Nitrogen (N) is the most important plant nutrient and is the most commonly applied element to agricultural crops. In many cases nitrogen fertiliser is the main input cost for farmers, and in addition, is a major pollutant from agricultural activity. Most plants only take up 50% or less of the applied N, and most of the remainder is lost to leaching into ground water and waterways, or volatilised into the atmosphere. Hence, improving the nitrogen responsiveness of crops is crucial for food security and environmental sustainability, and breeding N use efficient (NUE) crops has to exploit genetic variation for this complex trait.In this thesis, reverse genetics was used to examine allelic variation in two key N metabolism genes. In silico analysis of the genomes of 44 genetically diverse sorghum genotypes identified a nitrate reductase and a glutamate synthase gene (NADH-GOGAT) that were under balancing selection in improved sorghum cultivars. It was hypothesised that these genes are a potential source of differences in NUE, and parents and progenies of nested association mapping populations were selected with different allelic combinations for these genes. Allelic variation was sourced from African (Macia) and Indian (ICSV754) genotypes that had been backcrossed into the Australian elite parent R931945-2-2. Nine genotypes with different allelic combinations were grown for 30 days in a glasshouse and supplied with continuous limiting (1 mM nitrate) or replete N (10 mM nitrate), or replete N for 27 days followed by three days N starvation prior to harvest. Biomass, N and nitrate contents were quantified together with gene expressions in leaves, stems and roots.Limiting N supply universally resulted in less shoot and root growth, increased root weight ratio, reduced tissue nitrate and N concentrations, and reduced NADH-GOGAT expression. None of the tested genotypes exceeded growth or NUE of elite parent R931945-2-2. This may indicate that the allelic combinations did not confer an advantage during early vegetative growth, or that selection in a modern plant breeding program has already optimised the allelic combinations for these loci. It is also noteworthy that plants were grown under controlled environment conditions, and field responses may have been somewhat different. It is also possible that any selective advantage of other allelic combinations may only have been apparent in plants grown to anthesis and/or grain maturity. Thus, the next steps for ascertaining potential effects on NUE include growing plants to maturity. It is concluded that reverse genetics that take advantage of rapidly expanding genomic databases contributes towards a systematic approach for developing N efficient crops.ii