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的进展正在生成大量可用于作物改进的数据，但是缺乏计算分析工具和方法限制了对该数据的全面利用。脉搏豆类目前由于适应不良而在澳大利亚农业中被使用，但是它们为土壤改善和高蛋白质作物的产生提供了重大好处。该项目将开发机器学习（ML）工具，用于分析脉搏豆类作物特征及其与基因组变异的关联，以加速澳大利亚种植者的高性能脉搏豆类的繁殖。