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Advanced plant breeding and food manufacturing for healthier bread. This project aims to generate bread containing high amounts of biologically available iron through targeted manipulation of plant-derived phytonutrients at several points along the wheat-to-bread supply chain. The project expects to generate new knowledge for developing healthier bread and address consumer demands for value-added food products. Anticipated outcomes are novel plant breeding and food manufacturing techniques that ....Advanced plant breeding and food manufacturing for healthier bread. This project aims to generate bread containing high amounts of biologically available iron through targeted manipulation of plant-derived phytonutrients at several points along the wheat-to-bread supply chain. The project expects to generate new knowledge for developing healthier bread and address consumer demands for value-added food products. Anticipated outcomes are novel plant breeding and food manufacturing techniques that enhance the nutritional composition of wheat grain and bread making products, resulting in higher-value agricultural commodities and breads. The project should benefit bread retailers and crop growers involved in Australia’s $4.7 billion bread market and reduce the environmental impacts of bread production.Read moreRead less
Field and quasi-field phenotyping for the quantitative characterisation of wheat yield under stress. The project aims to develop state-of-the-art monitoring and profiling capabilities for the quantitative assessment of plant growth performance in field and quasi-field environments under the abiotic stress conditions of drought and nutrient deficiency. This project involves the design and use of high resolution but low budget imaging stations to capture the growth of cereal plants in competitive ....Field and quasi-field phenotyping for the quantitative characterisation of wheat yield under stress. The project aims to develop state-of-the-art monitoring and profiling capabilities for the quantitative assessment of plant growth performance in field and quasi-field environments under the abiotic stress conditions of drought and nutrient deficiency. This project involves the design and use of high resolution but low budget imaging stations to capture the growth of cereal plants in competitive environments. Novel computer vision and image processing techniques will be applied to the image data to quantitatively characterise the success of genetic varieties to tolerate abiotic stress environments under actual field conditions.Read moreRead less