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为了确定大麦改良管理策略，特别是播种时间、地点与澳大利亚东北部不同气候的霜冻风险关系，进行了本研究。通过田间试验，弄清了土壤水分和环境因子作用于作物生育动态变化，从而构建起大麦生长模拟模式（QBAR）。该模式能够模拟生长在最佳养份供应和无病虫草害条件下大麦的产量潜势。基因型变量已由北部地区谷物生产中通常种植的4个品种所确定。运用澳大利亚东北地区粮食带中10个地点长期的气候资料和品种Grimmet一系列播种时间获得的概率产量结果进行了不同的模拟。结果表明，种植者采用的一般种植时间在一定环境下太晚，很难获得最高产量。进而用QBAR提供了适于作物管理决策的支持软件包信息，并对产量预测进行了讨论。
This study was conducted to determine barley improved management strategies, especially the relationship between planting time, location and frost risk in different climates in northeastern Australia. Field experiments were conducted to clarify the dynamic effects of soil moisture and environmental factors on crop growth so as to construct a barley growth simulation model (QBAR). This model can simulate the yield potential of barley grown under optimal nutrient supply and disease-free and bug-free conditions. Genotype variables have been determined by the four cultivars commonly grown in cereal production in the northern region. Different simulations were performed using the long-term climatic data at 10 sites in the food belt of northeastern Australia and the probabilistic yield results obtained with a series of sowing times for the Grimmet variety. The results show that the average planting time used by growers is too late in certain circumstances and it is difficult to obtain the highest yields. QBAR was then used to provide support package information for crop management decisions and the yield forecast was discussed.