating herbicide damage to crops by using fulvate and manganese. Glyphosate is a widely used herbicide, but its drift can cause growth depression in sensitive plants such as wheat by reducing uptake of metallic micronutrients, particularly manganese. In pot and field trials, this project aims to assess the alleviating potential of fulvate and manganese on growth and micronutrient uptake by wheat exposed to glyphosate drift. The influence of land management on the effect of these treatments ....Alleviating herbicide damage to crops by using fulvate and manganese. Glyphosate is a widely used herbicide, but its drift can cause growth depression in sensitive plants such as wheat by reducing uptake of metallic micronutrients, particularly manganese. In pot and field trials, this project aims to assess the alleviating potential of fulvate and manganese on growth and micronutrient uptake by wheat exposed to glyphosate drift. The influence of land management on the effect of these treatments will also be assessed. The underlying mechanisms will be characterised, eg. by determining metal speciation in soil and assessing soil microbial community composition. The outcome of this project will contribute to sustainable agriculture by giving land managers options to reduce glyphosate damage in sensitive crops.Read moreRead less
Crop genome complexity: sulphur metabolism and mustard pungency. This project aims to explain the molecular basis of crop plant plasticity in the context of a complex crop genome. It will determine how epigenetic mechanisms contribute to regulating the yield of a secondary metabolite harvested from mustard plants in response to variation in environmental factors. Specifically it will explore the relationship between sulphur metabolism and small RNA regulation of glucosinolates. The project shoul ....Crop genome complexity: sulphur metabolism and mustard pungency. This project aims to explain the molecular basis of crop plant plasticity in the context of a complex crop genome. It will determine how epigenetic mechanisms contribute to regulating the yield of a secondary metabolite harvested from mustard plants in response to variation in environmental factors. Specifically it will explore the relationship between sulphur metabolism and small RNA regulation of glucosinolates. The project should uncover the role that duplicated genetic loci and epigenetic marks play in regulating tissue-specific gene networks, particularly in field-grown environments. The project will explore how duplication of genes enables a crop such as mustard to respond to application of sulphur fertiliser and regulate the stockpiling of the 'hot' volatile oil in mustard seed, a valuable export commodity.Read moreRead less
Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driv ....Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driven seasonal forecast system using high density climate data from the 17,000 Grain Growers Association members and climate drivers such as sea surface temperature from the Bureau of Meteorology. After validation against observed data, the forecasts will be delivered via a web-based portal to users.Read moreRead less