Accelerating pulse breeding using machine learning

利用机器学习加速豆类育种

• 批准号: LP230100351
• 负责人: Prof David Edwards
• 金额: $ 46.29万
• 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: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP230100351
• 关键词: Accelerating; pulse; breeding; using; machine

Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This project will develop machine learning (ML) tools for the analysis of pulse legume crop traits and their association with genomic variation to accelerate the breeding of high performance pulse legumes for Australian growers.

基因组学和高通量表型分析的进展正在产生大量可用于作物改良的数据，然而，缺乏计算分析工具和方法限制了对这些数据的充分利用。由于适应性差，豆类作物目前正在澳大利亚农业中得到利用，但它们对土壤改良和高蛋白作物生产都有显著的好处。该项目将开发机器学习(ML)工具，用于分析豆类作物的特性及其与基因组变异的关系，以加速为澳大利亚种植者培育高性能豆类作物。