Abstract：
Climate change, particularly drought and heat stress, may slash agricultural productivity by 25.7% by 2080, with maize being the hardest hit. Therefore, unraveling the molecular nature of plant responses to these stressors is vital for the development of climate-smart maize. This manuscript\'s primary objective was to examine how maize plants respond to these stresses, both individually and in combination. Additionally, the paper delved into harnessing the potential of maize wild relatives as a valuable genetic resource and leveraging AI-based technologies to boost maize resilience. The role of multiomics approaches particularly genomics and transcriptomics in dissecting the genetic basis of stress tolerance was also highlighted. The way forward was proposed to utilize a bunch of information obtained through omics technologies by an interdisciplinary state-of-the-art forward-looking big-data, cyberagriculture system, and AI-based approach to orchestrate the development of climate resilient maize genotypes.
摘要：
气候变化,特别是干旱和高温胁迫，到2080年，农业生产力可能会削减25.7%，其中玉米受到的打击最大。因此,揭示植物对这些压力源的反应的分子性质对于气候智能玉米的发展至关重要。这份手稿的主要目的是研究玉米植物如何应对这些胁迫，无论是单独还是组合。此外,该论文深入研究了利用玉米野生近缘种作为宝贵遗传资源的潜力，并利用基于AI的技术来提高玉米的抗逆性。还强调了多组学方法，特别是基因组学和转录组学在剖析胁迫耐受性的遗传基础中的作用。提出了前进的道路，即利用跨学科最先进的前瞻性大数据通过组学技术获得的大量信息，网络农业系统，和基于人工智能的方法来协调气候适应型玉米基因型的发展。
