用大型生物数据设计未来的谷物作物:朝着智能驱动的设计育种
Lei Liu1, Jimin Zhan1, Jianbing Yan1
1National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
Journal of genetics and genomics = Yi chuan xue bao
|March 26, 2024
概括
在气候变化中,培育先进的作物品种对于全球粮食安全至关重要. 由设计驱动的智能育种加速了高产,适应性和优质谷物作物的发展,如大米,玉米和小麦.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 基因组学就是基因组学.
背景情况:
- 预计100亿人的养是一个重大挑战,不可预测的气候变化加剧了这一挑战.
- 农作物育种历来确保了全球粮食供应,但目前的方法可能无法满足未来对生产力,质量和适应性的需求.
研究的目的:
- 审查谷物作物育种的最新进展,重点关注智能驱动的设计性育种.
- 探索新技术和大数据如何加速优质作物品种的发展.
主要方法:
- 对作物农学特征当前知识的审查.
- 对新开发的育种技术进行分析.
- 检查作物大生物数据研究.
主要成果:
- 通过设计,智能驱动的育种整合了各种数据和技术.
- 这种方法正在塑造作物育种实践和未来作物架构的新时代.
- 综述强调了这些概念应用于主要的谷物作物:大米,玉米和小麦.
结论:
- 由设计驱动的智能育种是一种可行的策略,以满足未来的粮食需求.
- 这种方法使作物的发展速度更快,提高了生产力,质量和适应性.
- 大数据和先进技术的整合正在彻底改变谷物作物的改良.
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