Global demand for durum wheat (Triticum turgidum L. ssp. durum) will increase with our dramatic continuous growing population. However, production is facing climatic fluctuations and evolving pests and diseases. In Australia, the industry has encountered many challenges surrounding stable and profitable production. These include the lack of reliable rainfall throughout the production regions resulting in severe droughts, and the susceptibility of durum wheat to crown rot (CR; caused predominantly by Fusarium pseudograminearum). Damage to durum wheat crops caused by CR is exacerbated by water stress. Thus far, due to the limited protection attainable by fungicide application and lack of genetic resistance in elite durum breeding germplasm, it has been recognised that breeding varieties incorporating reduced susceptibility to CR would be the most effective control measure when effectively combined with other management practices. For example, improved root system architecture holds some promise for enhancing access to water in arid and semi-arid production areas, particularly in deep soils with high water-holding capacity. This may be advantageous in CR-affected environments if it enables improved access to water that could simultaneously help to avoid drought and so reduce the impact of CR on yield. Hence, this research aimed to identify and combine multiple desirable physiological traits, or adaptive features, to provide some tolerance to CR. Firstly, to identify genetic regions influencing root growth angle (RGA) and CR tolerance, an integrated screening method was developed for phenotyping root variation and CR tolerance, along with other important traits such as leaf rust and plant height in durum wheat. The method was adapted to speed breeding and provided plant breeders with protocols and tools to apply selection in early generations of population development. Therefore, the selection will result in enriching recombinant inbred lines (RILs) with desirable alleles and reduce the number of years required to combine these traits in elite breeding populations. Secondly, a nested association mapping (NAM) population was developed within 18 months using speed breeding technology, including an F4 generation in the field. NAM population were developed by crossing eight elite lines imported from the International Centre for Agricultural Research in the Dry Areas (ICARDA) with two Australian cultivars. This population generated a significant variation for above-and below-ground traits that could be harnessed and explored using genetic mapping and breeding approaches. To identify key genomic regions associated with RGA, a subset of 393 NAM lines were phenotyped using the 'clear pot' method. Combining RGA data with 2,541 polymorphic DArTseq markers information, a major iii independent QTL (qSRA-6A) on 6A chromosome was identified. Furthermore, haplotype analysis for this QTL identified two major haplotype groups in the population, highlighting the opportunity for combining root traits with above-ground traits to better ...