Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and ....Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and economic policy on entrepreneur’s behaviour and SMEs entry exit decisions. The project informs policy making through employing discrete choice experiments to elicit entrepreneur’s preferences for government policy and support post crisis. Read moreRead less
Harnessing genetic diversity for complex traits. Genetic diversity underpins crop improvement but has become increasingly narrow in our major crops. Strategies exist for mobilising simple traits (e.g. disease resistance) from wild accessions or landraces into cultivars, but there are no effective approaches for introducing complex traits, including stress tolerance or components of yield. Using barley as an important crop and a genetic model, the project aims to address this problem by applying ....Harnessing genetic diversity for complex traits. Genetic diversity underpins crop improvement but has become increasingly narrow in our major crops. Strategies exist for mobilising simple traits (e.g. disease resistance) from wild accessions or landraces into cultivars, but there are no effective approaches for introducing complex traits, including stress tolerance or components of yield. Using barley as an important crop and a genetic model, the project aims to address this problem by applying a novel approach; partial redomestication of wild accessions by introgressing genes required for modern farming, then evaluating the resulting partially adapted germplasm in hybrids with elite cultivars. The project expects to generate new and diverse germplasm pools for breeding.Read moreRead less
Molecular switches and genetic consequences of grain retention in cereals. Grain retention at maturity was key for crop domestication and laid the basis for farming. Wheat and barley have evolved a novel mechanism for ensuring grain retention and, although the genes are known, the mechanisms for action are not. Grain dispersal in the wild relatives involves highly targeted changes in the walls of a small number of cells. This project will explore how the two identified genes control this proces ....Molecular switches and genetic consequences of grain retention in cereals. Grain retention at maturity was key for crop domestication and laid the basis for farming. Wheat and barley have evolved a novel mechanism for ensuring grain retention and, although the genes are known, the mechanisms for action are not. Grain dispersal in the wild relatives involves highly targeted changes in the walls of a small number of cells. This project will explore how the two identified genes control this process and clarify their mode of action. The genes ensuring grain retention have been so critical for domestication that the region surrounding them has become genetically fixed. The project will assess the implication of fixation on genetic diversity and develop options to bring novel variation into breeding programs.Read moreRead less
Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key featur ....Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key feature in biology, which relates to dissecting the complex mechanism of association and interaction. The proposed statistical model implemented in a context of a novel design based on multiple GWAS data sets is a paradigm shifting-tool with applications to multiple industries.Read moreRead less