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人工智能在植物育种中的应用

Muhammad Amjad Farooq¹, Shang Gao¹, Muhammad Adeel Hassan²

¹State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), International Maize and Wheat Improvement Center (CIMMYT) China office, Beijing 100081, China; Nanfan Research Institute, CAAS, Sanya, Hainan 572024, China.

Trends in genetics : TIG

|August 8, 2024

概括

人工智能 (AI) 正在通过增强数据收集,释放遗传多样性和弥合基因型-表型差距来彻底改变植物育种. 人工智能驱动的精密育种优化了作物特征和未来环境的农业可持续性.

科学领域:

农业科学农业科学
计算生物学计算生物学
遗传学遗传学是一个

背景情况:

现代植物育种旨在利用先进技术提高作物生产率.
人工智能 (AI) 在大数据分析和模式识别方面表现出色,影响了各种科学领域.
人工智能为改善作物和农业可持续性提供了变革性的潜力.

研究的目的:

探索人工智能在植物育种中的广泛应用.
突出AI在数据收集,遗传多样性和基因型-表型差距分析中的作用.
展示人工智能开发适应气候变化的作物品种和优化作物系统的能力.

主要方法:

审查人工智能在植物育种数据管理和分析中的应用.
研究AI在获取和利用基因库中的遗传多样性的实用性.
检查AI在精确基因编辑和表型预测中的作用.

主要成果:

人工智能有助于在育种计划中有效收集和分析数据.
人工智能工具可以解锁基因库中的遗传多样性,以提高作物改进.
人工智能弥合了基因型-表型差距,使得定制作物品种的开发成为可能.
人工智能提高了基因编辑的精度,并预测了基因变异对表型的影响.

结论:

人工智能驱动的精密育种显著提高了作物开发的效率.
人工智能通过交叉作物和作物旋转模型优化作物系统,提高可持续性.
人工智能技术对于开发适应气候变化的作物和确保未来的粮食安全至关重要.

关键词:

人工智能是一种人工智能.大数据就是大数据.深度学习是一种深度学习.遗传收益遗传收益遗传收益植物育种植物育种

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