Unravelling the algorithms of plant form

揭开植物形态的算法

• 批准号: 2869546
• 金额: --
• 依托单位: University of East Anglia
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2869546
• 关键词: Unravelling; algorithms; plant; form

Grasses exhibit a stunning diversity in their shape and form. How do these different forms arise? What genetics underlie the observed shapes? What can computer science and modelling reveal about potential mechanisms? Many important staple crops are grasses (eg wheat, maize, rice, barley) and their different forms have a direct impact on yield, making this fundamental study into plant form simultaneously an investigation into routes for enhancing grain production and food security. This project will work with expert computational modellers to unravel the structural diversity of wheat and other grasses, and alongside leading wheat geneticists to build and validate computational models of whear. The models will build on and extend existing frameworks that capture key geneticcomponents.

草在形状和形式上表现出惊人的多样性。这些不同的形式是如何产生的？观察到的形状背后的遗传学是什么？计算机科学和建模可以揭示哪些潜在机制？许多重要的主食作物是草（如小麦，玉米，水稻，大麦），它们的不同形式对产量有直接影响，使这种对植物形态的基础研究同时成为提高粮食生产和粮食安全的途径的调查。该项目将与专业计算建模人员合作，解开小麦和其他草的结构多样性，并与领先的小麦遗传学家一起建立和验证小麦的计算模型。这些模型将建立在现有框架的基础上，并扩展现有框架，以捕获关键的遗传组件。