Ghatak Arindam, Pierides Iro, Singh Roshan Kumar, Srivastava Rakesh K, Varshney Rajeev K, Prasad Manoj, Chaturvedi Palak, Weckwerth Wolfram
Molecular Systems Biology Lab (MOSYS), Department of Functional and Evolutionary Ecology, University of Vienna, Djerassiplatz 1, 1030 Vienna, Austria.
Vienna Metabolomics Center (VIME), University of Vienna, Djerassiplatz 1, 1030 Vienna, Austria.
J Exp Bot. 2025 Apr 9;76(6):1534-1545. doi: 10.1093/jxb/erae507.
Our current agricultural system faces a perfect storm-climate change, a burgeoning population, and unpredictable outbreaks such as COVID-19 which disrupt food production, particularly for vulnerable populations in developing countries. A paradigm shift in agriculture practices is needed to tackle these issues. One solution is the diversification of crop production. While ~56% of the plant-based protein stems from three major cereal crops (rice, wheat, and maize), underutilized crops such as millets, legumes, and other cereals are highly neglected by farmers and the research community. Millets are one of the most ancient and versatile orphan crops with attributes such as fast growing, high yielding, withstanding harsh environments, and rich in micronutrients such as iron and zinc, making them appealing to achieve agronomic sustainability. Here, we highlight the contribution of millet to agriculture and focus on the genetic diversity of millet, genomic resources, and next-generation omics and their applications under various stress conditions. Additionally, integrative omics technologies could identify and develop millets with desirable phenotypes having high agronomic value and mitigating climate change. We emphasize that biotechnological interventions, such as genome-wide association, genomic selection, genome editing, and artificial intelligence/machine learning, can improve and breed millets more effectively.
我们当前的农业系统面临着一场完美风暴——气候变化、人口激增以及像新冠疫情这样不可预测的疫情爆发,这些因素扰乱了粮食生产,尤其是对发展中国家的弱势群体而言。需要对农业实践进行范式转变来应对这些问题。一种解决办法是实现作物生产多样化。虽然大约56%的植物性蛋白质来自三种主要谷类作物(水稻、小麦和玉米),但像小米、豆类和其他谷类等未充分利用的作物却被农民和研究界严重忽视。小米是最古老、用途最广泛的孤生作物之一,具有生长快、产量高、耐恶劣环境以及富含铁和锌等微量营养素等特性,这使得它们对实现农业可持续性颇具吸引力。在此,我们强调小米对农业的贡献,并聚焦于小米的遗传多样性、基因组资源、新一代组学及其在各种胁迫条件下的应用。此外,整合组学技术可以鉴定和培育出具有理想表型、具有高农艺价值且能缓解气候变化的小米品种。我们强调,诸如全基因组关联分析、基因组选择、基因组编辑以及人工智能/机器学习等生物技术干预手段,能够更有效地改良和培育小米。