Predictive Models & Decision Support Systems for Virus Diseases and Aphid Vectors of Lupin and Canola

预测模型

• 批准号: LP0560884
• 负责人: Prof Kadambot Siddique
• 金额: $ 8.25万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-06-09 至 2007-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0560884
• 关键词: Predictive; Models; Decision; Support; Systems

Aphids and the viruses they transmit cause major economic losses in legume and canola crops in Australia. This project will develop innovative predictive models and decision support systems (DSS's) for Beet western yellows virus and direct aphid feeding damage in canola and two types of Bean yellow mosaic virus in lupin, and a DSS for direct aphid feeding damage in lupin. These models will greatly improve understanding of factors driving virus epidemics and aphid outbreaks. Following extensive validation with data previously collected in the WA grainbelt, the predictive models and DSS's will be extended to end-users, resulting in considerable productivity gains, reduced costs and environmental benefits.

蚜虫及其传播的病毒给澳大利亚的豆类和油菜籽作物造成了重大的经济损失。本项目将开发甜菜西部黄病毒和油菜蚜虫直接取食危害的创新预测模型和决策支持系统（DSS），以及油菜蚜虫直接取食危害的决策支持系统（DSS）。这些模型将大大提高对驱动病毒流行和蚜虫爆发的因素的理解。在对先前在西澳谷物带收集的数据进行广泛验证后，预测模型和DSS将扩展到最终用户，从而显著提高生产率，降低成本并带来环境效益。