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
Characterisation of soil microbial interactions for increased efficacy of herbicides using novel fertiliser management practices. Soil microbes are essential for nutrient cycling and plant root growth. This project aims to investigate whether herbicides influence soil biological processes when different types of fertilisers are used. It is expected that complex interactions between fertiliser practice and herbicides will alter herbicide efficacy in weed control. This project aims to compare nove ....Characterisation of soil microbial interactions for increased efficacy of herbicides using novel fertiliser management practices. Soil microbes are essential for nutrient cycling and plant root growth. This project aims to investigate whether herbicides influence soil biological processes when different types of fertilisers are used. It is expected that complex interactions between fertiliser practice and herbicides will alter herbicide efficacy in weed control. This project aims to compare novel fertiliser practices claimed to maximise benefits from soil microbial processes with traditional fertiliser practices which can override biological processes, including beneficial plant-microbial symbioses. This will enable a rigorous evaluation of fertiliser-herbicide interactions to clarify whether soil microbial benefits can be included as part of weed control programs.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
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