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利用多基因的洞察力和利用野生亲属在玉米中对干旱和热耐受性的潜力

Shakra Jamil¹, Shakeel Ahmad², Rahil Shahzad¹

¹Agricultural Biotechnology Research Institute, Ayub Agricultural Research Institute, Faisalabad 38000, Pakistan.

Journal of agricultural and food chemistry

|July 9, 2024

概括

气候变化威胁到玉米产量,到2080年可能使玉米产量减少25.7%. 这项研究探讨了玉米的压力反应,并使用多种经济学和人工智能来开发适应气候的玉米品种.

科学领域:

农业科学农业科学
植物生物学植物生物学
遗传学是一个遗传学.

背景情况:

气候变化,特别是干旱和热应激,对全球农业生产力构成重大威胁.
玉米 (Zea mays) 尤其容易受到影响,预计到2080年产能下降高达25.7%.
开发气候智能玉米对于粮食安全至关重要.

研究的目的:

研究玉米对单个和联合干旱和热压力的反应的分子机制.
探索玉米野生亲属作为耐压力遗传资源的潜力.
利用人工智能 (AI) 和大数据方法开发适应气候变化的玉米.

主要方法:

利用多组学方法,包括基因组学和转录组学,来剖析压力耐受性的遗传基础.
检查了植物对单个和联合环境压力因素的反应.
提出了一个集成的大数据和人工智能驱动的网络农业系统.

主要成果:

确定了参与玉米应激反应的关键分子通路.
强调玉米野生亲属对增强遗传多样性和应激弹性的重要性.
展示了omics数据与人工智能结合用于有针对性的繁殖的潜力.

结论:

了解植物在分子层面的应激反应对于培育适应气候的作物至关重要.
整合多态数据与人工智能为加速气候智能玉米发展提供了一个强大的策略.
未来的努力应侧重于跨学科,数据驱动的方法,以确保在气候变化中的玉米生产.

关键词:

在 QTL 映射中使用 QTL 映射.无生物压力是无生物压力.基因组编辑基因组编辑基因组学就是基因组学.欧米克斯辅助繁殖是什么意思

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