Fiaz Sajid, Uzair Muhammad, Zhang Baohong
Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
National Institute for Genomics and Advanced Biotechnology (NIGAB), NARC, Islamabad, Pakistan.
Physiol Plant. 2024 Nov-Dec;176(6):e70014. doi: 10.1111/ppl.70014.
Modern plant breeding technologies have played a central role in addressing global food security challenges. These technologies, including next-generation sequencing (NGS) and multi-omics analysis, genome-wide association analysis (GWAS), genome editing and transgenics, machine learning, and speed breeding, have been improving crop yield and quality as well as crop adaptability under climate change conditions, such as tolerance to both biotic and abiotic stresses. Furthermore, identification, searching, assessment, and combining desirable integrated (morphological, physiological, and biochemical) attributes have been achieved with greater accuracy, efficiency, time, and cost-effectiveness, all of which are essential to meeting global food demands. These advancements hold promises for increasing food security in the face of population growth and climate change, ensuring a more resilient and sustainable food production system. Therefore, this topical collection was developed to feature the latest developments in modern plant breeding approaches to understand and improve plant attributes essential for ensuring sustainable crop production.
现代植物育种技术在应对全球粮食安全挑战方面发挥了核心作用。这些技术，包括下一代测序（NGS）和多组学分析、全基因组关联分析（GWAS）、基因组编辑和转基因技术、机器学习以及快速育种，一直在提高作物产量和品质，以及作物在气候变化条件下的适应性，例如对生物和非生物胁迫的耐受性。此外，对理想的综合（形态、生理和生化）特性的识别、搜索、评估和组合已经能够以更高的准确性、效率、速度和成本效益来实现，所有这些对于满足全球粮食需求至关重要。面对人口增长和气候变化，这些进展有望增强粮食安全，确保建立更具韧性和可持续性的粮食生产系统。因此，本专题集旨在展示现代植物育种方法的最新进展，以了解和改善确保作物可持续生产所必需的植物特性。
