New crop on the block: The genetic control of hempseed nutritional quality. Hempseed, which is rich in polyunsaturated oils and high-quality protein, is emerging as a functional food crop across Australia. However, very little is known about the genetic control of oil and protein contents and composition, crucial characteristics for the optimization of hempseed productivity and quality for the Australian industry. A unique genetic resource of 120 diverse hemp accessions, many provided by our ind ....New crop on the block: The genetic control of hempseed nutritional quality. Hempseed, which is rich in polyunsaturated oils and high-quality protein, is emerging as a functional food crop across Australia. However, very little is known about the genetic control of oil and protein contents and composition, crucial characteristics for the optimization of hempseed productivity and quality for the Australian industry. A unique genetic resource of 120 diverse hemp accessions, many provided by our industry partner, will be used to define the genetics underpinning nutritional variation and associated genotype-by-environment interactions. This fundamental knowledge will lay the foundation for targeted breeding and best management practice, for the benefit of farmers, the hemp industry and health-conscious consumers.Read moreRead less
CropVision: A next-generation system for predicting crop production. Accurate and timely production estimates are essential to Australia’s grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be don ....CropVision: A next-generation system for predicting crop production. Accurate and timely production estimates are essential to Australia’s grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be done by integrating the state of the art global climate models (GCM), biophysical crop modelling, and high-resolution earth observation technologies. This project will deliver a next generation crop prediction system to predict crop production at field scale for improved decision-making and enhancing resilience.Read moreRead less